Machine Code – 1C Plus Plus Street http://1cplusplusstreet.com/ Wed, 21 Jul 2021 23:37:35 +0000 en-US hourly 1 https://wordpress.org/?v=5.8 https://1cplusplusstreet.com/wp-content/uploads/2021/05/default.png Machine Code – 1C Plus Plus Street http://1cplusplusstreet.com/ 32 32 ‘Incel’ accused of conspiring to shoot women, US says https://1cplusplusstreet.com/incel-accused-of-conspiring-to-shoot-women-us-says/ https://1cplusplusstreet.com/incel-accused-of-conspiring-to-shoot-women-us-says/#respond Wed, 21 Jul 2021 22:58:52 +0000 https://1cplusplusstreet.com/incel-accused-of-conspiring-to-shoot-women-us-says/ An Ohio man who was part of an online community of “incels”, or misogynists who criticize women for denying them what they believe is their right to have sex, was arrested Wednesday and charged with ‘plotting to shoot students in sororities, federal prosecutors said. The man, Tres Genco, 21, of Hillsboro, Ohio, has been charged […]]]>

An Ohio man who was part of an online community of “incels”, or misogynists who criticize women for denying them what they believe is their right to have sex, was arrested Wednesday and charged with ‘plotting to shoot students in sororities, federal prosecutors said.

The man, Tres Genco, 21, of Hillsboro, Ohio, has been charged with one count of attempting to commit a hate crime, which, because it was attempted murder, is punishable by life imprisonment, and one count of unlawful possession of a machine gun, which carries a sentence of up to 10 years, according to the Justice Department.

Mr Genco’s public defender Richard Monahan did not immediately respond to the messages on Wednesday.

From July 2019 to March 2020, according to a federal indictment, Mr. Genco was active on a website for “incels,” short for unintentional bachelors, a label that community members claim for themselves.

The move gained attention in 2014, when Elliot Rodger, a self-proclaimed Incel who left misogynist ramblings behind, killed six people, including two women, outside a sorority house in Isla Vista, California.

In 2018, a man drove a rental van on a busy Toronto sidewalk, killing 10 people and seriously injuring 16, minutes after posting a Facebook tribute to Mr. Rodger and proclaiming, “The Incel Rebellion has already started !

Mr Genco, who had undergone basic army training at Fort Benning in Georgia from August 2019 to December 2019, also expressed his admiration for Mr Rodger, prosecutors said.

Prior to his attack, Mr Rodger had shot a group of students with orange juice from a water pistol, prosecutors said.

Mr Genco posted on an incel website that he also shot couples and “foids” – short for “femoids,” an incel term for women – with orange juice from a handgun. water, which made him feel “spiritually connected to the saint on that day,” according to the indictment.

On August 3, 2019, Mr. Genco wrote a manifesto titled “A Hideous Symphony” by “Tres Genco, the Socially Exiled Incel”, in which he declared that he would “slaughter” women out of “hatred, jealousy and revenge” . Prosecutors said. On the same day, Mr. Genco searched online for sororities and an Ohio university, which was not named in a federal indictment.

On January 11, 2020, prosecutors said, Mr Genco wrote another document titled ‘isolated’, in which he said: ‘If you are reading this, I have done something horrible. One way or another, you came across the writings of the deceived and the homicides, ”prosecutors said. He signed the document, “Your hopeful, murderous friend.”

Four days later, Mr. Genco conducted surveillance at an unidentified Ohio university and searched the internet for “planning a gun crime” and “when does planning a crime become an attempt? Prosecutors said.

On March 11, 2020, Mr. Genco searched online for police scanner codes for Columbus, Ohio Police and University Police, prosecutors said.

The next day, police went to Mr. Genco’s home and found in the trunk of his vehicle a firearm with a butt attached, several loaded magazines, bulletproof vests and boxes of ammunition, prosecutors said.

Inside Mr Genco’s home, officers found an unmarked and unmarked Glock-style 9-millimeter semi-automatic pistol hidden in a heating vent in his bedroom, prosecutors said.

Seamus Hughes contributed reporting.


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Atom Computing Raises $ 15 Million to Create Phoenix Quantum Computing System https://1cplusplusstreet.com/atom-computing-raises-15-million-to-create-phoenix-quantum-computing-system/ https://1cplusplusstreet.com/atom-computing-raises-15-million-to-create-phoenix-quantum-computing-system/#respond Wed, 21 Jul 2021 13:00:10 +0000 https://1cplusplusstreet.com/atom-computing-raises-15-million-to-create-phoenix-quantum-computing-system/ All Transform 2021 sessions are available on demand now. Look now. Atomic computing raised $ 15 million in funding to build its Phoenix quantum computing system. He also hired Intel director Rob Hays as CEO. It’s a complicated machine that might one day deliver blazingly fast calculations, but it’s also reminiscent of the days of […]]]>

All Transform 2021 sessions are available on demand now. Look now.


Atomic computing raised $ 15 million in funding to build its Phoenix quantum computing system. He also hired Intel director Rob Hays as CEO.

