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

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 ...

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 ...

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 ...

Jason Fernando is a professional investor and writer who enjoys tackling and communicating complex business and financial problems. Khadija Khartit is a strategy, investment, and funding expert, and ...

Why it matters: Linear algebra underpins machine learning, enabling efficient data representation, transformation, and optimization for algorithms like regression, PCA, and neural networks. Python ...

How machine intelligence changes the rules of business by Marco Iansiti and Karim R. Lakhani In 2019, just five years after the Ant Financial Services Group was launched, the number of consumers using ...

The top frontier labs are now making big moves in coding and math with their new releases. Google DeepMind has introduced the ...