In this week’s roundup, learn three main pathways to successful mathematical optimization implementations and how error-riddled data sets are warping our sense of how good artificial intelligence (AI) really is. Explore how AI is making its way into the Energy Department and reducing food waste. Finally, understand how advanced analytics is advancing the development of genetic vaccines.
Three Main Pathways To Successful Mathematical Optimization Implementations
By Edward Rothberg, contributing writer for Forbes.com
Enterprises across the business spectrum are accelerating the adoption of AI technologies, with 83% of companies reporting that they boosted their budgets for AI over the past year in an effort to make better business decisions. How can these companies successfully steer their implementation projects from concept to completion? They must be able to figure out how to integrate mathematical optimization technologies with their existing IT systems, processes, and people.
Error-Riddled Data Sets Are Warping Our Sense of How Good AI Really Is
By Karen Hao, contributing writer for TechnologyReview.com
According to a new study from MIT, the ten most cited data sets are packed with label errors. The result is that this distorts our understanding of the field’s progress. Data sets are the backbone of AI research and researchers use a core set of them to evaluate ML models as a way to track how AI capabilities are advancing over time. But studies have found that these data sets can contain serious flaws.
‘It’s Going to Touch Everything.’ Energy Department Weaves AI Into Mission-Critical Work
by Jory Heckman, contributing writer for FederalNewsNetwork.com
The Energy Department is turning to AI to accelerate its output. All of the agency’s offices are using AI at some level and use cases are becoming more advanced. It is using AI to monitor threats to the electric grid and may be used to flag potential fraud. They’re working to harden AI algorithms against threats, improving the explainability of AI-produced results, and quantifying the certainty AI models have in making predictions. It is also looking at AI’s usefulness to study climate change and make predictions. It truly is going to touch everything.
Artificial Intelligence For Reducing Food Waste
By Fraunhofer-Gesellschaft, contributing writer for TechXplore.com
In Germany, 12 million tons of food end up in the trash every year. Over 30 percent of that is already destroyed in the production process. There is an effort to combat this waste and AI is a valuable asset. Cheese, bread, meat, and other food products can be efficiently produced using data-based algorithms. ML methods can optimize sales and production planning as well as process and plant control systems.
Advanced Analytics Advancing Development of Genetic Vaccines
By Kristin Brooks, contributing writer for ContractPharma.com
New medicines and vaccines have been developed and approved in record time as a result of the pandemic. It’s not just traditional medicines using established technologies and processes but new drug modalities, such as RNA therapeutics, reaching clinical trials within two years of development. This was made possible by leveraging innovative and advanced analytical technologies to ensure regulatory compliance in the development and production of these vaccines.
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