Light-Speed AI: MIT’s Ultrafast Photonic Processor Delivers Extreme Efficiency
A new photonic chip designed by MIT scientists performs all deep neural network computations optically, achieving tasks in ...
The Brighterside of News on MSN9d
Optical deep neural networks are revolutionizing AI computation
Modern artificial intelligence systems rely on deep neural networks (DNNs) that demand immense computational resources.
Cantech Letter8d
Which companies use Neural Networks?
In the technology sector, neural networks are at the heart of advancements made by companies like Google, Microsoft, and IBM.
Impacts14h
Mst. Zannatun Ferdus: Leading Innovation in Artificial Intelligence, Macnhine Learning, Neural Network, GAN, RL ad Cloud Computing
In today’s rapidly advancing technological world, professionals like Mst. Zannatun Ferdus are at the forefront of shaping the ...
Analytics Insight10d
Quantum AI: Algorithm and Applications
Advancements in computing are transforming industries and unlocking new potential. This white paper explores Quantum AI, ...
John Hopfield and Geoffrey Hinton win Nobel physics award
Physicists John Hopfield and Geoffrey Hinton have been awarded the 2024 Nobel Prize in physics. They were honored for their ...
unite2d
Optimizing Neural Radiance Fields (NeRF) for Real-Time 3D Rendering in E-Commerce Platforms
The e-commerce industry has seen remarkable progress over the last decade, with 3D rendering technologies revolutionizing how ...
MIT spinoff raises $250 million in largest AI deal of the year in Massachusetts
LiquidAI is developing generative AI apps that work without connecting to cloud computers, which could save energy and better ...
EurekAlert!1mon
Advanced terahertz neural network unveiled at City University of Hong Kong
It can efficiently handle complex tasks like handwriting recognition and multi-user distinction, offering potential applications ... ideal candidate for artificial neural networks, addressing ...
Cambridge University Press1mon
BSO algorithm and artificial neural network aided emission optimisation for gas turbine engine
For this purpose, a model based on artificial neural networks (ANN) based on the back-tracking search optimisation (BSO) algorithm is proposed by using experimentally obtained emission values found in ...
Scientific Research Publishing16d
General Decay Synchronization of Competitive Fuzzy Neural Networks Involving Time Delays and Right-Hand Discontinuous Activation ()
This paper discusses the general decay synchronization problem for a class of fuzzy competitive neural networks with time-varying delays and discontinuous activation fun ...