Microsoft made over 100 product and service announcements last week. Those related to its Azure ecosystem were the most interesting.
The Golden Arches wants to use ML to automate and improve end-to-end interactions with customers.
The claimed world’s fastest artificial intelligent supercomputer has just launched, named Perlmutter after astrophysicist Saul Perlmutter, at the National Energy Research Scientific Computing Center (NERSC) in California with a challenging first task
Elevate your enterprise data technology and strategy at Transform 2021. One of the biggest highlights of Build, Microsoft’s annual software development conference, was the presentation of a tool that uses deep learning to generate source code for office applications.
Researchers from North Carolina State University have developed a new state-of-the-art method for controlling how artificial intelligence (AI) systems create images. The work has applications for fields from autonomous robotics to AI training.
Firefighting is a race against time. Exactly how much time? For firefighters, that part is often unclear. Building fires can turn from bad to deadly in an instant, and the warning signs are frequently difficult to discern amid the mayhem of an inferno.
Machine learning is the process by which computers adapt their responses without human intervention. This form of artificial intelligence (AI) is now common in everyday tools such as virtual assistants and is being developed for use in areas from medicine to agriculture.
In the modern day, our interactions with voice-based devices and services continue to increase. In this light, researchers at Tokyo Institute of Technology and RIKEN, Japan, have performed a meta-synthesis to understand how we perceive and interact with the voice (and the body) of various machines.
Machine learning, when used in climate science builds an actual understanding of the climate system, according to a study published in the journal Chaos by Manuel Santos Gutiérrez and Valerio Lucarini, University of Reading, UK, Mickäel Chekroun, the Weizmann Institute, Israel and Michael Ghil, Ecole Normale Supérieure, Paris, France.
Energy communities will play a key role in building the more decentralized, less carbon intensive, and fairer energy systems of the future. Such communities enable local prosumers (consumers with own generation and storage) to generate, store and trade energy with each other—using locally owned assets, such as wind turbines, rooftop solar panels and batteries.
Recruiting top-tier engineers is more than just putting up a job description. Data can help identify and hire great candidates.
Researchers at Universidad Carlos III de Madrid (UC3M) have developed an intelligent system for estimating a vehicle's dynamic behavior and improving its stability. This will help to optimize the performance of skid and rollover control systems in cars, as well as to prevent potential traffic accidents.
A new report shows that in the face of unprecedented demand, chip manufacturers are increasing the price of wafers, leading to exceptional revenues across the industry.
Researchers from the University of Bristol have demonstrated how a new special type of camera can build a pictorial map of where it has been and use this map to know where it currently is, something that will be incredibly useful in the development of smart sensors, driverless cars and robotics.
Most computer systems are designed to store and manipulate information, such as documents, images, audio files and other data. While conventional computers are programmed to perform specific operations on structured data, emerging neuro-inspired systems can learn to solve tasks more adaptively, without having to be engineered to carry out a set type of operations.
South Korea's Naver claims it trained a Korean language model that is potentially larger than OpenAI's GPT-3.
Most of us benefit every day from the fact computers can now "understand" us when we speak or write. Yet few of us have paused to consider the potentially damaging ways this same technology may be shaping our culture.
Using the visual cortex as a model in the human brain, the research group led by ERC-award-winner Thomas Pock has developed new mathematical models and algorithms as the basis for faster and more intelligent image processing programs.