Artificial intelligence systems, such as large language models (LLMs) and convolutional neural networks (CNNs), can analyze ...

Matrix multiplication is one of the most basic algebraic operations. Since Strassen's surprising breakthrough algorithm from 1969, which showed that matrices can be multiplied faster than the most ...

The cover shows an artistic impression of a matrix multiplication tensor — a 3D array of numbers — in the process of being solved by deep learning. Efficient matrix multiplication algorithms can help ...

ACE is deployed via the x86 Ecosystem Advisory Group (EAG) to ensure the same code runs consistently and without ...

New chip unveiled: A team created a molybdenum disulfide-based neuromorphic chip with a signal-folding scheme to run AI algorithms with high efficiency. Energy savings boost: The design cuts power use ...

Enabling on-device inference with up to 2 billion (2B) parameters, accelerating expansion into ultra-low-power edge AI ...

Good afternoon, everyone, and welcome to IonQ's First Quarter 2026 Earnings Call. My name is Hanley Donofrio, and I am the Investor Relations Director here at IonQ. I'm pleased to be joined on today's ...

Just like each person has unique fingerprints, every CMOS chip has a distinctive “fingerprint” caused by tiny, random ...

The first major fruits of the x86 Ecosystem Advisory Group (EAG) have come in the form of ACE, a new set of matrix ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

Speaking at WSJ Opinion Live in Washington, D.C., WSJ Editorial Page Editor Paul Gigot and SandboxAQ CEO Jack Hidary discuss Large Quantitative Models (LQMs) and their role in AI applications, the ...

A close-up of Keanu Reeves as Neo looking to the distance with sunglasses on in The Matrix. Image via Warner Bros. 1999’s The Matrix was a landmark in cinema, establishing an exciting new filmmaking ...