SLMs targeted at specific workloads could change the relationship between edge devices and the cloud, creating new opportunities for chipmakers, EDA companies, and IP vendors.

Wearable devices can read health data and use less battery. See how a new system helps tiny processors work longer and ...

In the future, a new type of computer may be able to learn much like you do—by experience rather than endless repetition or ...

Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...

Overview Kaggle projects provide real-world experience in AI and machine learning.Participants gain practical skills in NLP, computer vision, and predictive mod ...

Abstract: Transfer learning is a set of techniques to apply skills or knowledge from a source task to a target task that is different but related, while Hybrid Quantum-Classical Transfer Learning ...

Researchers from The University of Osaka's Institute of Scientific and Industrial Research (SANKEN) have successfully ...

Researchers reveal that preterm babies' brains respond to rhythmic sounds, indicating early rhythm processing crucial for ...

We consume nearly 400 million pounds of cranberries annually—but how they’re harvested might surprise you. Cranberry bogs are ...

We're learning more about a man killed by a wrong-way driver on the Katy Freeway. He's part of a family that's all too ...

Could computers ever learn more like humans do, without relying on artificial intelligence (AI) systems that must undergo ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...