News & Insights for the AI Journey|Saturday, May 25, 2019
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Machine Learning

AI Projects Stalled by Messy Data

Tens of billions will be spent this year on AI development, but those efforts continue to be stymied by ratty data that has undermined model training efforts and burned ...Full Article

Google Cloud Goes Global with Nvidia T4 GPUs

Nvidia’s T4 GPUs unveiled earlier this year for accelerating workloads such as AI inference and training are making their “global” debut as cloud instances on Google Cloud. Google (NASDAQ: ...Full Article

Cloud Spending Grows Despite Unused Capacity

AI and machine learning workloads along with Internet of Things and edge computing initiatives are prompting companies to add workload processing capacity. Still, according to a new survey, that ...Full Article

AI and Enterprise Data Centers Boost HPC Server Revenues Past Expectations – Hyperion

Building on the big year of 2017 and spurred in part by the convergence of AI and HPC, global revenue for high performance servers jumped 15.6 percent last year, ...Full Article

10 Ways AI Affects HPC in 2019

AI workloads are becoming ubiquitous, including running on the world’s fastest computers — thereby changing what we call HPC forever. As every organization plans for the future, AI workloads are ...Full Article

Tabor Communications Announces Rebranding of EnterpriseTech: EnterpriseAI

Tabor Communications, publisher of high performance technology publications HPCwire, Datanami and EnterpriseTech, has announced that EnterpriseTech has been re-branded as EnterpriseAI. The new name reflects the publication’s increased focus ...Full Article

DARPA, NSF Pursue Machine Learning Chip

A new U.S. research initiative seeks to develop a processor capable of real-time learning while operating with the “efficiency of the human brain.” The National Science Foundation (NSF) and ...Full Article

ML Proponents Confront Reproducibility Claims

Machine learning researchers are pushing back on the recent assertion that the AI framework is a key contributor to a reproducibility crisis in scientific research. Rick Stevens, associate laboratory ...Full Article

Machine Learning Fuels Scientific Skepticism

Scientists are raising red flags about the accuracy and reproducibility of conclusions drawn by machine learning frameworks. Among the remedies are developing new ML systems that can question their ...Full Article

Power Couple: IBM Joins PowerAI Hardware with Watson; Launches Multi-Hybrid AI Services

As IBM kicked off its annual Think conference, a high-production extravaganza this week in San Francisco, the company this morning made a series of AI-related announcements, including the merging ...Full Article
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