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Scientific Machine Learning and HPC-AI Technology Convergence

Though AI has been widely demystified, its full materialization in real field implementation entails diversified challenges. The article by Dr Cédric Bourrasset (Atos) gives perspective on the hiccups and recommendations on the way to realize “Scientific Machine Learning and HPC-AI technology convergence”

New Cornell Virtual HPC, Data Science, Machine Learning Workshops at XSEDE

ITHACA, NY – Cornell University announced today that four new Cornell Virtual Workshop training topics are available at the Extreme Science and Engineering Discovery Environment (XSEDE) User Portal: Getting Started on Frontera Introduction to Advanced Cluster Architectures Using the Jetstream APIs Python for Data Science: Part 2 – Data Modeling and Machine Learning Cornell Virtual Workshop topics are freely available at all times to the entire scientific community – […]

EvidentIQ: Data Science Group Created from XClinical, Carenity and Fortress Medical

Today it was announced that Andreas Weber has been appointed CEO of EvidentIQ, the newly formed life science group from the merger of clinical software vendors XClinical and Fortress Medical with social platform Carenity. The company said Weber brings more than 20 years of industry experience after management positions at ERT, Bioclinica and Oracle Health Sciences. The EvidentIQ offering brings […]

Teradata Expands Data Science Collaboration Capabilities

Cloud data analytics specialist Teradata has released collaborative features to its Vantage platform designed to reduce the friction between data scientists, business analysts, data engineers and business managers – some of whom may use different tools and languages. Enhancements include expanded native support for R and Python, with the ability to call more Vantage-native analytic […]

KDD 2020 Data Mining Conference Goes Virtual Aug. 23-27

The Association for Computing Machinery’s Special Interest Group on Knowledge Discovery and Data Mining (ACM SIGKDD) will hold its flagship annual conference, KDD 2020, virtually, August 23-27. The KDD conference series, started in 1989, is the world’s oldest and largest data mining conference, and is the venue where concepts such as big data, data science, […]

Mode Analytics Raises $33 Million in Series D Funding, Led by H.I.G. Growth Partners

San Francisco – August 6, 2020 – Mode Analytics, the leader in advanced analytics, today announced that it has closed a $33 million round of Series D funding led by H.I.G. Growth Partners, along with Valor Equity Partners, Foundation Capital, REV Venture Partners, and Switch Ventures.  Mode will use the funds to accelerate its leading analytics platform, […]

NetApp Deploys Iguazio’s Data Science Platform for Optimized Storage Management

Previously built on Hadoop, NetApp said it was also looking to modernize the service infrastructure “to reduce the complexities of deploying new AI services and the costs of running large-scale analytics. In addition, the shift was needed to enable real-time predictive AI, and to abstract deployment, allowing the technology to run on multi-cloud or on premises seamlessly.”

Bright Cluster Manager for Data Science Now Available at No Charge with Easy8

Today Bright Computing announced that Bright Cluster Manager for Data Science is now available at no charge as part of the Easy8 program. Launched in November of 2019, Easy8 is designed to put Bright’s award-winning cluster management software in the hands of every organization working with high-performance Linux clusters. Easy8 offers the full-featured Bright Cluster Manager software free for up to 8 nodes, and now includes Bright Cluster Manager for Data Science. Bright Cluster Manager automates the process of building and managing heterogeneous Linux clusters that span from your on-premise datacenter to the cloud, and to the edge.

Take the Data Science Survey from the University of Pisa

A research team from the University of Pisa seeks your participation in their Data Science Survey. The survey is mainly addressed at those who work every day in the field of data science, either on their own or for a company. “This questionnaire will provide the starting point for defining a common framework among those working in data science. We think we will make the results of the questionnaire public 100%, so that the community can benefit from it.”

Accelerate Big Data and HPC applications with FPGAs using JupyterHub

Today InAccel annnounced that it has integrated JupyterHub into the company’s adaptive acceleration platform for FPGAs. InAccel provides an FPGA resource manager that allows the instant deployment, scaling and virtualization of FPGAs making easier than ever the utilization of FPGA clusters for applications like machine learning, data processing, data analytics and many more HPC workloads.