AMD and Intel have now published a full technical specification for ACE — AI Compute Extensions — the most significant overhaul to x86 AI compute in the architecture's history, co-authored by eight ...

Transformations are the key to such codes, and they rely on math that predates computing as we know it by centuries. There ...

Tensordyne says logarithmic computing could reduce AI inference costs and power demands, offering an alternative to conventional chip designs.

By using log math, Tensordyne can replace multiplications with additions, resulting in better than 10X performance and energy ...

Websites Like Cool Math Games are the topic of our blog post today! The digital landscape has reshaped how we approach education, including the teaching and learning of math. Gone are the days when ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that map math variables, instead of representing information using abstraction ...

A shard of smooth bone etched with irregular marks dating back 20,000 years puzzled archaeologists until they noticed something unique – the etchings, lines like tally marks, may have represented ...

Integrating visual arts into elementary math lessons can transform the learning experience, combining creativity with problem-solving. Arts integration can make math concepts more accessible and ...

Before Benjamin Franklin became a printer, newsman, author, inventor, philosopher, diplomat and founding father of the United States, he failed math twice. In 1715, Franklin’s money-conscious father ...

The original version of this story appeared in Quanta Magazine. Moore’s law is already pretty fast. It holds that computer chips pack in twice as many transistors every two years or so, producing ...