A brain-computer interface developed by UC Davis Health accurately translates brain signals into speech. The device implanted in the brain of a man with ALS is the most accurate system of its kind.
Tag: Machine learning (ML)
$4.9-Million NSF Award Funds Major Enhancement to Bridges-2 System
$4.9 million from the NSF has funded an upgrade to PSC’s flagship Bridges-2 supercomputer. The grant has allowed the center to add late-model powerful NVIDIA H100 GPUs to the system, further enhancing its ability to support research in and requiring artificial intelligence, particularly in the context of massive data and high-performance computing.
From flat to overflowing: adding another dimension to tissue analysis
A team of NIBIB-funded researchers recently developed an AI platform that can analyze 3D pathology images to predict disease outcomes. Their method had improved performance in predicting prostate cancer outcomes when compared with traditional pathology approaches, such as analysis by expert pathologists using 2D images.
Using AI to scrutinize, validate theories on animal evolution
By harnessing the power of machine learning, researchers have constructed a framework for analyzing what factors most significantly contribute to a species’ genetic diversity.
Wren Laboratories Unveils Dynamic Executive Leadership Team and 2024 Commercial Strategy Overhaul
Wren Laboratories announced executive leadership for commercial operations and market expansion. Dr. Abdel Halim is appointed CEO and CSO. Troy Tremaine Appointed to CCO, Dr. Eva Szarek Head of Marketing, and Melissa Ferone director of quality. Expansion includes AI-driven mRNA liquid biopsy genomic assays for biopharma and diagnostics.
Advanced AI-Based Techniques Scale-up Solving Complex Combinatorial Optimization Problems
A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a study led by engineers at the University of California San Diego. In the paper, which was published May 30 in Nature Machine Intelligence, researchers present HypOp, a framework that uses unsupervised learning and hypergraph neural networks.
Researchers use machine learning to detect defects in manufacturing
The algorithm was able to correctly identify hundreds of defects in real physical parts that have not previously been seen by the deep learning model.
Using artificial intelligence to speed up and improve the most computationally-intensive aspects of plasma physics in fusion
Researchers at the Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL) are using artificial intelligence to perfect the design of the vessels surrounding the super-hot plasma, optimize heating methods and maintain stable control of the reaction for increasingly long periods.
UIowa finance expert says AI will only slowly affect hiring on Wall Street
While artificial intelligence will eventually change the way business is done on Wall Street, a finance expert from the University of Iowa’s Tippie College of Business doesn’t expect to see significant changes in hiring for junior bankers right away.
NSF boosts SMU engineer’s AI learning research
The National Science Foundation (NSF) has awarded SMU engineering professor Digvijay Boob a five-year CAREER grant to pioneer quicker, streamlined solutions that could speed up how AI learns from data to make predictions and decisions.