Microsoft didn’t release a major new version of Windows in 2025, but it did deliver a lot of significant updates. Here's my ...

There is no doubt what took centre stage in the theatre of business applications in 25: agentic AI, surpassing pre-2022 AI, ...

Discover how Apple Inc. and Carnegie Steel Co. leveraged backward integration to control supply chains and enhance efficiency ...

SAN FRANCISCO – EraDrive, a Stanford University spinoff developing software and hardware for satellite autonomy, raised $5.3 million in an oversubscribed seed round, the startup announced Dec. 16.

When historians look back at the PC industry in 2025, they’ll probably remember a time of intense turmoil. Between wildly unpredictable tariffs, geopolitical strife, the AI boom, hardware shortages ...

Nvidia is quietly positioning itself at the center of quantum computing by linking today’s fastest AI GPUs with early quantum processors through its new NVQLink and CUDA-Q systems. This hybrid ...

BRISTOL, TN / ACCESS Newswire / October 30, 2025 / VisionWave Holdings, Inc (NASDAQ:VWAV) is adding infrastructure integration capabilities that could multiply the value of its hardware. The company's ...

Trump administration considers potential escalation in China trade war Measure could restrict shipments to China of goods containing or made with U.S. software Plan would retaliate against China's ...

One of the neat things about modern AI is that a whole new generation of people in a field outside of economics (but certainly driving the modern economy) has been introduced to curves showing the ...

Elon Musk has set out an expansive brief for “Macrohard”, a platform initiative incubated within xAI that he says will span software and steer hardware ecosystems through partners, much like Apple. In ...

Quantum computing is gaining momentum as the next frontier of artificial intelligence (AI) development. Alphabet has a unique ecosystem spanning hardware, software, and research geared toward quantum ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.