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The creators of the Python language are mulling a new proposal,PEP 622, that would finally bring a pattern matching statement syntax to Python. The new pattern matching statements would give Python programmers more expressive ways of handling structured data, without having to resort to workarounds. Pattern matching is a common feature of many programming languages, such as switch/case in C. It allows one of a number of possible actions to be taken based on the value of a given variable or expression.

Samsung completed the EU migration by April 2019, the China migration by October 2019, and the US migration by March 2020, all with minimal downtime. “We had some downtime but not much,” says Jung. “The important thing is that we detected problems quickly and minimized the user impact. After the migration, Samsung is fully prepared for future growth. For example, Aurora now allows Samsung to seamlessly scale up to 15 Aurora Replicas—independent endpoints in an Aurora database cluster used for scaling read operations and increasing availability—across the availability zones in each region.

The laboratory, founded by Elon Musk and recently supported by a $1 billion grant from Microsoft, has designed text generators that create readable passages virtually indistinguishable from those written by humans. OpenAI’s machine learning approach scrapes massive amounts of data from the web and analyzes it for statistical patterns that allow it to realistically predict what letters or words will likely be written next. When users feed a word or phrase or longer text snippets into the generator, it expands on the words with convincingly humanlike text.

No one can say whether androids will dream of electric sheep, but they will almost certainly need periods of rest that offer benefits similar to those that sleep provides to living brains, according to new research from Los Alamos National Laboratory. Watkins and her research team found that the network simulations became unstable after continuous periods of unsupervised learning. When they exposed the networks to states that are analogous to the waves that living brains experience during sleep, stability was restored.

Many data scientists claim that around80% of their time is spent on data preprocessing, and for good reasons, as collecting, annotating, and formatting data are crucial tasks in machine learning. This article will help you understand the importance of these tasks, as well as learn methods and tips from other researchers. Below, we will highlight academic papers from reputable universities and research teams on various training data topics. The topics include the importance of human annotators, how to create large datasets in a relatively short time, ways to securely handle training data that may include private information, and more.

In the week of April 12-18, the top 10 search terms on Amazon.com were: toilet paper, face mask, hand sanitizer, paper towels, Lysol spray, Clorox wipes, mask, Lysol, masks for germ protection, and N95 mask. People weren’t just searching, they were buying too—and in bulk. The majority of people looking for masks ended up buying the new Amazon #1 Best Seller, “Face Mask, Pack of 50”. When covid-19 hit, we started buying things we’d never bought before.

NASA recently launched the Commercial Lunar Payload Services (CLPS) initiative whose aim is to find the best future payloads to deliver to the surface of the moon. These payloads would include instruments for basic science investigations. Shown here, a Lockheed Martin space concept for a commercial lunar lander. As we probe deeper into the innermost workings of the universe, our particle physics experiments have become ever more complex. In order to reveal the secrets of the tiniest subatomic particles, physicists must make colliders and detectors as cold as possible, remove as much air as possible, and keep them as still as possible to get reliable results.

IBM will no longer offer general purpose facial recognition or analysis software, IBM CEO Arvind Krishna said in a letter to Congress today. The company will also no longer develop or research the technology, IBM tells The Verge. Krishna addressed the letter to Sens. Cory Booker (D-NJ) and Kamala Harris (D-CA) and Reps. Karen Bass (D-CA), Hakeem Jeffries (D-NY), and Jerrold Nadler (D-NY). Facial recognition software has improved greatly over the last decade thanks to advances in artificial intelligence.

The new stealth U.S. Air Force B-21 bomber has taken yet another key technological step toward being ready for war, through integrated computer automation designed to streamline information, improve targeting and offer pilots organized warzone information in real-time. Air Force and Northrop Grumman developers recently completedan essential software-empowered process intended to bring greater levels of information processing, data management and new measures of computerized autonomy,according to published statements from Air Force Acquisition Executive Dr.

At re:Invent 2019, AWSsharedthe fastest training times on the cloud for two popular machine learning (ML) models: BERT (natural language processing) and Mask-RCNN (object detection). To train BERT in 1 hour, we efficiently scaled out to 2,048 NVIDIA V100 GPUs by improving the underlying infrastructure, network, and ML framework. Today, we’re open-sourcing the optimized training codefor ALBERT (A Lite BERT), a powerful BERT-based language modelthat achieves state-of-the-art performanceon industry benchmarks while training 1.