Researchers have developed an AI image generator that produces images in just four steps, rather than dozens.

Edge AI is moving onto devices to cut costs and improve response times, shifting IoT systems toward local processing.

Focusing on AI Edge Computing and Embedded Systems to Power Applications Avalue Technology (TPEx: 3479.TWO) will participate in the Japan IT Week 2026 exhibition, which will take place from April 8 to ...

Hammerspace Inc., an eight-year-old startup that provides high-speed access to distributed data, has introduced an artificial ...

Institutional portfolio adjustments surrounding Oracle draw attention within enterprise software discussions. Cloud ...

Modern proteomics experiments—particularly those using high-throughput mass spectrometry—generate terabytes of raw spectral data. Managing this data locally can place substantial strain on laboratory ...

Nvidia Corp. today announced blueprints for artificial intelligence training data generation to enable massive-scale processing and generation of data for the AI models needed to drive the next ...

Kepler Communications announced the commissioning of distributed on-orbit computing across its Tranche 1 optical data relay constellation, the world’s first commercially operational optical data relay ...

SpaceX’s expanding Starlink constellation, now cleared by regulators for thousands of additional satellites, is drawing attention from researchers and entrepreneurs who see the infrastructure as a ...

Record quarterly revenue connected with accelerating demand for artificial intelligence network capacity; New optical networking hardware designed for hyperscale data ...

Partnerships with Nvidia, Microsoft, AWS, and Geoforce show how AT&T is positioning fibre, edge infrastructure, and enterprise connectivity to support AI workloads from cloud to edge.