Researchers from Baidu Research and the University of Maryland have developed a robotic excavator system that integrates perception, planning, and control capabilities to enable material loading over a long duration with no human intervention.
Category: robotics/AI
David Rolnick
Posted in climatology, robotics/AI, sustainability
It costs $199.99 and includes a monitor and tripod mount.
Dell has launched a high-end UltraSharp webcam that costs $199.99 and is available now worldwide. Its cylindrical design is reminiscent of Apple’s old but iconic iSight external webcam, but its features are aimed to compete with Logitech’s Brio and other modern 4K-ready webcams. In addition, it aims to serve as a more affordable and easier-to-set up alternative to mounting a DSLR camera behind your monitor.
The UltraSharp is a USB-C webcam that houses a Sony STARVIS CMOS 8.3-megapixel sensor. It’s capable of recording or streaming in 4K at 30 or 24 frames per second and in 1080p or 720p at 24, 30, or 60 frames per second. You can tweak the field of view (FOV) between 65 degrees for a close crop, 78 degrees, or 90 degrees for the widest crop available. The webcam has a bevy of auto-light correction features that aim to make your picture look good regardless of your lighting. It supports up to 5x digital zoom and has autofocus. Dell claims the UltraSharp offers the best image quality in its class.
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.
A new WHO reports lays out ethical principles for AI in medicine, but applying them won’t be easy.
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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