For decades, cybersecurity relied heavily on signature-based detection and static rule systems. These tools were effective ...

This change is characterized by the convergence of high-performance computing (HPC) and AI workloads, which is driving ...

Parallel Learning raised a $20M Series B funding round. The round was led by Valspring Capital, with additional capital ...

Unlike other industries, healthcare generates not only numerical and categorical data but also large volumes of unstructured ...

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

These three forces—intelligence, elasticity, and connection—are converging into a new operating model for marketing. AI is ...

TPUv7 offers a viable alternative to the GPU-centric AI stack has already arrived — one with real implications for the economics and architecture of frontier-scale training.

Verification engineers tackling complex SoCs and FPGA designs can now simulate, debug, and optimize with greater speed and confidence, discover how its high-performance engines, broad language support ...

MicroCloud Hologram Inc. , ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction technology ...

This is where Collective Adaptive Intelligence (CAI) comes in. CAI is a form of collective intelligence in which the ...

Nous Research's open-source Nomos 1 AI model scored 87/120 on the notoriously difficult Putnam math competition, ranking ...

The trend toward the software-defined vehicle is undisputed. But how fast will this development unfold? The answer may ...