Did they get GitHub Copilot to write it?
Category: robotics/AI – Page 1,497
The maker of the world’s largest chip has made a major AI breakthrough
Cerebras Systems, maker of the world’s largest processor, has broken the record for the most complex AI model trained using a single device.
Using one CS-2 system, powered by the company’s wafer-sized chip (WSE-2), Cerebras is now able to train AI models with up to 20 billion parameters thanks to new optimizations at the software level.
The firm says the breakthrough will resolve one of the most frustrating problems for AI engineers: the need to partition large-scale models across thousands of GPUs. The result is an opportunity to drastically cut the time it takes to develop and train new models.
When Botnets Attack
By Chuck Brooks
Our Growing Digital Connected World — Made For Botnets
There are dire implications of having devices and networks so digitally interconnected when it comes to bot nets. Especially when you have unpatched vulnerabilities in networks. The past decade has recorded many botnet cyber-attacks. Many who are involved in cybersecurity will recall the massive and high profile Mirai botnet DDoS attack in 2016. Mirai was an IoT botnet made up of hundreds of thousands of compromised IoT devices, It targeted Dyn—a domain name system (DNS) provider for many well-known internet platforms in a distributed denial-of-service (DDoS) attack. That DDoS attack sent millions of bytes of traffic to a single server to cause the system to shut down. The Dyn attacks leveraged Internet of Things devices and some of the attacks were launched by common devices like digital routers, webcams and video recorders infected with malware.
Silence for Thought: Special Interneuron Networks in the Human Brain
Summary: Human cortical networks have evolved a novel neural network that relies on abundant connections between inhibitory interneurons.
Source: Max Planck Institute.
The analysis of the human brain is a central goal of neuroscience. However, for methodological reasons, research has largely focused on model organisms, in particular the mouse.
Robotic Armband Shows Promise for Advanced Dexterity
AZoRobotics speaks with Dr. Erik Enegberg from Florida Atlantic University about his research into a wearable soft robotic armband. This could be a life-changing device for prosthetic hands users who have long-desired advances in dexterity.
Typing on a keyboard, pressing buttons on a remote control, or braiding a child’s hair has remained elusive for prosthetic hand users. How does the loss of tactile sensations impact limb-absent people’s lives?
Losing the sensation of touch has a profound impact on people’s lives. Some of the things that may seem simple and a part of everyday life, such as stroking the fur of a pet or the skin of a loved one, are a meaningful and fundamental way to connect with those around us for others. For example, a patient with a bilateral amputation has previously expressed concerns that he might hurt his granddaughter by accidentally squeezing her hand too tightly as he has lost tactile sensation.
Researchers claim China’s new ‘brain-scale’ AI rivals the human brain
Scientists in China say they have been able to run an artificial intelligence model as sophisticated as a human brain on their most powerful supercomputer, a report from the South China Morning Pos t reveals.
According to the report, this puts China’s Newest Generation Sunway supercomputer on the same level as the U.S. Department of Energy’s Frontier, which was named the world’s most powerful supercomputer earlier this month.
As a point of reference, Frontier is the first machine to have demonstrated it can perform more than one quintillion calculations per second.
Github’s AI-Powered Copilot Can Make Developers’ Job Way Easier
Microsoft-owned GitHub is launching its Copilot AI tool today, which helps suggest lines of code to developers inside their code editor. GitHub originally teamed up with OpenAI last year to launch a preview of Copilot, and it’s generally available to all developers today. Priced at US$10 per month or US$100 a year, GitHub Copilot is capable of suggesting the next line of code as developers type in an integrated development environment (IDE) like Visual Studio Code, Neovim, and JetBrains IDEs. Copilot can suggest complete methods and complex algorithms alongside boilerplate code and assistance with unit testing. More than 1.2 million developers signed up to use the GitHub Copilot preview over the past 12 months, and it will remain a free tool for verified students and maintainers of popular open-source projects. In files where it’s enabled, GitHub says nearly 40 percent of code is now being written by Copilot.
“Over the past year, we’ve continued to iterate and test workflows to help drive the ‘magic’ of Copilot,” Ryan J. Salva, VP of product at GitHub, told TechCrunch via email. “We not only used the preview to learn how people use GitHub Copilot but also to scale the service safely.”
“We specifically designed GitHub Copilot as an editor extension to make sure nothing gets in the way of what you’re doing,” GitHub CEO Thomas Dohmke says in a blog post(Opens in a new window). “GitHub Copilot distills the collective knowledge of the world’s developers into an editor extension that suggests code in real-time, to help you stay focused on what matters most: building great software.”