Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.

Architectural Logic: Equipped with a self-developed "Distributed In-Memory Computing Engine," it supports real-time slice ...

DeepSeek has introduced Manifold-Constrained Hyper-Connections (mHC), a novel architecture that stabilizes AI training and ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

The intelligence quotient, or IQ, is a measure of intelligence. An IQ test is designed to measure a person's cognitive ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Samsung launches Exynos 2600, the world’s first 2nm smartphone chip with 10-core CPU and AMD graphics, set to power Galaxy S26.

Abstract: Recently, analog matrix inversion circuits (INV) have demonstrated significant advantages in solving matrix equations. However, solving large-scale sparse tridiagonal linear systems (TLS) ...

One of the fundamental operations in machine learning is computing the inverse of a square matrix. But not all matrices have an inverse. The most common way to check if a matrix has an inverse or not ...

As AI automates more knowledge work, the organizations that thrive will be those that master human relationships. Matrix organizations present well-known challenges: difficulty influencing across ...

OpenAI said it, too, had built a system that achieved similar results. By Cade Metz Reporting from San Francisco An artificial intelligence system built by Google DeepMind, the tech giant’s primary ...