Federal researchers are looking for updates and feedback on a video analytics initiative regarding ethical technology development, as government agencies plan to incorporate more artificial intelligence research and systems into their operations.
Originally published in March 2020, the NITRD's Federal Video and Image Analytics Research and Development Action Plan is open to public comments and suggestions on how to improve the plan's key pillars to bridge noted gaps in federal research investment, particularly surrounding the ...
We Need to Talk About How Good A.I. Is Getting - The New York Times
OpenAI invited me to test DALL-E 2 (the name is a play on Pixar's WALL-E and the artist Salvador Dalí) during its beta period, and I quickly got obsessed. I spent hours thinking up weird, funny and abstract prompts to feed the A.I.
Here, for example, is one of the images DALL-E 2 produced when I typed in "black-and-white vintage photograph of a 1920s mobster taking a selfie." And how it rendered my request for a high-quality photograph of "a sailboat knitted out of blue yarn."
Artificial intelligence in manufacturing: Examples, best use cases, and more (2022) - Dataconomy
Are you scared of AI jargon?
Artificial intelligence (AI) in manufacturing refers to a machine’s ability to think like a human, respond independently to internal and external events, and anticipate future occurrences.
Artificial intelligence in manufacturing entails automating difficult operations and spotting hidden patterns in workflows or production processes.
How to Understand and Fix Bias in Artificial Intelligence-Enabled Health Tools | The Pew ...
Medical tools enabled with artificial intelligence (AI) can greatly improve health care by helping with problem-solving, automating tasks, and identifying patterns.
AI tools do not have to be biased. But if we're not paying careful attention, we teach these tools to reflect existing biases in humans and health care, which leads to continued or worsened health inequities.
Quantum computing is an even bigger threat than artificial intelligence – here's why | WRAL TechWire
SAN FRANCISCO – Today's artificial intelligence is as self-aware as a paper clip.
Compounding the danger is the lack of any AI regulation . Instead, unaccountable technology conglomerates, such as Google and Meta, have assumed the roles of judge and jury in all things AI. They are silencing dissenting voices, including their own engineers who warn of the dangers.
Headroom Solves Virtual Meeting Fatigue with Artificial Intelligence that Eliminates Wasted Time ...
"The more meetings held, the more time wasted, with too many people spending time in redundant meetings.
Headroom is self-learning; its relevance and impact on productivity improves with use. Headroom data shows 90% of every meeting lacks useful information.
"Hybrid work is here to stay and virtual meetings are the norm, but they allow for a wide margin of distraction," said Roland Fryer, Founder and Managing Partner at Equal Opportunity Ventures and newly appointed Headroom Board Member.
Book: AI is cool, but nowhere near human capacity - Futurity
In 2020, Elon Musk said artificial intelligence would surpass human intelligence within five years, on its way to becoming “an immortal dictator.” A new book says no way, not ever.
The book, Why Machines Will Never Rule the World: Artificial Intelligence without Fear (Routledge, 2022), argues against the possibility of engineering machines that can surpass human intelligence.
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