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Machine Learning Is Living in the Past
Machine learning algorithms trained on large data sets have proven useful for spotting past patterns. Examples include stable environments like image databases or board games. When it comes to ...Full Article
Kubernetes-Native DevOps Gains Steam
Application development tool vendors continue to attract investors as enterprise DevOps teams look to automate workflows that will accelerate continuous integration and delivery capabilities for application container and microservices ...Full Article
Xilinx Keeps Pace in AI Accelerator Race
FPGAs are increasingly used to accelerate AI workloads in datacenters for tasks like machine learning inference. A growing list of FPGA accelerators are challenging datacenter GPU deployments, promising to ...Full Article
CryptoSuper 500 – Keeping Track of the Supercomputers that Mine Money
Cryptocurrencies and the associated blockchain decentralized ledger technologies have grown in importance as a new asset class. They have fueled an emerging crypto economy which has become an important ...Full Article
AI is Key to China Infrastructure Plan, as is AI Talent
China’s latest set of technology goals for the next decade have been assimilated into an initiative launched this spring under the rubric, “new infrastructure.” Collectively, the aspirational blueprint includes ...Full Article
Nvidia Goes Deep With Mellanox Datacenter Net Security
When Nvidia announced its acquisition of Mellanox, the GPU leader noted that datacenters would eventually be built like high performance computers. Hence, it’s not surprising the first fruits of ...Full Article
Intel Launches 3rd Gen Scalable Xeons for 4- and 8-Socket Platforms for AI, Datacenter
Intel today unveiled its third-generation Scalable Xeon processor family (codenamed Cooper Lake) for four- and eight-socket servers, aimed at AI and analytics workloads running in the datacenter. In total, ...Full Article
NeoML Released as TensorFlow Alternative
A new open source library for training machine learning models is billed as rivaling the performance of AI models trained with established libraries like TensorFlow, especially models running on ...Full Article
Crypto-Jackers Target Exposed Kubernetes Workloads
As the Kubernetes cluster orchestrator moves deeper into enterprise infrastructure, cyber criminals continue to probe for weaknesses, frequently targeting application container image repositories. The latest onslaught involves misconfigured Kubeflow ...Full Article
IBM Halts Facial Recognition Sales
In a nod to the national discussion on racial equality and law enforcement, IBM CEO Arvind Krishna this week said the company will no longer sell facial recognition technology. ...Full Article