It’s a complicated machine that might one day deliver blazingly fast calculations, but it’s also reminiscent of the days of central computing, as the cooling system and accompanying hardware look like a few refrigerators stuck together.

Phoenix will be Atom Computing’s first-generation quantum computing system, based in Berkeley, Calif., Hays said in an interview with VentureBeat. Co-founder Benjamin Bloom will serve as CTO and Bill Jeffery has joined Atom’s board of directors.

“We think we have a very good approach to quantum computing which is quite unique,” ​​Hays said. “I’m joining the company as we move from pure R&D to starting a business with R&D here. “

How Phoenix is ​​unique

In an interview, Bloom said the company was the first to build nuclear spin qubits from an alkaline earth element. Today, the company unveiled its first-generation quantum computing system, Phoenix, as a 100-atom system with amazing stability.

“This nuclear spin qubit allows you to have consistency times that are orders and orders of magnitude greater than any other trading system like this,” Bloom said. “We write this quantum information like inside the nucleus of the atom, and it just doesn’t speak to the rest of the environment. We’re working very hard to get the information in there. But once he’s there, he just doesn’t run away.

Atom Computing’s quantum computers will use the quantum mechanical properties of atoms to process information and solve problems beyond the reach of traditional computers, including drug design, computational chemistry, and more.

Hays was most recently vice president and chief strategy officer for Lenovo’s infrastructure solutions group, where he led growth and
profitability strategy for Lenovo data center products and services. He also worked at Intel for over 20 years, where he was vice president of Intel’s Xeon processor roadmaps.

The investment comes from venture capitalists Venrock, Innovation Endeavors and Prelude Ventures. In addition, the National Science Foundation awarded three grants to the company. These investments enabled Atom Computing to assemble a team of brilliant quantum physicists and design engineers with experience in various disciplines and applications to help develop the company’s first quantum computing system. There are probably dozens of startups trying to do the same, because the stakes are high.

How quantum computing theory works

Above: Atom Computing needs to cool its quantum system to the lowest temperature.

Image Credit: Atom Computing

The company’s first-generation quantum computing system, Phoenix, is currently capable of trapping 100 atoms in a vacuum chamber with optical tweezers, which are very small traps for atoms. These atoms should be refrigerated to a micro Kelvin, or minus 273 degrees Celsius. It’s very cold, and that’s why there’s such a huge refrigeration system built around the computer that keeps atoms two hundred times cooler than outer space.

After manipulating the atoms in a grid, the team sends signals to and from the atoms using a complicated projector system, which sends laser pulses to the atoms to program them into states of 1, 0, or both at the same time. Atom Computing takes a piece of strontium, heats it to a very high temperature, turning it into a vapor beam that can take single atoms and cool them down to the lowest temperatures. They repeat this trick again and lower the temperature to a micro Kelvin.

The laser takes the place of a wire in a traditional computer chip. Quantum computers perform calculations based on the probability of an object’s state before it is measured. Cold keeps atoms stable for a short time, maybe 100 microseconds, but heat will eventually interfere with the qubit and produce an error.

These are like the bits of classical computers, where a transistor can be a 1 or a 0. Classical computers perform logical operations using the position of that 1 or that 0. But quantum computing can theoretically be done at a much smaller scale, with atoms doing the job for complex calculations.

In quantum computing, operations instead use the quantum state of an object to produce what is called a qubit, or quantum bit. These states are undefined properties of an object before they have been detected, such as the spin of an electron or the polarization of a photon. Rather than having a clear position, unmeasured quantum states occur in a mixed “superposition”. It has been described as a coin spinning through the air before it lands in your hand. The system expends a lot of energy to keep these positions in stable states for very short periods of time so that they can be manipulated all at once, in parallel. This parallelism makes quantum computers extremely fast, in theory.

Beyond theory

Over the past few years, Atom Computing has turned a normal office building into a state-of-the-art optics lab, Bloom said.

Phoenix is ​​able to rearrange and manipulate quantum states of 100 atoms at a time.

“We’re doing a kind of magic, involving lasers and RF’s that basically allow us to move single atoms at a time, almost like we’re playing a video game from the 1980s,” Bloom said. “We kind of mix the atoms together in this narrow grid. So we can create this nice regular board that a developer can program.

The system exhibits exceptionally stable large-scale qubits, with consistency times that are orders of magnitude larger than ever reported, Bloom said. In theory, if quantum computing works, it could be used to plug in special algorithms to quickly solve complex problems that would take forever on a typical computer.

“We built our first system, which allowed us to push these atoms into these really cold clouds and start seeing as one atom at a time,” Bloom said. “And that’s when we started going out and talking with people like Rob. Over the last few months we’ve basically taken this single atom and turned it into this huge array of atoms and started to manipulate them and show this new qubit that we called a nuclear spin qubit.

It could be used to crack codes or create hard-to-break security codes, or predict interactions of multiple particles in chemical reactions. Bloom was encouraged by the company’s rapid progress, which grew from 50 atoms to 100 atoms in one day.

Once the system is ready, Atom Computing will build the entire machine, including control systems, optical lasers, radio frequency circuits to control optical lasers, and it will use open source software for programming.

“We are going to start our second generation system, build it this year and make it available next year,” said Hay s.

