PagePeek introduces an AI-powered framework for evaluating leisure and tourism research, integrating semantic, behavioral, and sustainability ...

Tesla has started to release its (Supervised) Full Self-Driving (FSD) v14 update, its first significant update in a year, to customers. Here are the full release notes: In late 2024, Tesla began ...

In 1994, a strange, pixelated machine came to life on a computer screen. It read a string of instructions, copied them, and built a clone of itself — just as the Hungarian-American Polymath John von ...

The university doubled down on artificial intelligence by introducing an AI science bachelor’s degree, and a new AI emphasis for a computing doctorate.

VIEW 2025 in Turin (Oct 12–17) offers Light and All Access tickets. Full price ~€387.84. Don’t skip a day in Turin, and try the famous brah-tramezzini (sandwiches).

With increase in the applications of autonomous systems, in both civilian and military domains, it has become increasingly important to provide formal ...

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

The early beta version 0.1 of Grokipedia will be available in two weeks. This was announced on October 5 by American entrepreneur and billionaire Elon Musk on the social network X (ex. Twitter).The ...

Abstract: With the rapid development of unmanned aerial vehicle (UAV) technology, infrared image-based object detection has garnered significant attention for applications in complex environments.

Graph database provider Neo4j Inc. today announced that it will invest $100 million to accelerate its role as what it calls the “default knowledge layer” for agentic systems and generative artificial ...

Trying to document how single brain cells participate in networks that govern behavior is a daunting task. A newly developed brain probe, called Neuropixels Ultra, overcomes some key technical ...

Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...