A recent publication from IMDEA Materials Institute and the Technical University of Madrid (UPM) presents a major step ...
A human infant is born with roughly twice as many synapses as it will eventually need. Over the first few years of life, the ...
When Zaharia started work on Spark around 2010, analyzing "big data" generally meant using MapReduce, the Java-based ...
We live in an ever-evolving world, powered by advancements across STEM fields. Today, STEM has become increasingly intertwined with how we live our daily lives–from how we learn, to how we work, to ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
This study applies machine learning (ML) techniques to address this hardware limitation by determining the feasibility of reducing a high-dimensional 17-sensor network to a “minimal-optimal” subset ...
In an exclusive interview, the AI pioneer shares his plans for his new Paris-based company, AMI Labs. Yann LeCun is a Turing Award recipient and a top AI researcher, but he has long been a contrarian ...
Immune effector cell–associated hematotoxicity (ICAHT) is a major cause of nonrelapse mortality after chimeric antigen receptor (CAR) T-cell therapy. We hypothesized that unsupervised time-series ...
Hypoxemia is the most common complication of sedated gastrointestinal endoscopy and can lead to serious consequences. Predicting and preventing hypoxemia remains challenging. Accurate prediction using ...
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
Factoring out nucleotide-level mutation biases from antibody language models dramatically improves prediction of functional mutation effects while reducing computational cost by orders of magnitude.