Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...
Researchers have developed an AI system that learns about the world via videos and demonstrates a notion of “surprise” when ...
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
IBASE Technology Inc. (TPEx: 8050), a leading provider of rugged embedded and AI computing platforms, today launches the ...
Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...
Some efforts to slash energy costs focus on using renewable sources, or on slimming down the AI models themselves. But ...
Abstract: Delay-tolerant networking (DTN) is a computer network architecture that aims to address technical issues in networks that may not have continuous connectivity. DTNs are designed to operate ...
Abstract: The Information Centric Network (ICN) concept gave rise to the Named Data Network (NDN), a content-centric computer network architecture. Vehicular ad-hoc Networks (VANETs), characterized by ...
Today, we are unveiling the next Fairwater site of Azure AI datacenters in Atlanta, Georgia. This purpose-built datacenter is connected to our first Fairwater site in Wisconsin, prior generations of ...
Connectivity has evolved through successive architectural envelopes, each dissolving silos and expanding how systems communicate, compute and coordinate. From circuit-switched telephony to ...