Researchers have long been interested in how humans and animals make decisions by focusing on trial-and-error behavior ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

The TinyML Foundation’s work, along with that of Silicon Labs, helps users explore new use-cases and challenges that embedded ...

Renesas Electronics announced the RA8P1, an AI-accelerated microcontroller designed for AIoT (Artificial Intelligence of ...

Group targeted at Artificial Intelligence (AI) and Machine Learning (ML) applications, as well as real-time analytics.

As a technical discipline, the field of AI began in the mid-20th century. In 1950, British mathematician Alan Turing proposed ...

A new discovery of how bees use their flight movements to facilitate remarkably accurate learning and recognition of complex ...

To transition from LLMs to AGI, we need to overcome several major limitations and introduce fundamentally new capabilities ...

Cracking the code to becoming an AI genius isn't about shortcuts—it’s a marathon of mathematical rigor, deep learning mastery ...

Mitigating risk: AI’s ability to analyze vast datasets allows for smarter risk detection, such as identifying unusual property access patterns. This data-driven insight empowers property managers to ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity may help explain how ...