Atom Computing has only 30 employees. And yet, it has gone quite far.

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Surprising new work for ReRAM technology https://1cplusplusstreet.com/surprising-new-work-for-reram-technology/ https://1cplusplusstreet.com/surprising-new-work-for-reram-technology/#respond Tue, 20 Jul 2021 20:37:36 +0000 https://1cplusplusstreet.com/surprising-new-work-for-reram-technology/ Resistive RAM (ReRAM) technology has been biding its time in the sun for several years now. Despite its placement on the roadmaps of several chipmakers and as part of new architectures like “The Machine” project based on HPE shutter memristors, it never took off as a breakthrough memory technology, even. so the concept makes perfect […]]]>

Resistive RAM (ReRAM) technology has been biding its time in the sun for several years now. Despite its placement on the roadmaps of several chipmakers and as part of new architectures like “The Machine” project based on HPE shutter memristors, it never took off as a breakthrough memory technology, even. so the concept makes perfect sense.

Manufacturing capacity, cost, and other factors played a role, but for companies like Crossbar, which has banked an entire company on the emerging role of ReRAM, the gamble has yet to pay off. The same company today announced a possible new life for ReRAM technology, in terms of security.

CrossBar, Inc. claims that ReRAM technology can be used in the creation of non-clonable physical cryptographic keys (PUF) because each key is specific to the individual integrated circuit.

This idea has some support, notably from Dr. Bertrand Cambou of the Nanotechnology and Cybersecurity group at North Arizona University. He says that after evaluating other PUF approaches, ReRAM has some advantages. “Due to its unique stochastic and electrical characteristics, CrossBar’s ReRAM PUF enables more secure systems than existing PUF technologies. Cambou discusses these other approaches in relation to ReRAM here in detail. This is a useful description of how PUFs suit ReRAM as well.

“The approach to generate PUFs on ReRAM arrays shows promise based on statistical analysis of resistive devices,” Cambou said. He adds: “Resistive RAM is an attractive memory technology for designing secure applications, PUFs and RNGs. It is energy efficient, fast, compact, and less susceptible to side channel attacks than flash memory.

To be fair, researching the role of ReRAM technology in PUFs and security is not a new idea. One of the first appearances of the concept came from Panasonic’s semiconductor group in 2016 using a 40nm ReRAM test chip to test the idea (with moderate success). Despite 2016 research so far, it’s still a bit marginal in terms of what use cases we might find and, like ReRAM itself, has all the right components but not the right ‘IT factor’ to break through. a path in the wider market. .

It must be very frustrating for CrossBar. The company finds itself in another tough market after ReRAM failed to materialize as the next big memory innovation. There are a lot of tech already on the PUF box (all of which use SRAM, by the way, which is cheap). Compared to SRAM-based PUF approaches, their method allows for a higher degree of randomness, lower bit error rates, and all this “without the need for fuzzy extractors, auxiliary data, or correction codes. heavy mistake, ”according to Mark Davis, president of CrossBar. .

In terms of ReRAM more broadly, it’s worth taking a closer look (we’re looking for one) on why ReRAM never took off. It can scale below 10nm, has exceptional read latencies, and can write a little faster than NAND. It doesn’t require any super sophisticated crafting magic. So why has the market switched to ReRAM? Dive deeper on this site.

CrossBar says its business is now available in multiple CMO foundry process nodes to achieve even higher densities and more tightly integrated devices. By the way, the company stays afloat by licensing SoC and memory companies as out-of-the-box and custom IP cores. It was first released in 2010, at the start of next-gen memory, and while the angle of security applications may help them continue to fight ReRAM, it’s hard to say what it will look like. future of technology in the years to come.

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8 best alternatives to OpenAI Safety Gym https://1cplusplusstreet.com/8-best-alternatives-to-openai-safety-gym/ https://1cplusplusstreet.com/8-best-alternatives-to-openai-safety-gym/#respond Tue, 20 Jul 2021 07:32:13 +0000 https://1cplusplusstreet.com/8-best-alternatives-to-openai-safety-gym/ Two years ago, Open AI released Safety Gym, a suite of environments and tools for measuring progress toward reinforcement learning agents that meet safety constraints during training. Safety Gym offers use cases in the reinforcement learning ecosystem. The open source version is available on GitHub, where researchers and developers can get started with just a […]]]>



Two years ago, Open AI released Safety Gym, a suite of environments and tools for measuring progress toward reinforcement learning agents that meet safety constraints during training.

Safety Gym offers use cases in the reinforcement learning ecosystem.

The open source version is available on GitHub, where researchers and developers can get started with just a few lines of code.

In this article, we’ll explore some of the alternative environments, tools, and libraries for researchers to train machine learning models.

IA Safety Gridworlds

AI Safety Gridworlds is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents. Developed by DeepMind, these environments are implemented in PyColab, a highly customizable gridworld game engine. The suite includes the following environments: Safe interruptibility; avoid side effects; supervisor absent; reward games; self-modification; change of distribution; robustness to adversaries; and safe exploration.

For more details on AI Safety Gridworlds, see the research paper and the GitHub repository.

