Use precise geolocation data and actively scan device characteristics for identification. This is done to store and access ...

This multi-modal approach has revealed how the brain adapts during learning through experience and observation. "What makes these findings particularly exciting is their clinical potential," explains ...

Finding mates or food in the presence of turbulence is challenging because odors constantly switch on and off unpredictably. As a result, it is unclear whether animals couple odor to other sources of ...

This valuable study combines experiments and theory to investigate the putative role of spontaneous correlated activity in establishing aligned topographic maps of neural activity in higher-order ...

Researchers sought to recapture the sensory experiences of prehistoric ... "Artists produced sounds they felt were suitable, for example, they used archaic vocal techniques, archaic instruments ...

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of ...

Multi-stage cyber attacks, characterized by their complex execution chains, are designed to avoid detection and trick victims into a false sense of security. Knowing how they operate is the first step ...

Some films are just classics. No matter how often we watch them, they provide pure comfort and a sense of everything being right in the world. Now, imagine you could indulge in your favourite film in ...