Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...

In a major advancement for AI model evaluation, the Institute of Artificial Intelligence of China Telecom (TeleAI) has ...

The researchers developed a non-invasive visual edge module capable of automatically gathering physiological data from ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision programs.

Shuguang Wang (City University of Hong Kong), Qian Zhou (City University of Hong Kong), Kui Wu (University of Victoria), Jinghuai Deng (City University of Hong Kong), Dapeng Wu (City University of ...

Surprisingly, employees opted into the internal platform organically — and quickly. Within months, usage jumped from zero to ...

Left-shifting DFT, scalable tests from manufacturing to the field, enabling system-level tests for in-field debug.

These breach case studies reveal cybercriminals are messy, conflicted and recruiting openly. Understanding their motives is ...

As organizations scale from co-pilots to fully autonomous digital colleagues, the challenge is building smarter operating ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

That’s where Nilsen is today. He is currently the CEO and Chairman of Tepcomp—company with factories in Finland and Estonia.