Nicholas Play they wrote an article for you.
A panel of AI-enabled humanoid robots told a United Nations summit on Friday that they could eventually run the world better than humans.
But the social robots said they felt humans should proceed with caution when embracing the rapidly-developing potential of artificial intelligence.
And they admitted that they cannot – yet – get a proper grip on human emotions.
The debate surrounding the use of AI chatbots and copyright is really starting to heat up.
Case in point, comedian and author Sarah Silverman has filed a lawsuit, alongside two other authors, against OpenAI and Meta for copyright infringement, The Guardian reports.
They’re claiming that OpenAI’s very popular ChatGPT and Meta’s own AI model LLaMA were trained on their books as dataset fodder, without their consent.
Advanced neuroprosthetics are here, and they could hook our brains into the Internet of Things.
Can you really die in the digital age? It’s a question that plagues performance artist Georgia Banks. Not only is this question a recurring theme in her work, but it’s also a concept she lives by.
Since earning a Master of Fine Arts (MFA) from the VCA in 2015, Georgia Banks has consistently skirted the boundaries between art and life through her performance-based works.
Through her practice, Banks has clinched a beauty pageant title, auctioned off the rights to her funeral, endured a crucifixion, and been sued by the estate of American artist Hannah Wilke.
Microsoft cofounder Bill Gates is warning that AI assistants could soon make search engines like Google Search obsolete by profoundly altering the behaviors of users online.
“Whoever wins the personal agent, that’s the big thing, because you will never go to a search site again, you will never go to a productivity site, you’ll never go to Amazon again,” Gates said during a Goldman Sachs event on AI in San Francisco this week, as quoted by CNBC.
These AI assistants could “read the stuff you don’t have time to read,” he said, allowing users to get to information without having to use a search engine like Google.
LOS ANGELES – Artificial intelligence, quantum computing and nuclear power are among the key technologies Lockheed Martin sees as important for future space missions.
Through a project called Destination: Space 2050, Lockheed Martin executives are exploring, for example, how AI could assist scientific exploration of locations where communications with remote sensors would be disrupted by high latency.
In that type of environment, “you really can’t interact with the robotic sensors,” David Lackner, Lockheed Martin senior manager strategy and business development, said during a June 28 webinar. “You have to have something that is super autonomous that can deal with unknown unknowns. We’ve got some really interesting causal autonomy tools that … allow the AI to be super smart about running into something that it hasn’t encountered before.”
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Russia has successfully conducted tests on parts of its next-generation “Poseidon” nuclear-capable torpedo, according to reports.
Testing of reactors for the Poseidon unmanned nuclear-powered underwater drones shows “their operability and safety have been confirmed,” Russian state news agency RIA Novosti reported on June 23. The report was also shared on Russian-language social media channels.
“They are ready to work as intended,” the Kremlin-backed outlet quoted an unnamed source “in the military-industrial complex.” The first “sea tests” are scheduled for this summer.
When asked how this model can cover such a broad scale, Xie says, that it “is rooted in the integration of mechanistic modeling and ML statistical methods, which allows the model to provide a more comprehensive and nuanced understanding of various aspects of RNA and related processes, while quantifying uncertainties due to limited knowledge.”
For example, she explains that, “The mechanistic aspect of the model captures intricate physical and chemical properties at the atomic level, which supports a deep understanding of the underlying biological processes, and the machine-learning element can effectively capture patterns in complex datasets—such as molecular simulations and single-molecule fluorescence microscopy time-course data—and learn relationships that might not be explicitly described in existing mechanistic models.”
In addition to helping scientists better understand the fundamental biology of RNA, the Northeastern team’s hybrid model promises many commercial benefits in the production of monoclonal antibodies, cell and gene therapies, and mRNA vaccines. As Xie says, “It can advance the knowledge of RNA manufacturing mechanisms and guide simultaneous design/control strategies at different levels, such as RNA sequence selection and specifications of critical quality attributes, with less experiments.”