Ariel Procaccia is the Alfred and Rebecca Lin Professor of Computer Science at the Harvard John A. Paulson School of ...
Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...
This is where Collective Adaptive Intelligence (CAI) comes in. CAI is a form of collective intelligence in which the ...
GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...
Neel Somani, a researcher specializing in mathematics, computer science, and business, has long explored the intersection between computational efficiency and human well-being. His work reflects an ...
Funded through a $2.1 million National Science Foundation (NSF) grant, IceCore will replace UVM's six-year-old DeepGreen GPU ...
ZoomInfo reports that 95% of enterprise AI projects fail to deliver ROI due to inadequate data infrastructure. Successful ...
The production of too many useful things results in too many useless people.” That was Karl Marx, but it could as easily have ...
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'Periodic table' for AI methods aims to drive innovation
Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, ...
This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
You’ve heard of qubits, now get ready for p-bits! These units form the building blocks of probabilistic computers that can solve certain problems more efficiently than traditional computers. A team of ...
In early 2025, Google launched Gemini 2.0, an AI co-scientist designed to act as a virtual collaborator for biomedical ...
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