Categories: AI/ML News

New training technique opens the door to neural networks that require much less energy

AI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our brains. They are trained with vast quantities of data on high-performance computers, gobbling up massive amounts of energy in the process.

Optical neural networks hold promise for image processing

Cornell researchers have developed an optical neural network (ONN) that can filter relevant information from a scene before the visual image is detected by a camera, a method that may make it possible to build faster, smaller and more energy-efficient image sensors.

April 28, 2023

In "AI/ML News"

Researchers explore how to bring larger neural networks closer to the energy efficiency of biological brains

The more lottery tickets you buy, the higher your chances of winning, but spending more than you win is obviously not a wise strategy. Something similar happens in AI powered by deep learning: we know that the larger a neural network is (i.e., the more parameters it has), the better…

November 20, 2024

In "AI/ML News"

Programming light propagation creates highly efficient neural networks

Current artificial intelligence models utilize billions of trainable parameters to achieve challenging tasks. However, this large number of parameters comes with a hefty cost. Training and deploying these huge models require immense memory space and computing capability that can only be provided by hangar-sized data centers in processes that consume…

January 26, 2024

In "AI/ML News"

AI Generated Robotic Content

Next Judge Ends One Man’s 11-Year Quest to Recover $765 Million in Bitcoin by Digging Up a Landfill »

Previous « Empowering retailers with AI for commerce, marketing, supply chains, and more

Published by

AI Generated Robotic Content

2 years ago

REFACTOR-VLA: Unsupervised Library Learning of Typed Motor Programs

Most current vision-language-action (VLA) models—such as OpenVLA, π0, RT-2, and RDT-1B—are “monolithic.” This means they…

8 hours ago

FAANG

Accessing OpenAI models on Amazon Bedrock from Australia with global cross-Region inference

Australian teams working with OpenAI models can now access the latest OpenAI models through Amazon…

8 hours ago

FAANG

Getting started with Mantis, our open-source bug finding-and-fixing harness

AI models have clearly proven their ability to discover and exploit vulnerabilities without much, if…

8 hours ago

AI/ML News

Meta Pushes Its New AI Agent on Employees—but Eases Off on Tokenmaxxing

The company is reducing pressure on workers to use artificial intelligence tools while encouraging them…

9 hours ago

AI/ML News

Why did your robotaxi stop? New system helps predict self-driving car mistakes

Self-driving cars are often controlled by deep learning models that sometimes fail in unexpected situations.…

9 hours ago

FAANG

Introducing Claude Fable 5.1 on AWS

Today, we’re excited to announce the availability of Claude Fable 5.1 on Amazon Bedrock and…

1 day ago

New training technique opens the door to neural networks that require much less energy

Recent Posts