Welcome to insideAI News’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
Search Results for: Intel
Deci’s Natural Language Processing (NLP) Model Achieves Breakthrough Performance at MLPerf
September 12, 2022 by
Deci, the deep learning company harnessing Artificial Intelligence (AI) to build better AI, announced results for its Natural Language Processing (NLP) inference model submitted to the MLPerf Inference v2.1 benchmark suite under the open submission track.
The Role of AI in RAN Automation
September 10, 2022 by
In this contributed article, Peo Lehto, Head of Solution Area OSS, Ericsson Digital Services. Ericsson Digital Services, discusses Intelligent Automation – the use of AI and machine learning tools and systems – as a way to automate at scale, help service providers make sense of their data lakes, and do more with the same network operations and engineering resources.
Edge Computing Is Driving Connectivity in a Remote-First World
September 9, 2022 by
In this special guest feature, Jason Andersen, Vice President of Business Line Management at Stratus Technologies, discusses how edge computing helps companies compute and share data across their supply chains and succeed in a disrupted, hybrid-first world. Even as people return to offices, it’s clear that the disruption isn’t going anywhere, so companies need to be strategic and think about how they provide workers wherever they are with access to data and make it actionable.
AI Under the Hood: Mixing Things Up – Optimizing Fluid Mixing with Machine Learning
September 9, 2022 by
Fluid mixing is an important part of several industrial processes and chemical reactions. However, the process often relies on trial-and-error-based experiments instead of mathematical optimization. While turbulent mixing is effective, it cannot always be sustained and can damage the materials involved. To address this issue, researchers from Japan (Tokyo University of Science) have now proposed an optimization approach to fluid mixing for laminar flows using machine learning, which can be extended to turbulent mixing as well.
Contextualizing Pattern Recognition to Drive Business Insight
September 8, 2022 by
It’s time to decouple artificial intelligence from individual applications. Dr John Bates, CEO of SER Group contends that the time is ripe to shift from simple process automation to enterprise contextual intelligence.
Akridata Announces General Availability of New AI Platform for Visual Data
September 7, 2022 by
Akridata, an AI platform for visual data, announced the first availability of its platform that provides data science teams the tools to easily explore, search, analyze, and compare visual data to improve data sets and improve model training.
OrionVM and Blaize Launch New AI-as-a-Service (AIaaS) Offering
September 7, 2022 by
OrionVM®, Infrastructure as a Service (IaaS) provider and cloud computing pioneer, announced the addition of technology partner Blaize®, the artificial intelligence (AI) computing innovator revolutionizing edge and automotive computing solutions, to create a new AI as a service (AIaaS) offering. This first-of-its-kind partnership will empower organizations across multiple industries to launch their AI solutions more quickly and efficiently, including machine learning across vast data sets.
TOP 10 insideAI News Articles for August 2022
September 6, 2022 by
In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideAI News. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.
China’s Plan To Be The AI Leader Makes Headway; Can The U.S. Thwart That Plan?
September 5, 2022 by
In this contributed article, Erika Twani, Co-founder and CEO of Learning One to One, discusses the global AI industry and how China’s plan to be the AI leader is making headway; and also how the U.S. can thwart that plan.
