Why Our Approach to Artificial Intelligence Needs a Reboot
Do you see the limitations and over-hyped expectations of today’s approach to artificial intelligence (AI)?
Do you see the limitations and over-hyped expectations of today’s approach to artificial intelligence (AI)?
When you played cowboys and Indians as a kid, did you want to be the cowboy or the Indian? I wanted to be the Indian. All the ones I saw in comic books had super-cool moccasins and could move around with their bow and arrows without making a sound.
In 2020, MESA, a small business in Oklahoma, became to date the first and only three-time Baldrige Award recipient.
First published June 7, 2021, on MIT News.
Each year after the Quest for Excellence Conference, I sift through my notes and try to identify themes I have heard in the presentations of the new
In an essay titled “The end of artefacts,” Nobel laureate and National Institute of Standards and Technology (NIST) fellow
We live in an era of statue removal. Meanwhile the largest mountain carving in the world is under construction in the Black Hills of South Dakota just 17 miles from Mount Rushmore. The final carving will be 640 feet long and more than 50 stories high.
With big data and artificial intelligence (AI) transforming business, it’s almost certain that every executive will need to leverage these technologies at some point to advance their organization—and their career.
Plastics are a part of nearly every product we use on a daily basis. The average person in the United States generates about 100 kg of plastic waste per year, most of which goes straight to a landfill.
Suddenly, supply chains are in the spotlight.
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