Huge savings are possible simply by changing the maths of tensor computation, says BitEnergy AI’s Hongyin Luo.

Neuromorphic or brain-like computing systems offer several advantages for artificial intelligence applications. Resistive random-access memory (RRAM), a type of emerging semiconductor technology, ...

New research indicates that businesses are no longer prioritizing computing power over efficiency when it comes to AI. Here's ...

AI engineers develop an algorithm that will replace floating-point multiplication with integer addition to make AI processing ...

You can change the $$ prefix from the settings page. To use this plugin without any prefix just check the "Include in global result" checkbox. With that option ...

Fundamental problems about multiplication — about ... It’s easy to find numbers in this sequence whose prime factors are small. For example, any power of 2 on this list (4, 16, 64, 256, 1024 …) has ...

God's faithfulness and His multiplication, His pouring out on us ... some North Carolina communities still have water or power; however, a small Western North Carolina church is still seeing ...

LLMs such as ChatGPT require a lot of computing power, which in turn means a lot of electricity ... The new technique is basic—instead of using complex floating-point multiplication (FPM), the method ...

What this paper microfluidic device adds is that it doesn’t merely contain antigens, but performs the lysis (i.e. breakdown of the virus particles), genetic material multiplication using RT-LAMP ...

Researchers at BitEnergy AI have developed a technique that could dramatically reduce AI power consumption without ... the breakthrough Linear-Complexity Multiplication or L-Mul for short.

A two-port LLLC resonant tank with an inverter at each port is used to power the load. Multiplication of output power and frequency is achieved by coordinating the operating modes of the two inverters ...