Physicist David Shih used a Rubik’s Cube to inspire artificial intelligence research aimed at simplifying complex equations.
Current AGI research focuses heavily on scaling these foundation models and enhancing specific agent capabilities, such as complex reasoning and coding. However, despite this progress, even the most ...
A new tool that uses machine learning for drug discovery predicts how molecules will influence gene expression.
ISO/PAS 8800, focused on safety of AI applications in road vehicles, can also serve engineers in medical, industrial, rail, ...
Anthropic Claude Code is leading a shift away from manual code, favoring agentic AI. Agentic AI demands more CPU computing power, which fits Arm's strength. Arm just saw data center royalty revenue ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...
Today, the plastics industry stands at the threshold of a technological revolution, with artificial intelligence and machine learning poised to transform everything from material development to ...
The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side. There should ...
The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...