DeepMind Control Suite

DeepMind’s DM Control Suite consists of physics-based simulations for reinforcement learning agents, using MuJoCo. The reinforcement learning environment consists of all the necessary components such as the “standard structure” for task control and the “rewards” that agents can deduce.

The introductory tutorial on how to use this package is available on Colab Notebook. Also check out the GitHub repository here.

DeepMind Laboratory

DeepMind Lab is a 3D learning environment based on Quake III Arena identification software via ioquake3 and other open source tools. It provides a suite of challenging 3D navigation and puzzle solving tasks for learning agents. The main purpose of the tool is to serve as a test bed for research on deep reinforcement learning.

Check out the DeepMind Lab GitHub repository here.

AWS DeepRacer

AWS DeepRacker is a 1 / 18th scale autonomous racing car designed to test reinforcement learning models while running on a physical track. It uses cameras to visualize the track and a reinforcement model to control the throttle and steering. The car shows how a model trained in a simulated environment is transferred to the real world.

The AWS DeepRacer Evo car comes with the original AWS DeepRacer car, an additional 4 megapixel camera module that forms stereo vision with the original one, a scanning LiDAR, a shell that can trigger both the camera stereo and LiDAR, and some accessories and easy-to-use tools for quick setup.

For more details on AWS DeepRacer, see its website.

SafeML

SafeML is one of the popular machine learning classifier security monitoring techniques. It addresses both safety and security within a single concept of protection applicable during the operation of ML systems, where it actively monitors the behavior and operational context of the data-driven system based on distance measurements. of the empirical cumulative distribution function (ECDF).

The idea of ​​SafeML was proposed by Koorosh Aslansefat et al. to monitor classifier decisions when there is no label available.

Discover more examples and use cases with SafeML here.

See also

Deep Q learning

TensorTrade

Tensor Trade is an open source reinforcement learning framework for training, evaluating, and deploying robust trading algorithms using reinforcement learning. It is used to create complex investment strategies which are executed in the distribution of HPC machines.

TensorTrade leverages existing tools and pipelines provided by NumPy, Pandas, Gym, Keras and Tensorflow to enable rapid experimentation with algorithmic trading strategies.

The open source code is available on GitHub.

Reagent

Developed by Facebook, ReAgent is an end-to-end open source platform for applied reinforcement learning. ReAgent uses PyTorch for modeling and training and TorchScript for serving models. It contains workflows for training popular deep reinforcement learning algorithms and includes data preprocessing, feature transformation, distributed training, counterfactual policy assessment, and optimized delivery.

Check out ReAgent’s GitHub repository here.

CleverHans

Clever Hans provides a benchmark implementation of attacks on machine learning models to help compare models to conflicting examples. The open source library is maintained by the CleverHans Lab at the University of Toronto. Its latest version supports three frameworks, including JAX, PyTorch, and TensorFlow.

More details about CleverHans can be found in GitHub.


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Amit Raja Naik

Amit Raja Naik



Amit Raja Naik is Editor-in-Chief at Analytics India Magazine, where he dives deep into the latest technological innovations. He is also a professional bass player.





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Punggol Block to Get Smart Mailbox System, Following Clementi Trial, Consumer News & Top Stories https://1cplusplusstreet.com/punggol-block-to-get-smart-mailbox-system-following-clementi-trial-consumer-news-top-stories/ https://1cplusplusstreet.com/punggol-block-to-get-smart-mailbox-system-following-clementi-trial-consumer-news-top-stories/#respond Fri, 16 Jul 2021 21:00:00 +0000 https://1cplusplusstreet.com/punggol-block-to-get-smart-mailbox-system-following-clementi-trial-consumer-news-top-stories/ Some Punggol residents will be able to enjoy more convenience when collecting their mail, with a smart mailbox system in a Housing Commission block starting next Friday. The system, known as PostPal, will allow residents of Block 226B Sumang Lane to be notified of mail delivery through a mobile app. They will also be able […]]]>


Some Punggol residents will be able to enjoy more convenience when collecting their mail, with a smart mailbox system in a Housing Commission block starting next Friday. The system, known as PostPal, will allow residents of Block 226B Sumang Lane to be notified of mail delivery through a mobile app.

They will also be able to check the number of items waiting to be collected and allow others to collect mail on their behalf.

The 96 households in the block will be the second group to test the system, which was developed by SingPost and PBA Group, a Singapore-based robotics and automation company.

Ms. Sun Xueling, MP for Punggol West and Minister of State for Education, Social and Family Development, said Ms. Sun Xueling, “As one of the youngest and most tech savvy constituencies in Singapore. , our residents shop frequently online and PostPal will be a huge asset to them, especially during this time when many still work from home. “

The trial extension to Punggol comes after PostPal’s success with two blocks at Clementi, where a one-year-old pilot started last December. More than 80% of households have subscribed to it and 20,000 postal items have been delivered through the system.

Some renovations were made to the PostPal kiosk after feedback from Clementi residents. The panel that residents had to lower to retrieve their mail has now been replaced with a flap door, making it easier to access the machine. The reader on the machine has also been improved to more easily detect QR codes on residents’ smartphones. Residents use these codes to access their mail, by scanning the code against the machine’s reader.

