Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...
Anthropic, a Generative AI company, introduced a new solution that would seem to put many enterprise software vendors at risk ...
Ripping out battle-tested infrastructure and starting from scratch – as some emerging protocols propose – is the slowest path ...
Fundamental has built a new foundation model to solve an old problem: how to draw insights from the huge quantities of ...
The author of 'Crossing the Chasm' and 'Into the Tornado' offers a candid commentary on AI adoption trends as 2026 becomes a ...
AI didn’t just automate coding — it made software unserviceable, accountability fuzzy and risk-scalable, while boards pretend ...
AI: How does this technological revolution fit with the pharmaceutical regulators who oversee the pharmaceutical sector at ...
The Latest Release Moves Beyond Traditional Interfaces to Deliver Unprecedented Transparency, Speed, and Human-Centric AI Interaction ...
Artificial intelligence is transforming defense - AI expands the attack surface in unprecedented ways. Models can be ...
Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...
A new technical paper titled “Towards Safe Autonomous Driving: A Real-Time Motion Planning Algorithm on Embedded Hardware” was published by researchers at TU Munich. Abstract “Ensuring the functional ...
The bottleneck in enterprise AI isn't compute power or talent – it's the ability to understand what autonomous systems are ...
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