Why did machine learning and deep learning start being used? Data volume and model expressive power

Recently, I explained why machine learning exists and it was well-received, so I decided to write about it on note as well.In ...
Analytics Insight

Data Science Careers in 2026, Which Roles are Growing and Which are Hardest to Break Into

Overview Data scientist jobs are projected to grow 34% between 2024 and 2034, according to the US Bureau of Labor ...
Analytics Insight

Top 10 Machine Learning Platforms for Developers

Overview Machine learning platforms support model development, training, testing, deployment, and performance ...
Cyclingnews on MSN

PhD chemistry and three types of sand – Inside the CeramicSpeed chain lubricant test labs

No standard testing exists for chain lubricants. We visit CeramicSpeed to see how they formulate their drivetrain products ...
Tech Times on MSN

JNS publishes Nov 11 paper establishing AI brain models predict well but cannot explain brains

AI brain models explanation: a Journal of Neuroscience debate published Nov 11 formally establishes that high prediction accuracy in AI brain encoding models cannot distinguish competing mechanistic ...

DuPont Announces Collaboration with Microsoft and NobleAI to Accelerate R&D Innovation with AI

DuPont (NYSE: DD) today announced a collaboration with Microsoft and NobleAI to expand access to advanced AI tools and resources, including machine learning that helps its scientists and engineers ...
quantumzeitgeist

A shallow quantum circuit achieves a learning advantage, study shows

New research demonstrates a learning advantage using Shallow Quantum Circuits, addressing a core challenge in near-term quantum computing.
Unite.AI

Meta’s Faiss 1.16.0 Adds E-Means for Faster Large-Scale Clustering

Meta’s Faiss maintainers released version 1.16.0 on November 10, 2026, packaging FAIR at Meta’s e-means clustering algorithm with CPU, GPU and distributed implementations. The researchers report ...