From a new AI challenger to Google search to an nearly indestructible robot hand, check out this week’s awesome tech stories from around the web.
The founders of Perelel, which sells prenatal vitamins, say charitable giving is baked into their business model. Today they’re making good on that promise.
Researchers develop a precise method for patterning gold nanoparticles on surfaces using DNA origami and electron beam lithography, enabling tunable plasmonic metasurfaces.
Discover bottom-up nanotechnology: precision construction of nanostructures for breakthroughs in medicine, electronics, and beyond.
Researchers at the University of Basel have developed a new method for calculating phase diagrams of physical systems that works similarly to ChatGPT. This artificial intelligence could even automate scientific experiments in the future.
A year and a half ago, ChatGPT was released, and ever since, there has been hardly anything that cannot be created with this new form of artificial intelligence: texts, images, videos, and even music. ChatGPT is based on so-called generative models, which, using a complex algorithm, can create something entirely new from known information.
A research team led by Professor Christoph Bruder at the University of Basel, together with colleagues at the Massachusetts Institute of Technology (MIT) in Boston, have now used a similar method to calculate phase diagrams of physical systems.
Creating robots to safely aid disaster victims is one challenge; executing flexible robot control that takes advantage of the material’s softness is another. The use of pliable soft materials to collaborate with humans and work in disaster areas has drawn much recent attention. However, controlling soft dynamics for practical applications has remained a significant challenge.
In collaboration with the University of Tokyo and Bridgestone Corporation, Kyoto University has now developed a method to control pneumatic artificial muscles, which are soft robotic actuators. Rich dynamics of these drive components can be exploited as a computational resource.
Artificial muscles control rich soft component dynamics by using them as a computational resource. (Image: MEDICAL FIG.)
Blood test detects stroke quickly:
The Testing for Identification of Markers of Stroke trial shows the accuracy of a new blood test for identifying stroke.
A team of scientists has developed a new test by combining blood-based biomarkers with a clinical score. The main goal was to identify patients experiencing large vessel occlusion (LVO) stroke.
LVO strokes, a severe form of stroke, are often characterized by a sudden onset of symptoms and significant neurological damage. They occur when an artery in the brain is blocked, depriving the brain of essential oxygen.
Our approach to analyzing and mitigating future risks posed by advanced AI models.
Google DeepMind has consistently pushed the boundaries of AI, developing models that have transformed our understanding of what’s possible. We believe that AI technology on the horizon will provide society with invaluable tools to help tackle critical global challenges, such as climate change, drug discovery, and economic productivity. At the same time, we recognize that as we continue to advance the frontier of AI capabilities, these breakthroughs may eventually come with new risks beyond those posed by present-day models.
Today, we are introducing our Frontier Safety Framework — a set of protocols for proactively identifying future AI capabilities that could cause severe harm and putting in place mechanisms to detect and mitigate them. Our Framework focuses on severe risks resulting from powerful capabilities at the model level, such as exceptional agency or sophisticated cyber capabilities. It is designed to complement our alignment research, which trains models to act in accordance with human values and societal goals, and Google’s existing suite of AI responsibility and safety practices.
Many more places with Life are likely to exist outside the so-called Habitable Zone (HZ) and they are getting more and more… New post on BigThink, direct link to it at.
Posted on Big Think.
OpenAI’s Superalignment team was promised 20% of the company’s compute resources, according to a person from that team.
A source reveals that OpenAI’s Superalignment team, which was created to develop was to control ‘superintelligent’ AI, wasn’t set up for success.