Japan...is building a quantum supercomputer...The new project is called ABCI-Q & will be entirely powered by NVIDIA's accelerated & quantum computing platforms...will be built in collaboration with Fujitsu as well.
Powered by deep-learning algorithms, artificial intelligence systems could replace agents such as chemicals currently used to augment medical scans.
New research suggests chatbots could combat much of the damage caused by people going down rabbit holes…Large language models are good at dissuading conspiracy-theory believers because they’re armed with facts and a semblance of patience that most humans don’t possess.
Some stealthy cancers remain undetected until they have spread from their source to distant organs. Now scientists have developed an artificial intelligence (AI) tool that outperforms pathologists at identifying the origins of metastatic cancer cells that circulate in the body. The proof-of-concept model could help doctors to improve the diagnosis and treatment of late-stage cancer, and extend people’s lives.
LLMs...increase in capabilities, researchers have been increasingly interested in their ability to exploit cybersecurity vulnerabilities....we show that LLM agents can autonomously exploit one-day vulnerabilities in real-world systems. When given the CVE description, GPT-4 is capable of exploiting 87% of these vulnerabilities compared to 0% for every other model we test (GPT-3.5, open-source LLMs) and open-source vulnerability scanners (ZAP and Metasploit).
Research harnesses power of generative artificial intelligence in latest sign of its potential use in medicine
(the full report is in the next link after the chart from this summary article)
https://aiindex.stanford.edu/report
Soccer players have to master a range of dynamic skills, from turning and kicking to chasing a ball. How could robots do the same? ⚽
We trained our AI agents to demonstrate a range of agile behaviors using reinforcement learning.
Here’s how. 🧵 https://t.co/RFBxLG6SMn pic.twitter.com/4B4S2YiVLh
— Google DeepMind (@GoogleDeepMind) April 11, 2024
https://platform.twitter.com/widgets.js
https://venturebeat.com/ai/googles-new-technique-gives-llms-infinite-context
…yet to find any strikingly novel compounds in the GNoME and Stable Structure listings, although we anticipate that there must be some among the 384,870 compositions. We also note that, while many of the new compositions are trivial adaptations of known materials, the computational approach delivers credible overall compositions, which gives us confidence that the underlying approach is sound.
11 April 2024 - But a new generation of scientists and inventors believes that the previously missing ingredient of AI can give robots the ability to learn new skills and adapt to new environments faster than ever before…Thanks to cheap hardware like Stretch, along with efforts to collect and share data and advances in generative AI, robots are getting more competent and helpful faster than ever before. “We’re at a point where we’re very close to getting capability that is really going to be useful,”
The Synthetic Memories project is helping families around the world reclaim a past that was never caught on camera.