Overview of what GitHub Copilot is, what it does, how it works, and whether programmers should be worried about their jobs now…
Over the past few decades, roboticists have created increasingly advanced and sophisticated robotics systems. While some of these systems are highly efficient and achieved remarkable results, they still perform far poorly than humans on several tasks, including those that involve grasping and manipulating objects.
Researchers from Guangdong University of Technology, Politecnico di Milano, University of Sussex and Bristol Robotics Laboratory (BRL) at University of the West of England have recently developed a model that could help to improve robot manipulation. This model, presented in a paper published in IEEE Transactions on Industrial Informatics, draws inspiration from how humans adapt their manipulation strategies based on the task they are trying to complete.
“Humans have the remarkable ability to deal with physical contact and complete dynamic tasks, such as curving, cutting and assembly, optimally and compliantly,” Professor Chenguang Yang, the corresponding author for the paper working at BRL, told TechXplore. “Although these tasks are easy for humans, they are quite challenging for robots to perform, even advanced ones.”
Americans are taking their time finding work. The longer they wait, the more it will kickstart the age of automation. Restaurants are leading the way.
Back in May, China became just the third nation to land on the surface of Mars as it touched down with its Tianwen-1 probe. Packed aboard was the country’s first interplanetary rover, named Zhurong, which can be seen and heard making its very movements on the Red Planet in newly released recordings.
China’s Tianwen-1 mission set off for Mars last July and came to land on a plain in the planet’s northern hemisphere called Utopia Planitia following a 10-month journey. The Zhurong rover remained aboard the lander module for around a week surveying its surroundings and checking its instruments, before rolling down to the dusty surface to begin its explorations.
Continue reading “China shares sights and sounds of its rover’s first moves on Mars” »
Amazon announced Thursday that it plans to develop new technology for its autonomous delivery vehicles in Helsinki, Finland.
The Seattle-headquartered tech giant said in a blog post that it is setting up a new “Development Center” to support Amazon Scout, which is a fully electric autonomous delivery robot that is being tested in four U.S. locations.
Two dozen engineers will be based at the Amazon Scout Development Center in Helsinki initially, the company said, adding that they will be focused on research and development.
Autonomous rollers and growing workforce of construction robots work on Chinese infrastructure for new Futuristic City.
Major infrastructure projects increasingly feature a workforce of construction robots, including autonomous rollers that can navigate construction sites.
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.
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.
Continue reading “Dell’s versatile UltraSharp 4K webcam uses AI to keep you in the frame” »
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.
