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"

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1 year ago

Google’s new AI algorithm reduces memory 6x and increases speed 8x

https://arstechnica.com/ai/2026/03/google-says-new-turboquant-compression-can-lower-ai-memory-usage-without-sacrificing-quality/ submitted by /u/pheonis2 [link] [comments]

13 hours ago

AI/ML Research

LlamaAgents Builder: From Prompt to Deployed AI Agent in Minutes

Creating an AI agent for tasks like analyzing and processing documents autonomously used to require…

13 hours ago

FAANG

To Infinity and Beyond: Tool-Use Unlocks Length Generalization in State Space Models

State Space Models (SSMs) have become the leading alternative to Transformers for sequence modeling. Their…

13 hours ago

FAANG

How to build production-ready AI agents with Google-managed MCP servers

As developers build AI agents with more sophisticated reasoning systems, they require higher-quality fuel–in the…

13 hours ago

AI/ML News

AI Research Is Getting Harder to Separate From Geopolitics

A policy change announced by NeurIPS, the world’s leading AI research conference, drew widespread backlash…

14 hours ago

AI/ML News

Brain-inspired AI hardware helps autonomous devices operate efficiently and independently

The human brain constantly makes decisions. It requires minimal power to move bodies in a…

14 hours ago

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

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