An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...

Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.

Abstract: In decentralized machine learning over a network of workers, each worker updates its local model as a weighted average of its local model and all models received from its neighbors.

With claims of up to twice the energy efficiency of Nvidia's best options, South Korea-based FuriosaAI's RNGD platform could ...

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

The key idea behind our framework is that life produces molecules with purpose, while nonliving chemistry does not. Cells ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

While ChatGPT, Gemini, and other generative AI products have their uses, some companies are going overboard. Beyond issues like hallucinations or AI screwing up — like deleting an entire code database ...

Abstract: During a typical cyber-attack lifecycle, several key phases are involved, including footprinting and reconnaissance, scanning, exploitation, and covering tracks. The successful delivery of a ...

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 ...