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 ...

Ripping out battle-tested infrastructure and starting from scratch – as some emerging protocols propose – is the slowest path ...

Explore how quantum sensors are revolutionizing scientific measurement. Learn about superposition, entanglement, and ...

AI didn’t just automate coding — it made software unserviceable, accountability fuzzy and risk-scalable, while boards pretend ...

AI/ML are driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge ...

The bottleneck in enterprise AI isn't compute power or talent – it's the ability to understand what autonomous systems are ...

AI: How does this technological revolution fit with the pharmaceutical regulators who oversee the pharmaceutical sector at ...

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 ...

Backed by Qualcomm Ventures, AMD Ventures, and Porsche SE, AI semiconductor startup Ethernovia raised more than $90 million ...

In healthcare IT, low-code is a strategic accelerator when applied intentionally through the low-code by design framework.

In the narrative of Industry 4.0, the cloud has long been the protagonist. It promised infinite storage, massive computing power, and the ability to aggregate d ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method that aligns memristor hardware's noisy updates with neural network training, ...