Yesterday, technicians were seen testing the PostPal kiosk on the empty deck of Block 226B, and flyers were placed in mailboxes for residents to register for the system. SingPost’s head of national postal and parcel services, Ms. Neo Su Yin, estimates that the adoption rate in Punggol, with its younger population, would be higher than that of Clementi.

Smart mailboxes will also help SingPost become more productive. Ms Neo said: “It is getting harder and harder to hire letter carriers, so we also want to see how to adjust the productivity gains we can get. A letter carrier can cover a much larger area because the kiosk is actually taking up. a lot of the work the postman was doing before.

PostPal has an automatic sorting function, which means the postman will only have to load all the mail into the machine, instead of having to insert items into each mailbox. Ms Neo added that SingPost, working with the Infocomm Media Development Authority, will also look at factors such as an area’s demographics and density before deciding to roll out the system in more areas.



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What happened to IBM’s Watson? https://1cplusplusstreet.com/what-happened-to-ibms-watson/ https://1cplusplusstreet.com/what-happened-to-ibms-watson/#respond Fri, 16 Jul 2021 09:00:25 +0000 https://1cplusplusstreet.com/what-happened-to-ibms-watson/ IBM insists its revised AI strategy – reduced ambition and less world-changing – is working. The task of restarting growth was given to Arvind Krishna, an IT specialist who became CEO last year, after leading the recent overhaul of IBM’s cloud and AI business. But the great visions of the past have disappeared. Today, instead […]]]>


IBM insists its revised AI strategy – reduced ambition and less world-changing – is working. The task of restarting growth was given to Arvind Krishna, an IT specialist who became CEO last year, after leading the recent overhaul of IBM’s cloud and AI business.

But the great visions of the past have disappeared. Today, instead of being a shortcut for tech prowess, Watson stands out as a sobering example of the pitfalls of tech hype and pride around AI.

It turns out that the march of artificial intelligence through the mainstream economy will be more of a step-by-step evolution than a cataclysmic revolution.

Time and time again in its 110-year history, IBM has pioneered new technologies and sold them to businesses. The company has so dominated the mainframe market that it has been the target of a federal antitrust case. PC sales really took off after IBM entered the market in 1981, making small machines essential tools in corporate offices. In the 1990s, IBM helped its traditional business customers adapt to the Internet.

IBM executives have come to see AI as the next wave to ride.

Mr Ferrucci first introduced Watson’s idea to his bosses in IBM’s research labs in 2006. He believed that building a computer to tackle a question-and-answer game might do the trick. advancing science in the field of AI known as natural language processing, in which scientists program computers. recognize and analyze words. Another research objective was to advance automated question answer techniques.

After overcoming initial skepticism, Ferrucci assembled a team of scientists – ultimately more than two dozen – who worked in the company’s lab in Yorktown Heights, NY, about 20 miles north of IBM headquarters. in Armonk.

The Watson they built was a room-sized supercomputer with thousands of processors running millions of lines of code. Its storage drives were filled with digitized reference books, Wikipedia entries, and e-books. Computational intelligence is a matter of brute force, and the massive machine required 85,000 watts of power. The human brain, on the other hand, runs on the equivalent of 20 watts.



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Water cuts and prescription footnotes – The Ukiah Daily Journal https://1cplusplusstreet.com/water-cuts-and-prescription-footnotes-the-ukiah-daily-journal/ https://1cplusplusstreet.com/water-cuts-and-prescription-footnotes-the-ukiah-daily-journal/#respond Sun, 11 Jul 2021 12:07:03 +0000 https://1cplusplusstreet.com/water-cuts-and-prescription-footnotes-the-ukiah-daily-journal/ On Thursday, July 8, Gov. Gavin Newsom urged residents across the state to voluntarily reduce their water use by 15% amid deteriorating conditions along the west coast. Surprisingly, Southern California is not yet included in the state’s drought emergency proclamation. Keep in mind that Newsom has not issued a decree requiring mandatory water cuts. This […]]]>


On Thursday, July 8, Gov. Gavin Newsom urged residents across the state to voluntarily reduce their water use by 15% amid deteriorating conditions along the west coast.

Surprisingly, Southern California is not yet included in the state’s drought emergency proclamation.

Keep in mind that Newsom has not issued a decree requiring mandatory water cuts. This is an urgent plea, however, and in my opinion, he won’t be able to wait much longer before he is forced to issue a real ordinance imposing state-wide water cuts.

Without a doubt, the governor’s dismissal date of September 14 is the main, if not the only reason for delaying what is now inevitable. Newsom is sticking to its plan to prevent any negative political fallout that is sure to occur if Californians were subjected to further hardship after enduring 15 months of lockdown orders linked to the pandemic. But he is unlikely to lose a recall election mainly because there is no nominated candidate who has a chance to replace him.

Newsom has included businesses in its call to reduce water use. According to the governor’s office, a 15% reduction in water use would save 850,000 acre-feet of water, enough to supply more than 1.7 million homes for a year.

