Latest from MIT Tech Review – Open-sourcing generative AI

The views expressed in this video are those of the speakers, and do not represent any endorsement or sponsorship. Is the open-source approach, which has democratized access to software, ensured transparency, and improved security for decades, now poised to have a similar impact on AI? We dissect the balance between collaboration and control, legal ramifications,…

Latest from MIT Tech Review – Taking AI to the next level in manufacturing

Few technological advances have generated as much excitement as AI. In particular, generative AI seems to have taken business discourse to a fever pitch. Many manufacturing leaders express optimism: Research conducted by MIT Technology Review Insights found ambitions for AI development to be stronger in manufacturing than in most other sectors. Manufacturers rightly view AI…

Latest from MIT : Extracting hydrogen from rocks

It’s commonly thought that the most abundant element in the universe, hydrogen, exists mainly alongside other elements — with oxygen in water, for example, and with carbon in methane. But naturally occurring underground pockets of pure hydrogen are punching holes in that notion — and generating attention as a potentially unlimited source of carbon-free power….

Latest from MIT : When an antibiotic fails: MIT scientists are using AI to target “sleeper” bacteria

Since the 1970s, modern antibiotic discovery has been experiencing a lull. Now the World Health Organization has declared the antimicrobial resistance crisis as one of the top 10 global public health threats.  When an infection is treated repeatedly, clinicians run the risk of bacteria becoming resistant to the antibiotics. But why would an infection return…

Latest from MIT Tech Review – Tackling AI risks: Your reputation is at stake

Forget Skynet: One of the biggest risks of AI is your organization’s reputation. That means it’s time to put science-fiction catastrophizing to one side and begin thinking seriously about what AI actually means for us in our day-to-day work. This isn’t to advocate for navel-gazing at the expense of the bigger picture: It’s to urge…

O’Reilly Media – AI Has an Uber Problem

“The economic problem of society…is a problem of the utilization of knowledge which is not given to anyone in its totality.” —Friedrich A. Hayek, “The Use of Knowledge in Society” Silicon Valley venture capitalists and many entrepreneurs espouse libertarian values. In practice, they subscribe to central planning: Rather than competing to win in the marketplace,…

Latest from MIT : A new computational technique could make it easier to engineer useful proteins

To engineer proteins with useful functions, researchers usually begin with a natural protein that has a desirable function, such as emitting fluorescent light, and put it through many rounds of random mutation that eventually generate an optimized version of the protein. This process has yielded optimized versions of many important proteins, including green fluorescent protein…

Latest from MIT Tech Review – Scaling customer experiences with data and AI

Today, interactions matter more than ever. According to data compiled by NICE, once a consumer makes a buying decision for a product or service, 80% of their decision to keep doing business with that brand hinges on the quality of their customer service experience, according to NICE research. Enter AI. “I think AI is becoming…

Latest from MIT : Most work is new work, long-term study of U.S. census data shows

This is part 1 of a two-part MIT News feature examining new job creation in the U.S. since 1940, based on new research from Ford Professor of Economics David Autor. Part 2 is available here. In 1900, Orville and Wilbur Wright listed their occupations as “Merchant, bicycle” on the U.S. census form. Three years later,…