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Tech companies showed off their latest products this week at CES, formerly known as the Consumer Electronics Show.

An annual report found that 2022 was a year of extremes for lightning, with more than 198 million lightning strokes observed in the US alone.

Generative AI and creative innovation go hand in hand that capture people’s attention in 2023. Here in this article, we are going to it explain how.

Skeptical technology experts believe the declaration is a hoax intended to cause panic.

Who has the best odds of winning?

In October, Musk tweeted: “Buying Twitter is an accelerant to creating X, the everything app.” According to Ark Invest founder Cathie Wood, Musk is “thinking about a super app like WeChat Pay.” Keep in mind that Musk founded X.Com and merged it with Confinity to create PayPal.

For context, China’s WeChat launched as a messaging service in 2011 and has since become a combination of Meta, Apple Pay, Venmo, Amazon, Uber, Robinhood, Rocket Mortgage, Kayak and Healthcare.gov — as well as more than 3.5 million partner “mini programs” that operate inside the app. PayPal and Walmart have been teasing their own versions of financial super apps since at least September 2021 but with much less fanfare.

Penguins may be self-aware.

A trio of researchers—one with the Indian government’s Ministry of Earth Sciences, another with the Indian Institute of Technology Bombay and the third with the National Institute of Advanced Studies, also in India—has found that some species of wild penguins may have some degree of self-awareness.

Prabir Ghosh Dastidar, Azizuddin Khan and Anindya Sinha have written a paper describing their study of the behavior of Adélie penguins in Antarctica and what they learned in their effort. The full paper is available on the bioRxiv preprint server.

Continue reading “Mirror test of wild penguins suggests they may possess self-awareness” »

A new drug that contains an ACE2 decoy molecule may be the way we stop COVID-19 permanently.

What’s Needed is a New Approach

A recent paper appearing in Science Advances published on December 7, 2022, describes a new approach to tackling COVID-19. A new drug in animal trials has shown effectiveness in stopping the spread of coronaviruses and all variants. It is the way this drug works that gives it a unique advantage not just to stop present Omicron and other COVID-19 versions but all future evolutions of the virus and other coronaviruses.

Continue reading “COVID-19 Defence May Soon Have a New Weapon In Our Collective Arsenal” »

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Bristle Discount Link (Oral Microbiome Quantification):
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Continue reading “Attempting To Optimize The Oral Microbiome, Part 3: A Role For Berberine” »

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At their best, AI systems extend and augment the work we do, helping us to realize our goals. At their worst, they undermine them. We’ve all heard of high-profile instances of AI bias, like Amazon’s machine learning (ML) recruitment engine that discriminated against women or the racist results from Google Vision. These cases don’t just harm individuals; they work against their creators’ original intentions. Quite rightly, these examples attracted public outcry and, as a result, shaped perceptions of AI bias into something that is categorically bad and that we need to eliminate.

While most people agree on the need to build high-trust, fair AI systems, taking all bias out of AI is unrealistic. In fact, as the new wave of ML models go beyond the deterministic, they’re actively being designed with some level of subjectivity built in. Today’s most sophisticated systems are synthesizing inputs, contextualizing content and interpreting results. Rather than trying to eliminate bias entirely, organizations should seek to understand and measure subjectivity better.