Nvidia is trading at around 32.6 times forward earnings. Analysts have projected 5-year forward P/E multiple of 23.5x for ...

Discover how neuromorphic computing mimics the brain to power efficient, adaptive AI for robotics, healthcare, IoT, and ...

With AI workloads rising and grid delays mounting, the examples of Siemens-Eaton and Compu Dynamics illustrate a modular ...

As blockchain technology moves from speculative hype to practical infrastructure, a new class of projects is emerging—focused ...

Parallelism is the preferred tool for expediting an algorithm, as demonstrated by the evolution of computing architectures (multi-core and many-core) towards a greater number of processing cores. The ...

Running on massively parallel ... parallel programming model, and the time-domain solver for high-fidelity modeling of EM wave propagation for powering midfield medical devices in human body. All the ...

Innatera’s Pulsar blends analog and digital SNN accelerators to deliver always-on neural-network operation for low-power ...

The CN5000 platform from Intel spinout Cornelis Networks is engineered to tackle compute underutilization and alleviate ...

However, analysts note that the real-world impact of such models will require validation beyond initial benchmark results.

Data centers and cloud computing need multi-core and multi-socket scalability. And while the basic building blocks can be ...

Open-source distributed OLAP database and powerful SaaS counterpart shine with plug-in indexes, signature tunable star-tree ...

Technical decisions that advance inference capabilities can help deliver the promise of ubiquitous, accessible AI.