Machine Learning
NVMe, Single Tiering, Data Awareness and Other High Performance Storage Trends for 2020
High performance storage is changing as data (particularly unstructured data) volumes grow, data management becomes increasingly complex, diverse file types proliferate and AI/machine learning is more broadly adopted. According ...Full Article
DAWNBench Gives Way to MLPerf for Training, Inference
As the MLPerf benchmark emerges as an industry standard for measuring the performance of machine learning models, its creators said they will phase out the foundational DAWNBench metric. Stanford ...Full Article
Is AI a Sprint or a Marathon? Development ‘Sprints’ Get Companies to the Starting Line Fast
AI is a complex process that typically takes years to do right, requiring a huge investment in time, resources and money. At costs that can average upwards of $500K ...Full Article
Survey: AI Must Be a ‘Strategic Lever’
Hyper-scalers are racing to deploy AI technologies. Meanwhile, other sectors such as finance, healthcare and transportation ramping up AI initiatives are confronting challenges while considering precisely where automation technologies ...Full Article
Insilico, Pfizer Join AI Forces on Drug Discovery
Previous attempts to apply AI to drug discovery have yielded mixed results. For example, IBM ended sales last year of its Watson AI software used by pharmaceutical firms for ...Full Article
AI Is Changing Web Development
According to Accenture, 77 percent of smart devices include at least one AI feature. It is anticipated that by 2025 the global AI market will reach $60 billion. The ...Full Article
ARPA-E Brings ML to Power System Design
The U.S. Energy Department’s research arm is leveraging machine learning technologies to simplify the design process for energy systems ranging from photovoltaics and wind turbines to aircraft engine compressors. ...Full Article
MLOps Initiatives Seek to Boost Stalled Deployments
The deployment of machine learning models in production is failing to keep pace with the everyday operations of hyper-scalers. Those scaling and deployment gaps are being addressed through collaborations ...Full Article
Enterprise ML Moves Slowly Up the Value Chain
While developers are moving up the machine-learning learning curve, a vendor survey finds they still have a way to go in scaling ML deployments. Algorithmia’s annual survey of the ...Full Article
Kubernetes Gets a GPU Boost
An infrastructure vendor zeroing in on AI and machine learning workloads has added GPU support to a Kubernetes-based appliance designed to handle those emerging applications in containers while adding ...Full Article
