Continuing our look at the work of the IOWN project, we find out what use cases the next evolved generation of the infrastructure will support and which firms are likely to gain.

Artificial intelligence is colliding with a hard physical limit: the energy and heat of conventional chips. As models scale ...

Abstract: Magnetic hyperthermia therapy (MHT) is an emerging noninvasive treatment for liver cancer that depends on accurate digital liver reconstruction. However, the limited availability of ...

Organoid Intelligence (OI) represents a groundbreaking convergence of biology and technology, aiming to redefine biocomputing using brain organoids—three-dimensional neural structures derived from ...

To prevent jitter between frames, Kuta explains that D-ID uses cross-frame attention and motion-latent smoothing, techniques that maintain expression continuity across time. Developers can even ...

GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...

Rather than thinking that adolescence ends at 18, groundbreaking brain research has shown that critical brain developmental changes continue until the early thirties.

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Abstract: Evolutionary neural architecture search (ENAS) is an approach to automating network architecture design. A primary challenge of ENAS is the demand for expensive computational resources, and ...

Diffusion generative models have demonstrated remarkable success in visual domains such as image and video generation. They have also recently emerged as a promising approach in robotics, especially ...