News
6h
AZoLifeSciences on MSNTumor Recurrence Prediction from Multi-Omics Information by Deep LearningMULGONET combines deep learning and multi-omics analysis to predict tumor recurrence, addressing interpretability and ...
IEEE-Published Study Improves Recommendation Accuracy With Knowledge Graphs and Contrastive Learning
An IEEE study introduces a new recommendation model that combines knowledge graphs and contrastive learning to solve cold-start and sparse data ...
Glycolysis is an ancient metabolic activity. It consists of a set of reactions that convert glucose into energy. This central ...
The AI-powered predictive policing system, focusing on mobile theft, chain snatching and vehicle theft, was found to have a ...
It has accompanied life since its origin, from single cells to complex organisms like mammals. Scientists have extensively studied the role of metabolism in individual cells to understand how it ...
The Hangzhou Internet Court recently found a Chinese AI platform liable for contributory copyright infringement, after the platform allowed users ...
9h
The Business & Financial Times on MSNChief Procurement Officers need a seat in the boardroom for corporate strategic successBy Alvin Albert Okoe MINGLEAs the world of corporate governance evolves, so must our perspectives regarding Procurement governance.The role of Chief Procurement Officers (CPO’s) has long transcended ...
We will show that when the database has a hierarchical structure, there is a natural extension of the h-index that works on ...
OpenAI is rolling out a pair of new artificial intelligence models that mimic the process of human reasoning to field more ...
Microsoft researchers have developed — and released — a hyper-efficient AI model that can run on CPUs, including Apple's M2.
33m
Tech Xplore on MSNNew data-driven method eliminates redundant computations, can streamline processes like scheduling trainsWhen some commuter trains arrive at the end of the line, they must travel to a switching platform to be turned around so they ...
“To truly evaluate and solve A.I.’s black-box paradox, we need to understand it on a psychological and architectural level—how it perceives, decides and why,” Hidenori Tanaka, PAI’s group leader, told ...
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