Newsom said residents had already responded to the drought conditions and was confident they would take action again to reduce their water use.

He urged residents to limit watering outdoors, use recycled water when possible outdoors, take shorter showers and only run dishwashers and washing machines. wash only when full.

Newsom on Thursday added nine more counties to the state’s drought emergency proclamation. The ruling means that 50 of the state’s 58 counties are covered by the proclamation, or about 42% of the total population.

The only counties not covered by the proclamation are Los Angeles, Orange, Riverside, San Diego, San Bernardino, Imperial, Ventura, and San Francisco.

The US Drought Monitor this week ranked California’s drought condition as severe drought to exceptional drought, with the latter designation being the highest on a 5-point scale.

CoCo referendum notice

Last week, the County Council Office (“CoCo”) issued an opinion regarding the status of the 10% crop expansion referendum sponsored by the Small Is Beautiful Coalition, of which I am co-chair.

Here is a summary of the opinion of County Lawyer Christian Curtis.

“If a referendum petition targeting only Footnote 6 got enough signatures, there are three possible outcomes as to what a court might do. First, it is possible that a court will find that a single footnote referendum is inadmissible and decide that the petition is invalid. In this scenario, the ordinance would proceed as if the petition had never been distributed. Second, it is possible that a court may find the referendum request valid, but Article 9145 of the Election Code requires that the previous ordinance be repealed before adopting an amended version. If so, implementation of the remainder of the ordinance may be delayed for several years while the county undergoes an environmental review. Third, a court may determine that even if Footnote 6 is stayed and / or revoked, the remainder of the order remains as it was originally adopted. Of these three possibilities, I think the first is the most likely, but the absence of any direct authority on the point and significant ambiguity in this area gives me a relatively low level of certainty.

I purposely postponed reviewing CoCo legal opinions for a while because you quickly start to lose people’s interest with discussions of legal theories, precedents, etc. We exchanged precedents, relevant quotes and sayings. this bogus problem over the past three weeks. His opinion has been amended several times. We had anticipated that the county would probably try this tactic, so we were prepared for it. Yes, there is a severability clause in the ordinance and I cited that fact to rebut Curtis’ claim that the 10 percent rule is not severable. Curtis actually approved the format of the order, including the severability clause. As someone who has negotiated hundreds of major and minor collective agreements, I can tell you that we’ve always included severance clauses in every one of them, for obvious reasons: you don’t want all of them. the ABC, or in this case the ordinance, for constitutional or other legal reasons, such as a referendum.

Here is the clause:

“Article 14. Severability. – If any article, paragraph, sentence, clause, sentence or part of this Ordinance is, for whatever reason, declared invalid or unconstitutional by a decision of a competent court, this decision shall not affect not the validity of the other parts of this order. The Supervisory Board hereby declares that it would have adopted this ordinance and each section, subsection, sentence, clause and sentence thereof, regardless of whether one or more sections, sub-sections, sentences, clauses or sentences are declared invalid or unconstitutional. “

Although the clause refers to court decisions, it is important for other reasons as it establishes that the order survives intact despite the removal of any article, paragraph, sentence, clause, sentence or part of the order. A referendum is just another part of the legal process where citizens have the right to revoke parts or parts of an ordinance.

Likewise, Curtis’ argument that the 10 percent rule is too “narrow” an issue for a referendum is irrelevant. The main goal and objective of the New Ordinance is the expansion of cultivation. The only reference to the singularly major foundation for crop expansion in the ordinance is the 38-word sentence hidden under the asterisk 6 in Schedule A, a zoning table.

It is a footnote, although the most important footnote in the entire ordinance. Without this footnote, by definition, there is no expansion.

This one-sentence footnote could just as easily have been placed in its own stand-alone section of the ordinance, but it was not. Supervisors decided to make it a footnote. But that does not change the overriding importance of the sole reference throughout the ordinance to expansion.

If the courts were to accept such a distorted argument, all a supervisory board would have to do is place an unpopular provision like the 10 percent footnote expansion rule, thus preventing citizens from exercising. their constitutional referendum rights.

We are convinced that the courts will not support this type of constitutional abuse.

Jim Shields is the editor and publisher of the Mendocino County Observer, observer@pacific.net, and is also the longtime district director of the Laytonville County Water District. Listen to his radio show “This and That” every Saturday at noon on KPFN 105.1 FM, also broadcast live: http://www.kpfn.org



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Westworld season 1 ending explained https://1cplusplusstreet.com/westworld-season-1-ending-explained/ https://1cplusplusstreet.com/westworld-season-1-ending-explained/#respond Fri, 09 Jul 2021 23:39:00 +0000 https://1cplusplusstreet.com/westworld-season-1-ending-explained/ Older and more in tune with his late partner’s thinking about host sensibilities, Ford activates a series of Arnold-designed codes called “Reveries.” These allow Hosts to remove shadows of memories from their previous versions, bringing them one step closer to consciousness. Dolores suffers the worst, oscillating between the present and her memories of her time […]]]>


Older and more in tune with his late partner’s thinking about host sensibilities, Ford activates a series of Arnold-designed codes called “Reveries.” These allow Hosts to remove shadows of memories from their previous versions, bringing them one step closer to consciousness.

