AI

The MIT School of Engineering announced the MIT-Pillar AI Collective, a one-year pilot program funded by a gift from Pillar VC. The program will provide seed grants for projects in artificial intelligence, machine learning, and data science…

Researchers at the Flatiron Institute trained a machine learning tool to capture the physics of electrons moving on a lattice using far fewer equations and without sacrificing accuracy. The physicists compressed a daunting quantum…

I love it when researchers exhibit a sense of humor. This news piece made me laugh. Duke University researchers created an encryption method based on patterns created by bacteria growing in a petri dish. The encryption above reads, "Be Sure…

Deep convolutional neural networks (DCNNs) don’t observe objects as humans do. A York University collaborative study published in the Cell Press journal iScience claims that deep learning models fail to capture the configural nature of…

Researchers from the McKelvey School of Engineering at Washington University just developed a machine learning algorithm that creates a continuous 3D model of cells from a partial set of 2D images taken with standard microscopy tools found…

AI is becoming more popular than ever, particularly during the pandemic. According to International Data Corporation (IDC), worldwide spending on AI will increase from $50.1 billion in 2020 to more than $110 billion by 2024. Businesses…

Training a machine-learning model to perform a task requires thousands, millions, or even billions of examples. These vast datasets are a privacy challenge. Researchers from MIT and MIT startup DynamoFL are using federated learning to make…

Micron announced it is investing $15 billion through the end of the decade in constructing a new fab for leading-edge memory manufacturing in Boise, Idaho—representing the first new memory manufacturing fab to be built in the U.S. in 20…

The current electronics industry demand touches nearly all sectors. This surge goes beyond the effects of COVID and is driven by the reality that our world is becoming more digital across all applications. For electronics manufacturers…

MIT developed a device that uses a neural network to discern the presence and severity of one of the fastest-growing neurological diseases in the world—Parkinson’s. It is the second-most common neurological disorder after Alzheimer's…