GPUs are very important for AI workloads, but it's also important to consider the underlying hardware and ensure that it's ...

Bibek Bhattarai details Intel's AMX, highlighting its role in accelerating deep learning on CPUs. He explains how AMX ...

The global automotive AI market is projected to grow from USD 18.83 billion in 2025 to USD 38.45 billion by 2030, at a CAGR ...

Explore trends in ADAS and autonomous driving, deep learning, and AI shaping the future of mobility through 2030.

This article examines five key hardware strategies for building energy-efficient AI acceleration: dedicated accelerator ...

Swaminathan Sethuraman, a data engineer, bridges AI theory and practice with research on continuous learning and neural ...

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social stability threat due to their structural diversity, rapid iteration, and stronger ...

Decoding cosmic evolution depends on accurately predicting the complex chemical reactions in the harsh environment of space. Traditional methods for ...

When you listen to quantum enthusiasts, you may feel tempted to treat QML as an emerging silver bullet, which it isn’t.

Discover the top 10 universities for Data Science & AI based on QS rankings. Explore MIT, Oxford, NTU, and more with a ...

Accurate and efficient traffic speed prediction is crucial for improving road safety and efficiency. With the emerging deep ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend ...