Learn how the Inception Net V1 architecture works and how to implement it from scratch using PyTorch. Perfect for deep ...

The brain’s function and integrity emerge not only from properties of individual regions, but, more fundamentally, from the intricate web of connections ...

Russian scientists have developed a tool to evaluate the effectiveness of large language models in solving chemical problems.

AI in Computer-Aided Synthesis Planning Market reached USD 2.13 bn in 2024 and is expected to grow rapidly to USD 68.06 bn by ...

The NASP platform utilises trained neural networks in the analogue domain to perform AI inference with exceptionally lower power consumption compared to conventional digital neural processors.

This valuable study uses EEG and computational modeling to investigate hemispheric oscillatory asymmetries in unilateral spatial neglect. The work benefits from rare patient data and a careful ...

Quantum computing is set to redefine data security, AI, and cloud infrastructure. This in-depth research explores how post-quantum cryptography, quantum AI acceleration, and hybrid quantum-cloud ...

The curious minds at ColdFusion explain how neural networks are transforming on-the-go computing. This matters because ...

New analogue neuromorphic processors offer microwatt edge AI POLYN Technology, a specialist in ultra-low-power neuromorphic ...

Polyn’s NASP technology and design tools give semiconductor and AI developers a new way to quickly implement neural networks directly in analogue silicon. It offers process-agnostic design across ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...