machine learning

MicroAI announced that it integrated its MicroAI AtomML technology with the Renesas RA Microcontroller (MCU) line. The result is delivering machine learning to MCUs and, for the first time, the ability to train ML models directly in an…

It's certainly not the first (or the last) company to take on chip development. Now, Facebook has joined the party, alongside companies like Google and Amazon, to create its own chips. According to a report by The Information, Facebook…

Researchers at KAUST discovered a way to significantly increase the speed of training. Large machine learning models can be trained much faster by observing how frequently zero results are produced in distributed machine learning using…

118 elements are categorized in the periodic table that we all studied in school. Each element is described with a one- or two-letter abbreviation, the number of protons that are in the element’s nucleus shown as the atomic number. The…

Novel materials development depends heavily on the availability of fast and accurate simulation methods. Machine learning is on its way to enabling researchers to innovate complex material systems in a completely virtual environment. The…

OEMs are gearing up to add voice interface to their brands, according to expert analysis by SAR Insight & Consulting.

A recent, albeit small study found that people who were touched by a humanoid robot when conversing with it reported a better emotional state and were likely to comply with a request from the robot. Laura Hoffmann of Ruhr University Bochum,…

AI-based applications are hitting the market rapidly and another one is gaining ground. Research answering the question, “Can we partner with artificial intelligence and machine learning tools to build a more equitable workforce?”…

Behind the scenes of social networking apps are machine learning models that classify nodes based on the data they contain about users including education, location, or political affiliation. The models use these classifications to…

GLOBALFOUNDRIES (GF) and Cadence Design Systems, have announced a collaboration to facilitate design for manufacturing (DFM) signoff with machine learning (ML) prediction capabilities.