Formula One cars generate more than 1.1 million data points every second, streaming telemetry from hundreds of sensors as ...

A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving GPU-class energy efficiency.

Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...

Data centers have long been the backbone of the global digital economy, supporting cloud computing, enterprise applications, and the vast expansion of artificial intelligence (AI). But as digital ...

The portable computing powerhouse is capable of running 120-billion-parameter LLMs, roughly three times larger than GPT-3, without needing to access the internet or the cloud.

As urban centers grapple with escalating traffic congestion and the limitations of traditional two-dimensional road networks, the concept of the split flying car has emerged as a transformative ...

All the user has to do is describe the end-product they desire, and Perplexity Computer does the rest, breaking down the ...

Confluent’s Streaming Agents use the Agent2Agent (A2A) protocol to trigger and coordinate external AI agents using real-time data streams, making it easier to connect AI systems across an enterprise.

MCT unveils upgraded MBS Pool Optimizer using CUDA GPUs to deliver real-time, large-scale execution analysis and ...

Moving compute closer to the source is no longer just an efficiency play; it’s a practical response to real operational ...

A global race to develop a competitive brain-computer interface is heating up between the United States and China.

Two Japanese firms embed quantum-inspired tech in a robot, enabling faster real-time tracking and smarter movement.