Scientific American

AI-designed experiments run by robots hint at a new approach to biology

Researchers at OpenAI and Ginkgo Bioworks showed that an AI model working with an autonomous lab can design and iterate real ...
IEEE

Physical Synthesis Optimization Prediction Using Machine Learning

Abstract: Early availability of estimated values of critical Power-Performance-Area [PPA] parameters which are known only after end of EDA tool run, can be of immense value in accelerating design ...
Kalkine Media

Oracle (NYSE:ORCL) Expands AI-Driven Data Systems In NYSE Composite

Oracle Corporation (NYSE:ORCL) operates as a major enterprise technology provider delivering database software, cloud infrastructure, and enterprise applications used by organizations across ...
Tech Xplore

The AI that taught itself: How AI can learn what it never knew

For years, the guiding assumption of artificial intelligence has been simple: an AI is only as good as the data it has seen. Feed it more, train it longer, and it performs better. Feed it less, and it ...
The Manila Times

BlackLine Reaches Agreement with Engaged Capital and Strengthens Board with Addition of Two Independent Directors

BlackLine, Inc. (Nasdaq: BL) ('BlackLine” or the 'Company”) today announced that it has appointed Storm Duncan and Megan Prichard to BlackLine’s Board of Directors in connection with a cooperation ...
IEEE

Reviving Legacy Seismic Data via Machine Learning Technique—Part 2: Estimating 3-D Seismic Volumes From 2-D Seismic Lines With VQ-VAE

Abstract: We propose a machine learning-based method that estimates a 3-D seismic volume from irregularly placed 2-D seismic lines, addressing the challenges regarding the local disturbances contained ...