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Microsoft and OpenAI have a new A.I. tool that will give coding suggestions to software developers

Microsoft is looking to simplify the process of programming, the area where the company got its start in 1975. That could keep programmers who already use the company’s tools satisfied and also attract new ones.

The system, called GitHub Copilot, draws on source code uploaded to code-sharing service GitHub, which Microsoft acquired in 2018, as well as other websites. Microsoft and GitHub developed it with help from OpenAI, an AI research start-up that Microsoft backed in 2019.

Researchers at Microsoft and other institutions have been trying to teach computers to write code for decades. The concept has yet to go mainstream, at times because programs to write programs have not been versatile enough. The GitHub Copilot effort is a notable attempt in the field, relying as it does on a large volume of code in many programming languages and vast Azure cloud computing power.

GitHub and OpenAI launch a new AI tool that generates its own code

It can assist coders by generating and autocompleting code for their projects.


GitHub and OpenAI have launched a technical preview of a new AI tool called Copilot, which lives inside the Visual Studio Code editor and autocompletes code snippets.

Copilot does more than just parrot back code it’s seen before, according to GitHub. It instead analyzes the code you’ve already written and generates new matching code, including specific functions that were previously called. Examples on the project’s website include automatically writing the code to import tweets, draw a scatterplot, or grab a Goodreads rating.

It works best with Python, JavaScript, TypeScript, Ruby, and Go, according to a blog post from GitHub CEO Nat Friedman.

New AI Can Make Actors Look Like They’re Speaking Any Language

A new AI dubbing technology syncs actors’ mouths with recorded dialogue to make the experience of watching a movie in an unknown language less jarring.

The challenge: If you want to watch a movie in a language you don’t understand, you have two choices: you can either read subtitles, which can be distracting, or you can watch a dubbed version of the film.

During the dubbing process, voice actors who do speak your language record all of the film’s dialogue in a sound booth. The original dialogue is then replaced with that audio.

‘Edge of chaos’ opens pathway to artificial intelligence discoveries

Scientists at the University of Sydney and Japan’s National Institute for Material Science (NIMS) have discovered that an artificial network of nanowires can be tuned to respond in a brain-like way when electrically stimulated.

The international team, led by Joel Hochstetter with Professor Zdenka Kuncic and Professor Tomonobu Nakayama, found that by keeping the network of in a brain-like state “at the edge of chaos”, it performed tasks at an optimal level.

This, they say, suggests the underlying nature of neural intelligence is physical, and their discovery opens an exciting avenue for the development of artificial intelligence.

Israel Defense Forces (IDF) have claimed the world’s first use of AI & supercomputing in war!

I doubt they were the first to use artificial intelligence in war. But it does discuss the AI technologies used in the recent conflict.

They used AI technology to identify targets for air strikes, specifically to counter the extensive tunnel network of their opponents.


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The Israel Defense Forces (IDF) have claimed the world’s first use of artificial intelligence (AI) and supercomputing in its recent conflict with Hamas.

IDF said it relied heavily on machine learning and data gathering for a period of over two years during its operation Guardian of the Walls.

The future starts with Industrial AI

Generational shifts in the workforce are creating a loss of operational expertise. Veteran workers with years of institutional knowledge are retiring, replaced by younger employees fresh out of school, taught on technologies and concepts that don’t match the reality of many organizations’ workflows and systems. This dilemma is fueling the need for automated knowledge sharing and intelligence-rich applications that can close the skills gap.

Industrial organizations are accumulating massive volumes of data but deriving business value from only a small slice of it. Transient repositories like data lakes often become opaque and unstructured data swamps. Organizations are switching their focus from mass data accumulation to strategic industrial data management, homing in on data integration, mobility, and accessibility—with the goal of using AI-enabled technologies to unlock value hidden in these unoptimized and underutilized sets of industrial data. The rise of the digital executive (chief technology officer, chief data officer, and chief information officer) as a driver of industrial digital transformation has been a key influence on this trend.

Meet Amazon’s robots

According to recent Occupational Safety and Health Administration data, workers at Amazon fulfillment centers were seriously injured about twice as often as employees in other warehouses. To improve workplace safety, Amazon has been increasing its investment in robotic helpers to reduce injuries among its employees. With access granted for the first time ever, “Sunday Morning” correspondent David Pogue visited the company’s secret technology facility near Seattle to observe some of the most advanced warehouse robots yet developed, and to experience how high-tech tools are being used to aid human workers.

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