The new supercomputer is expected to be one of the most powerful AI supercomputers in the world. Its goal is to accelerate research and innovation in various fields such as healthcare, life sciences, and the green transition.

As a microservice, it lets users for the first time build and test in the cloud new quantum algorithms and applications — including powerful simulators and tools for hybrid quantum-classical programming.

Wayve unveils LINGO-2, the first vision-language-action model tested on public roads. LINGO-2 generates both driving behavior and textual predictions from the same deep learning model, providing a continuous commentary of its driving decisions.

Four-legged, dog-inspired quadruped robots are generally more agile than their hulking bipedal counterparts, but they have mostly failed to match the fluid grace and athleticism of their furry canine inspirations. Now, a new wall-scaling robot is pushing the boundary of what these quadrupeds are capable of, and it’s doing so with a bit of flair.

Startups and tech giants are trying to move from chatbots that offer help via text, to AI agents that can get stuff done. Recent demos include an AI coder called Devin and agents that play videogames.

...designed for autonomous planning and execution of intricate software engineering tasks... These AI agents can perform diverse operations on a codebase, including file editing, retrieval, build processes, execution, testing, and git operations.

...have developed a machine learning strategy that has shown the potential to predict cases of early-stage lung or liver cancers in humans, by detecting repetitive genetic sequences in the genome in cancerous tissue, as well as in cell-free DNA (cfDNA). The team suggests that the new method could provide a noninvasive means of detecting and characterizing cancers, or monitoring response to anticancer therapy.

With our advances in long-term reasoning and planning, Devin can plan and execute complex engineering tasks requiring thousands of decisions. Devin can recall relevant context at every step, learn over time, and fix mistakes.

The framework combines dimension reduction techniques and a new explainable clustering algorithm called CLASSIX… enables the quick identification of groups of viral genomes that might present a risk in the future from huge volumes of data.

8 November 2024 - RFM-1…is basically a large language model (LLM), but for robot language.