Dolores suffers the worst, oscillating between the present and her memories of her time with William. She comes to realize that the labyrinth that haunts her was a metaphor for her own consciousness. William is not crazy about this theory and stabs her in the stomach.

After being repaired by Ford, Dolores learns more about her past and receives the gun she used to kill Arnold 35 years ago. Ford addresses a procession of guests and investors with a speech on the importance of stories, and makes everyone excited for a whole news, right before being shot by Dolores. A swarm of retired hosts descend on the game, dragging along like the living dead, and a previously unenthusiastic William becomes frankly dizzy after being shot in the arm. What follows is uncertain, but chaos seems inevitable.

Also Shoot: There’s a host named Maeve who responds to musings by remembering that she had a daughter, and she gives up on leaving the park so she can go find her child. It will probably be important next season.



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If you are proficient in Python 101, you are probably better at programming than OpenAI’s Codex prototype • The Register https://1cplusplusstreet.com/if-you-are-proficient-in-python-101-you-are-probably-better-at-programming-than-openais-codex-prototype-the-register/ https://1cplusplusstreet.com/if-you-are-proficient-in-python-101-you-are-probably-better-at-programming-than-openais-codex-prototype-the-register/#respond Fri, 09 Jul 2021 00:38:00 +0000 https://1cplusplusstreet.com/if-you-are-proficient-in-python-101-you-are-probably-better-at-programming-than-openais-codex-prototype-the-register/ OpenAI has warned that its Codex neural network, like the one that powers GitHub Copilot’s code completion tool, is likely to generate a source that looks plausible but is incorrect, and its performance will decrease as it grows. The artificial intelligence lab revealed the shortcomings and limitations of non-production versions of its Codex model in […]]]>


OpenAI has warned that its Codex neural network, like the one that powers GitHub Copilot’s code completion tool, is likely to generate a source that looks plausible but is incorrect, and its performance will decrease as it grows.

The artificial intelligence lab revealed the shortcomings and limitations of non-production versions of its Codex model in a pre-printed document this week. It should be noted that a separate production variant of the system powers GitHub Copilot; the preliminary models discussed in the document are smaller and only trained on Python, while Copilot has been trained on more data and supports code completion for a range of programming languages.

Yet GitHub Copilot suffers from similar issues as Codex prototypes. Namely, the generated code is unlikely to be correct and useful to developers on its first attempt, and it tends to give answers that at first glance seem reasonable but may be wrong. Programmers should carefully check the auto-written code for any errors.

The Codex language model in the document has been refined on 159 GB of Python source code pulled from over 50 million public repositories on GitHub. Each Python file analyzed contained less than a thousand lines of code. To test the model’s AI pair-wise programming skills, researchers proposed 164 handwritten programming problems that examined Codex’s ability to perform functions, understand simple algorithms, and solve mathematical queries.

The most powerful version of the system with 12 billion settings was able to solve 28.8% of the problems on its first attempt. For comparison, OpenAI’s GPT-3 natural language system could not solve any of them.

However, Codex works best when it has the opportunity to generate more responses. In ten attempts, he found the correct answer 46.81 percent of the time, and in 100 attempts, that number climbs to 72.31 percent.

In other words, it’s up to the human programmers or maybe the tools to do the job of selecting the best Codex suggestion. “This result suggests that precise code samples can be selected via heuristic ranking instead of fully evaluating each sample, the latter may not be possible or practical during deployment,” the document said.

GitHub Copilot seems to work slightly better; it can generate a correct code 43% of the time on the first try and 57% of the time when allowed to perform 10 tries. If you were worried that these code completion tools could replace human programmers, don’t worry because they pose no real threat at this time and are just simple pattern-matching machines. Good for generating boilerplate code and stuff like that.

The human touch

The researchers admitted that “a strong student who completes an introductory computer science course should be able to solve a larger fraction of problems than Codex”, even if he has seen more code than a developer. professional will never see one in his life.

Codex tends to duplicate the common coding samples on which it has been trained; if you write something that looks like it will fill in the blanks with what it thinks should be fine next although the generated code is often not quite correct. If you are writing something more specialized for a particular application or more complex than most scripts, Codex won’t be as useful.

“We find that Codex may recommend syntactically incorrect or undefined code, and may invoke functions, variables and attributes that are undefined or outside the scope of the code base. In addition, Codex finds it difficult to analyze increasingly long and higher level or system level specifications, ”the document states.

This problem only gets worse as models get bigger and more powerful, the newspaper said. Codex is also as good as a programmer like you, unfortunately. If you give it prompts that contain subtle bugs, it “will tend to produce worse code than it is capable of.” This persists when the prompt also includes instructions to write the correct code. This gap increases with the size of the model, ”the researchers wrote.

They also cautioned that, like other language models, Codex can also be tricked into generating “racist, disparaging and otherwise harmful output” in the form of code comments. Gender or race biases were also observed in code structures. To prevent damage in the real world, GitHub Copilot comes with filters that automatically block offensive words so it can’t spit out toxic outputs.

