Industry Marketing Off-The-Shelf Technical Review 
CIO
AUGUST 4, 2023
As CIOs and technology leaders, we’re almost always in the role of the technology evangelist, bringing both mainstream and emerging technology into the organization for business benefit. Technology has always been used for positive and negative effect. What’s new and different today?
TechCrunch
OCTOBER 18, 2021
who aim to power next-generation technology without the need for expensive hardware that takes billions of dollars to develop and years to deploy. For deep tech startups, the capital game can be a tricky one to play. applicants signals that your innovation has strong technical and commercial merit and the potential for broad U.S.
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CIO
JANUARY 25, 2024
When a technology this powerful comes along where you have to learn by doing, finding reasons not to do it is a pretty big error,” he says. These risks are things you have to worry about with any other large-scale database technology project—but they’re not terrifying, and you have a great deal to gain,” says McAfee. By not entering.
TechCrunch
MARCH 9, 2023
While the tranche is a fraction of the startup’s previous raise ($70 million), Mythic claims that the tranche will enable it to bring its “next-generation” product — an improved energy-efficient AI processor — to market. Mythic initially worked on projects for the U.S. So what went wrong?
CIO
JANUARY 5, 2023
A September 2021 Gartner report predicted that by 2025, 70% of new applications developed by enterprises will use low-code or no-code technologies, up from less than 25% in 2020. It’s for speed to market,” says CTO Vikram Ramani. It’s for speed to market,” says CTO Vikram Ramani.
CIO
JANUARY 12, 2023
The workflows are built on Nvidia’s existing AI technology platform. Nvidia isn’t packaging these workflows as off-the-shelf applications, however. The first non-Amazon supermarket to use the company’s technology opened in Kansas City in December.
Tenable
JUNE 7, 2024
1 - NIST program will test safety, fairness of AI systems Will that artificial intelligence (AI) system now in development behave as intended once it’s released or will it go off the rails? goes beyond assessments of system performance and accuracy, and aims instead at measuring what NIST calls “technical and societal robustness.”
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