AI reduces a 100,000-equation quantum physics problem to only four equations

By Thomas Sumner, contributing writer for

Using artificial intelligence, physicists have compressed a daunting quantum problem that until now required 100,000 equations into a bite-size task of as few as four equations—all without sacrificing accuracy. The work, published in the September 23 issue of Physical Review Letters, could revolutionize how scientists investigate systems containing many interacting electrons. Moreover, if scalable to other problems, the approach could potentially aid in the design of materials with sought-after properties such as superconductivity or utility for clean energy generation.


How AI and machine learning will impact the future of healthcare

By Bernard Marr, contributing writer for

Our modern healthcare system is currently facing huge challenges exacerbated by the pandemic, a rise in lifestyle-related diseases, and an exploding world population.


Machine learning operations offer agility, spur innovation

By MIT Technology Review Insights, contributing writers for

Many organizations have adopted machine learning (ML) in a piecemeal fashion, building or buying ad hoc models, algorithms, tools, or services to accomplish specific goals. This approach was necessary as companies learned about the capabilities of ML and as the technology matured, but it also has created a hodge-podge of siloed, manual, and nonstandardized processes and components within organizations. This can lead, in turn, to inefficient, cumbersome services that fail to deliver on their promised value—or that stall innovation entirely.


AI for warehouse management: Getting ahead of supply chain challenges

By Troy Prothero, contributing writer for

The last 2-plus years have thrown even the most seasoned warehouse management professionals for a loop, especially from an inventory optimization perspective. After all, how could anyone possibly plan and optimize inventory when faced with a once-in-a-lifetime perfect storm of supply chain chaos? Combine “always-there” challenges such as geopolitical instability in various corners of the globe and the occasional poor harvest, throw in an unprecedented pandemic and escalating trade wars, and that means that the already-delicate dance of optimizing inventory now requires supply chain experts to plan and respond with more agility and confidence than ever before.


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