It’s not all dark, don’t get me wrong. OpenAI said it wants to focus on the potential positive impacts the tool could have, such as making programmers more productive or if it can encourage them to better document their code for others to read. ®



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Bitcoin mining difficulties diminish after hashrate collapse in China https://1cplusplusstreet.com/bitcoin-mining-difficulties-diminish-after-hashrate-collapse-in-china/ https://1cplusplusstreet.com/bitcoin-mining-difficulties-diminish-after-hashrate-collapse-in-china/#respond Sat, 03 Jul 2021 07:18:43 +0000 https://1cplusplusstreet.com/bitcoin-mining-difficulties-diminish-after-hashrate-collapse-in-china/ Bitcoin mine on the edge of the Tibetan Plateau near Sichuan, China. The mine is strategically placed next to a hydraulic power generator. Getty Images It just got a lot easier and a lot more profitable to mine for bitcoin. The world has known for months that more than half of the world’s bitcoin miners […]]]>


Bitcoin mine on the edge of the Tibetan Plateau near Sichuan, China. The mine is strategically placed next to a hydraulic power generator.

Getty Images

It just got a lot easier and a lot more profitable to mine for bitcoin.

The world has known for months that more than half of the world’s bitcoin miners would go extinct as China cracked down on mining. Now that this has happened, the Bitcoin algorithm has adjusted accordingly to ensure that the productivity of miners does not continue to fall off a cliff.

The adjustment – which took effect early Saturday morning – also means more money will flow to bitcoin miners who stay online.

“It will be a party for the miners,” Bitcoin mining engineer Brandon Arvanaghi said.

“They suddenly have a much bigger slice of the pie, which means they’re making more bitcoin every day.”

Mining made easy

Fewer people mine means fewer blocks are resolved each day. Typically, it takes around 10 minutes to complete a block, but Feinstein told CNBC the bitcoin network has slowed to block times of 14-19 minutes.

This is precisely why bitcoin is re-calibrating every block of 2016, or roughly every two weeks, resetting the difficulty for miners to mine. On Saturday, the bitcoin code automatically made mining by around 28% less difficult – a historically unprecedented drop for the network – thus restoring block times to the optimal 10-minute window.

The Bitcoin algorithm is programmed to handle an increase or decrease in mining machinery, according to Mike Colyer, CEO of digital currency company Foundry. “This is a self-regulating market that doesn’t require any outside committee to figure out what to do. It’s a very powerful concept,” he said.

Learn more about cryptocurrencies from CNBC Pro

“We expect a period of much higher mining profitability for Compass Mining customers,” said Whit Gibbs, CEO and founder of Compass, a bitcoin mining service provider. “We expect miners to be around 35% more profitable.”

Blockcap’s Feinstein agrees. “We expect increased revenues and profits for the foreseeable future. This is an unexpected giveaway for the grid, not only in terms of revenue, but also in terms of decentralization and sustainable energy measures. . “

While the lower difficulty benefits all miners, those using new generation gear benefit the most.

Feinstein told CNBC that most of the equipment in China that has been turned off was old-generation equipment, which is inefficient and operates with much lower profit margins.

Six-month surge

It is difficult to predict how long the hashrate deficit will last. Barbour said it was entirely possible that Beijing could simply reverse its policy, and that could only be a short-term disruption.

Otherwise, most mining crypto experts agree that it will take six to 15 months for all that inactive and displaced mining hardware to migrate. “It’s going to take a long time for the surplus to find a home,” said Barbour.

Gibbs believes miners should see their incomes increase for at least the remainder of 2021.

“Every day, Chinese miners are looking around the world for places to turn their machines back on. Space is very limited at the moment,” Colyer said.

Part of the problem, according to Feinstein, is that even before China halted mining, there was already a lack of infrastructure to house the next-generation miners deployed monthly by Beijing-based manufacturer Bitmain.

Now that the market is inundated with an oversupply of used mining rigs, it’s hard to say how quickly countries will be able to absorb the influx of gear.

“Some mining companies built everything and were just waiting for these ASICs to connect, which would only take a few days,” Arvanaghi explained.

“Others may need to build containers, expand warehouses, or increase their electrical capacity. We won’t see the hash rate rise to what it was overnight, but we will see it pick up again in the next few months. “, he continued. .

Of all the possible destinations for this gear, the United States appears to be uniquely positioned to absorb this wandering hashrate. CNBC learns that major US mining operators are already signing agreements to repatriate some of these homeless Bitmain miners.

Bitcoin mining in the United States is booming and receiving venture capital, so they are ready to profit from the migration of miners, Arvanaghi told CNBC.

“Many US bitcoin miners who were funded when the price of bitcoin started to rise in November and December 2020 means that they were already building up their electrical capacity when the ban on mining in China came down. took effect, ”he said. “It is the right time.”

But Barbour believes much smaller players in the residential United States also have a chance of capturing these surplus miners.

“I think this is a signal that in the future bitcoin mining will be distributed more out of necessity,” Barbour said. “Fewer mega-mines like the 100+ megawatt ones we see in Texas and more small mines in small commercial and possibly residential spaces. It is much harder for a politician to shut down a mine in someone’s garage. a.”





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