In this week’s roundup, learn why automated machine learning (AutoML) is becoming a must-have business intelligence (BI) skill. Find out how researchers are using a machine learning (ML) optimizer to slash product design costs. Finally, discover how artificial intelligence (AI) is being used to protect elephants, diagnose Parkinson’s disease, and, if humanized, could be used to help alleviate physician burnout.
Why Automated Machine Learning Is Becoming A Must-Have Business Intelligence Skill
By Joey Bertschler, contributing writer for Forbes.com
As the business intelligence landscape changes, analytics tools are also rapidly evolving. BI analytics are expected to evolve as the industry advances. In the past, predictive analytics used to be owned by more technical employees. But today, no-code AutoML tools means anyone can deploy AI — which means that BI analysts are often expected to have AI skills.
Researchers Develop Machine-Learning Optimizer to Slash Product Design Costs
by Brett Hansard, contributing writer for TechXplore.com
At even the most state-of-the-art laboratories, the product design optimization process is often very expensive and takes a long time to run. That’s why the U.S. Department of Energy’s Argonne National Laboratory, Energy Systems division, recently developed a new design optimization tool called ActivO. This tool utilizes machine learning to reduce the time needed to find the best design.
Can Artificial Intelligence Give Elephants a Winning Edge?
By Adam Benzion, contributing writer for TechCrunch.com
There are many efforts and organizations focused on saving elephants. But an unlikely group joined the fight. Six months ago, an open-source community undertook an effort to develop the most advanced elephant tracking collars ever built, funded by tech industry leaders. The collar uses advanced ML and boasts an eight-year battery life and a massive networking range to track the elephants. Learn more about this impressive open-source effort and how it may expand well beyond elephants.
Humanizing AI: How to Close the Trust Gap in Healthcare
By Keith Roberts, contributing writer for InformationWeek.com
Physician burnout, resulting in high turnover, is a very real and very costly problem in the healthcare industry. They’re crushed with paperwork, leaving too little time for being with patients. Could AI be the answer to alleviating part of the burnout? Maybe. But there are still barriers to trust in AI solutions. AI products and services must come from a deep understanding of user and patient needs and promote user and patient engagement.
Simple Eye Exam With Powerful Artificial Intelligence Could Lead to Early Parkinson’s Disease Diagnosis
By Radiological Society of North America for SciTechDaily.com
Parkinson’s disease is a progressive disorder of the central nervous system. Diagnosis is usually based on symptoms like tremors, muscle stiffness, and impaired balance. The issue with this is that patients usually develop symptoms after prolonged progression with significant injury. It’s too late. A simple and inexpensive eye exam combined with powerful ML technology could provide early detection of the disease.
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