Twitter and UC Berkeley partner for improved machine learning MobileMarketing MagazineTwitter and researchers from UC Berkeley have collaborated to launch a new research initiative focused on the societal impact of machine learning.
The World’s Fastest Supercomputer Breaks an AI Record WIREDResearchers at Oak Ridge National Laboratory are training Summit, the world’s fastest supercomputer, to model climate change using machine learning …
Machine learning is coming, with profound implications Triangle Business JournalProfessor Larry Carin joined the electrical engineering department at Duke University in 1995, a time when the digital world was yet to change how people work …
How Machine Learning Improves Manufacturing Inspections, Product Quality & Supply Chain Visibility Enterprise IrregularsBottom Line: Manufacturers’ most valuable data is generated on shop floors daily, bringing with it the challenge of analy…
Is Your Data Center Ready for Machine Learning Hardware? Data Center KnowledgeAbility to cool high-density GPU clusters for machine learning is a new battleground for colo providers.
Pentagon, IC Labs Want to Protect Against AI’s Unique Cyber Weaknesses MeriTalkFrom a cybersecurity perspective, the strengths of artificial intelligence (AI) and machine learning (ML) are also weaknesses. The capacity to crunch massive …
Fairness in AI, StarCraft Edition ZDNetSome grumbling has been heard about how AlphaStar, Google DeepMind’s new neural net for playing at StarCraft, is neither fair nor intelligent. That’s probably …
Exploring the Relationship Between Quantum Computers and Machine Learning InfoQ.comThe Google AI Quantum team recently published two papers that contribute to the exploration of the relationship between quantum computers and machine …
Julia Is the #4 Top Machine Learning Project on GitHub HPCwireCAMBRIDGE, Mass., Jan. 31, 2019 — According to GitHub, Julia ranks #4 on the list of the top machine learning projects by contribution and #6 on the list.
Robot combines vision and touch to learn the game of Jenga: Machine-learning approach could help robots assemble cellphones and other small parts in a manufacturing line Science DailyDate: January 31, 2019; Source: Massachusetts Institute of…
