World-renowned science author Yuval Noah Harari said that someday human brains could be hacked into if emerging AI systems are not properly regulated.
World-renowned science author Yuval Noah Harari said that someday human brains could be hacked into if emerging AI systems are not properly regulated.
Physicists have created a modem for the quantum internet of the future, giving powerful quantum computers a way to share information.
For people with motor impairments or physical disabilities, completing daily tasks and house chores can be incredibly challenging. Recent advancements in robotics, such as brain-controlled robotic limbs, have the potential to significantly improve their quality of life.
Researchers at Hebei University of Technology and other institutes in China have developed an innovative system for controlling robotic arms that is based on augmented reality (AR) and a brain-computer interface. This system, presented in a paper published in the Journal of Neural Engineering, could enable the development of bionic or prosthetic arms that are easier for users to control.
“In recent years, with the development of robotic arms, brain science and information decoding technology, brain-controlled robotic arms have attained increasing achievements,” Zhiguo Luo, one of the researchers who carried out the study, told TechXplore. “However, disadvantages like poor flexibility restrict their widespread application. We aim to promote the lightweight and practicality of brain-controlled robotic arms.”
Solar panel companies turn to silicon because it is efficient and lasts a long time. A single panel lasts for at least 25 years, providing more than 80% of its initial power.
Despite the benefits, crystalline silicon is difficult to produce, which slows down the solar panel manufacturing process. In the past year, the cost of silicon has skyrocketed, up to a 300% increase, and the U.S. banned imports from China (due to a violation of international standards on child labor) — making it the second most abundant element on the planet an actual scarcity.
Alternative semiconductors: Some companies are ditching silicon for, a cheaper alternative. If they can commercialize low-cost films, the solar industry would change dramatically.
Critical RCE Vulnerability Reported in Linux Kernel’s Transparent Inter Process Communication (TIPC) module.
Cybersecurity researchers have disclosed a security flaw in the Linux Kernel’s Transparent Inter Process Communication (TIPC) module that could potentially be leveraged both locally as well as remotely to execute arbitrary code within the kernel and take control of vulnerable machines.
Microsoft is launching a new AI language tool for business users. The Azure OpenAI Service will give vetted customers access to OpenAI’s GPT-3 — a powerful and problematic AI language model.
Neuroscientists find the internal workings of next-word prediction models resemble those of language-processing centers in the brain.
In the past few years, artificial intelligence models of language have become very good at certain tasks. Most notably, they excel at predicting the next word in a string of text; this technology helps search engines and texting apps predict the next word you are going to type.
The most recent generation of predictive language models also appears to learn something about the underlying meaning of language. These models can not only predict the word that comes next, but also perform tasks that seem to require some degree of genuine understanding, such as question answering, document summarization, and story completion.
Last year DeepMind’s breakthrough AI system AlphaFold2 was recognised as a solution to the 50-year-old grand challenge of protein folding, capable of predicting the 3D structure of a protein directly from its amino acid sequence to atomic-level accuracy. This has been a watershed moment for computational and AI methods for biology.
Last year Building on this advance, today, I’m thrilled to announce the creation of a new Alphabet company – Isomorphic Labs – a commercial venture with the mission to reimagine the entire drug discovery process from the ground up with an AI-first approach and, ultimately, to model and understand some of the fundamental mechanisms of life.
For over a decade DeepMind has been in the vanguard of advancing the state-of-the-art in AI, often using games as a proving ground for developing general purpose learning systems, like AlphaGo, our program that beat the world champion at the complex game of Go. We are at an exciting moment in history now where these techniques and methods are becoming powerful and sophisticated enough to be applied to real-world problems including scientific discovery itself. One of the most important applications of AI that I can think of is in the field of biological and medical research, and it is an area I have been passionate about addressing for many years. Now the time is right to push this forward at pace, and with the dedicated focus and resources that Isomorphic Labs will bring.
