Lifeboat Foundation

Collaborative working between humans and robots can help companies capitalize on the best qualities of both, according to new research.

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Meta CEO Mark Zuckerberg says he isn’t abandoning the metaverse, even as the division of the company that manages its virtual and augmented reality projects lost $4 billion in the first quarter.

Recent comments by Zuckerberg and other Meta leaders have suggested that the company is going bullish on AI and switching its strategy away from the metaverse. Top Meta execs are now spending most of their time focused on AI, CTO Andrew Bosworth said earlier this month.

“A narrative has developed that we’re somehow moving away from focusing on the metaverse vision,” Zuckerberg told investors on Wednesday. “So I just want to say upfront that, that’s not accurate. We’ve been focusing on both AI and the Metaverse for years now, and we will continue to focus on both.”

April 26 (Reuters) — Microsoft Corp (MSFT.O) and Google-parent Alphabet Inc (GOOGL.O) talked up investments in artificial intelligence (AI) for the second quarter in a row but their results on Tuesday suggested that any substantial additions to sales will be slow.

The tech behemoths have launched an array of products that they promise are packed with generative AI, which creates brand new content — text, image, code — from past data. The term became a buzzword after Microsoft-backed firm OpenAI released ChatGPT, a chatbot that writes human-like responses.

“The world’s most advanced AI models are coming together with the world’s most universal user interface — natural language — to create a new era of computing,” Satya Nadella, Microsoft’s chief executive officer, said in a statement on Tuesday.

“As a computer scientist, I don’t like the term ” A.I.” In fact, I think it’s misleading—maybe even a little dangerous. Everybody’s already using the term, and it might seem a little late in the day to be arguing about it. But we’re at the beginning of a new technological era—and the easiest way to mismanage a technology is to misunderstand it.

The term artificial intelligence has a long history—it was coined in the nineteen-fifties, in the early days of computers. More recently, computer scientists have grown up on movies like The Terminator and The Matrix, and on characters like Commander Data, from Star Trek: The Next Generation. These cultural touchstones have become an almost religious mythology in tech culture. It’s only natural that computer scientists long to create A.I. and realize a long-held dream.

What’s striking, though, is that many of the people who are pursuing the A.I. dream also worry that it might mean doomsday for mankind. It is widely stated, even by scientists at the very center of today’s efforts, that what A.I. researchers are doing could result in the annihilation of our species, or at least in great harm to humanity, and soon. In a recent poll, half of A.I. scientists agreed that there was at least a ten-per-cent chance that the human race would be destroyed by A.I.

AI has just made its next big move! The Humane AI Wearable made its debut on a TED talk. Its coming after iPhones and Android smartphones!

Researchers identified DNA methylation markers that may indicate the risk of developing schizophrenia later in life in newborns. This breakthrough discovery could allow for early detection and intervention to reduce the impact of the disease. By studying blood samples collected at birth, the team was able to identify unique methylation differences in cell types that could become potential clinical biomarkers for future early detection of schizophrenia.

While analyzing the genomes of single-celled microbes, a team of researchers made a startling discovery: Thousands of previously unknown viruses were “hidden” within the microbes’ DNA.

The researchers found DNA from more than 30,000 viruses built into genomes of various single-celled microbes, they report in a new study. They explain that viral DNA might enable a host cell to replicate complete, functional viruses.

“We were very surprised by how many viruses we found through this analysis,” says lead author Christopher Bellas, an ecologist who studies viruses at the University of Innsbruck in Austria. “In some cases, up to 10 percent of a microbe’s DNA turned out to consist of hidden viruses.”

I remember when Gmail launched predictive answers to emails as a quick way to respond to folks. This moment sparked my curiosity about where this kind of technology would lead us. In those first few moments after discovering this feature, I understood that language itself, and perhaps even human thought, were on the brink of a massive transformation.

This was even more evident with predictive text. The idea is that the prediction is accurate, or close enough, so eventually, people will just start using the same small set of responses, with the conversations becoming more homogeneous and less original. Original thought is endangered.