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The Move Toward Green Machine Learning

A new study suggests tactics for machine learning engineers to cut their carbon emissions. Led by David Patterson, researchers at Google and UC Berkeley found that AI developers can shrink a model’s carbon footprint a thousand-fold by streamlining architecture, upgrading hardware, and using efficient data centers. 

Data Science: U-M Partners with Google to Offer Job-ready Tech Skills Program 

A new flexible online training program on data science will prepare job-seekers in Michigan and beyond to quickly enter one of the fastest-growing labor markets and advance their careers. The University of Michigan’s Center for Academic Innovation created the program, “Data Analytics in the Public Sector with R,” for data science and other professionals interested in how public data sets can drive decisions and policymaking in the public sector. The course complements current Google career certificates, flexible online “Grow with Google” job-training programs for high-demand fields.

Synthesized Solidifies its Partnership with Deutsche Bank, Providing High-quality Synthetic Data for AI and ML Testing Purposes

Synthesized Ltd, a leading synthetic data generation platform, which provides engineering and data science teams a quick way to create and share trusted data through advanced machine learning and automation, announced that Deutsche Bank is investing in its next phase of growth and technology innovation development. 

How Artificial Intelligence Can Improve Coding Audits

In this contributed article, Jacob Wilkinson, Director, Product Management at VisiQuate, takes a look at how medical coding audits are complex, time-consuming, and costly processes that historically have required significant investment of manual resources to complete, but, more recently, advances in artificial intelligence have made audits more efficient, accurate, and cost-effective. 

NVIDIA Launches Large Language Model Cloud Services

NVIDIA today announced two new large language model cloud AI services — the NVIDIA NeMo Large Language Model Service and the NVIDIA BioNeMo LLM Service — that enable developers to easily adapt LLMs and deploy customized AI applications for content generation, text summarization, chatbots, code development, as well as protein structure and biomolecular property predictions, and more.

ACH Fraud and AI/ML – Much Work to be Done

In this article, I give focus to the situation with the financial services industry embracing AI/ML to a high degree in so many areas, one would think AI/ML would be used to detect and prevent ACH fraud, but this is not generally the case. Even the largest banking institutions seem to wash their hands with regards to ACH fraud, leaving their customers to absorb the losses.

How Can Dentistry Benefit from AI? It’s All in the Data

In this special guest feature, Florian Hillen, founder and CEO, VideaHealth, points out that Like many other industries within the healthcare ecosystem, dentistry is beginning to adopt artificial intelligence (AI) solutions to improve patient care, lower costs, and streamline workflows and care delivery. While the dental profession is no stranger to cutting-edge technology, AI represents such a revolutionary change that few organizations have the knowledge and skill sets to implement an effective strategy.

The Role of AI in RAN Automation

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.

AI Under the Hood: Mixing Things Up – Optimizing Fluid Mixing with Machine Learning

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.

China’s Plan To Be The AI Leader Makes Headway; Can The U.S. Thwart That Plan?

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.