Covering Scientific & Technical AI | Sunday, December 22, 2024

Machine Learning

Beat the GPU Storage Bottleneck for AI and ML

Data centers that support AI and ML deployments rely on Graphics Processing Unit (GPU)-based servers to power their computationally intensive architectures. Across multiple industries, expansion in GPU use is ...Full Article

Google Nation: $10B for Office, Data Center Expansion in 11 States

Google disclosed in a blog it will invest $10 billion in office and data center expansion around the U.S. this year, generating thousands of new jobs in the process. ...Full Article

Micron Deep Learning Accelerator Gets Memory Boost

Deep learning accelerators based on chip architectures coupled with high-bandwidth memory are emerging to enable near real-time processing of machine learning algorithms. Memory chip specialist Micron Technology argues that ...Full Article

Nvidia Reports Strong Revenue, Earnings Growth

Nvidia is back. Way back. After four straight down quarters, the GPU juggernaut announced blockbuster earnings for the period ended January 26, beating analysts’ expectations for both revenue and ...Full Article

Oracle Touts AI Apps, Expands Cloud Partnership with Microsoft

Corporate finance and IT departments along with supply chain managers are the largest benefactors of AI technology, according to an emerging technologies study released this week by Oracle. Separately, ...Full Article

AI Career Notes: February 2020 Edition

In this monthly feature, we bring you up to date on the latest career developments in the enterprise AI community -- promotions, new hires, and accolades. Here's the AI ...Full Article

Detecting Coronavirus: Toronto Start-up’s AI Beat CDC by a Week

As governments, companies, markets and travelers struggle to deal with the coronavirus outbreak, a Toronto start-up used AI to get a jump on the world in issuing warnings about ...Full Article

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
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