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.
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.
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 nanowires 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.
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.
An IDF Intelligence Corps senior officer was quoted by Jerusalem Post as saying. “For the first time, artificial intelligence was a key component and power multiplier in fighting the enemy. This is a first-of-its-kind campaign for the IDF. We implemented new methods of operation and used technological developments that were a force multiplier for the entire IDF.”
In this video Defense Updates analyzes why Israel’s claim that it is the first to use AI and supercomputing in a war holds true?
You are on PRO Robotics and in this video we present you with some high-tech news. Thought-reading helmet, Boston Dynamics news, robots for exploring other planets, micro robots, robot avatars, and other high-tech news in one episode. Watch the video to the end and write in the comments. which news interested you most?
0:00 In this video. 0:20 Avatar robots for warehouse logistics. 1:25 Boston Dynamics news. 1:53 SpaceBok robot learned to turn around by moving its legs in flight. 2:30 Cassie Blue’s robot learned to walk at night. 2:47 A mind-reading helmet. 4:10 Octocopter Racing. 5:03 Auve Tech’s hydrogen-powered unmanned shuttle. 5:30 Millimeter-sized robots. 6:12 Autonomous security robot. 6:45 IBM sent its autonomous “Mayflower” trimaran on a long voyage. 7:40 Boeing’s MQ-25 T1 drone. 7:59 DARPA demonstrated the operation of its C-UAS counter-unmanned aerial system. 8:22 The Chinese ship “Shenzhou-12″ successfully delivered three astronauts. 8:52 NASA showed a rocket to take astronauts to the moon Space Launch System. 9:38 Cameras with Artificial Intelligence.
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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.
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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An outstanding idea, because for one there has been a video/ TV show/ movie, etc… showing every conceivable action a human can do; and secondly the AI could watch all of these at super high speeds.
Predicting what someone is about to do next based on their body language comes naturally to humans but not so for computers. When we meet another person, they might greet us with a hello, handshake, or even a fist bump. We may not know which gesture will be used, but we can read the situation and respond appropriately.
In a new study, Columbia Engineering researchers unveil a computer vision technique for giving machines a more intuitive sense for what will happen next by leveraging higher-level associations between people, animals, and objects.
“Our algorithm is a step toward machines being able to make better predictions about human behavior, and thus better coordinate their actions with ours,” said Carl Vondrick, assistant professor of computer science at Columbia, who directed the study, which was presented at the International Conference on Computer Vision and Pattern Recognition on June 24, 2021. “Our results open a number of possibilities for human-robot collaboration, autonomous vehicles, and assistive technology.”
Part of the problem mirrors the rise of automation in any other industry — performers told Input that they’re nervous that game studios might try to replace them with sophisticated algorithms in order to save a few bucks. But the game modder’s decision also raises questions about the agency that performers have over their own voices, as well as the artistry involved in bringing characters to life.
“If this is true, this is just heartbreaking,” video game voice actor Jay Britton tweeted about the mod. “Yes, AI might be able to replace things but should it? We literally get to decide. Replacing actors with AI is not only a legal minefield but an utterly soulless choice.”
“Why not remove all human creativity from games and use AI…” he added.
Sanofi will apply Google’s artificial intelligence (AI) and cloud computing capabilities toward developing new drugs, through a collaboration whose value was not disclosed.
The companies said they have agreed to create a virtual Innovation Lab to “radically” transform how future medicines and health services are developed and delivered.
Sanofi has articulated three goals for the collaboration with Google: better understand patients and diseases, increase Sanofi’s operational efficiency, and improve the experience of Sanofi patients and customers.
