mind.
Some researchers question whether A.I. can be truly intelligent without a body to interact with and learn from the physical world.
Category: robotics/AI – Page 1,036
In 1918, the American chemist Irving Langmuir published a paper examining the behavior of gas molecules sticking to a solid surface. Guided by the results of careful experiments, as well as his theory that solids offer discrete sites for the gas molecules to fill, he worked out a series of equations that describe how much gas will stick, given the pressure.
Now, about a hundred years later, an “AI scientist” developed by researchers at IBM Research, Samsung AI, and the University of Maryland, Baltimore County (UMBC) has reproduced a key part of Langmuir’s Nobel Prize-winning work. The system— artificial intelligence (AI) functioning as a scientist—also rediscovered Kepler’s third law of planetary motion, which can calculate the time it takes one space object to orbit another given the distance separating them, and produced a good approximation of Einstein’s relativistic time-dilation law, which shows that time slows down for fast-moving objects.
A paper describing the results is published in Nature Communications on April 12.
Elon Musk has been warning of the dangers of artificial intelligence for as long he can remember and now, it looks like his worst fears might be coming true…
Researchers in Boston are on the verge of what they say is a major advancement in lung cancer screening: Artificial intelligence that can detect early signs of the disease years before doctors would find it on a CT scan.
The new AI tool, called Sybil, was developed by scientists at the Mass General Cancer Center and the Massachusetts Institute of Technology in Cambridge. In one study, it was shown to accurately predict whether a person will develop lung cancer in the next year 86% to 94% of the time.
The Centers for Disease Control and Prevention currently recommends that adults at risk for lung cancer get a low-dose CT scan to screen for the disease annually.
Using artificial intelligence, an international team analyzed the chemical composition of extremely metal-poor stars, finding that the first stars in the Universe were likely born in groups rather than individually. This method will be applied to future observations to better understand the early Universe.
An international team has used artificial intelligence to analyze the chemical abundances of old stars and found indications that the very first stars in the Universe were born in groups rather than as isolated single stars. Now the team hopes to apply this method to new data from on-going and planned observation surveys to better understand the early days of the Universe.
After the Big Bang, the only elements in the Universe where hydrogen, helium, and lithium. Most of the other elements making up the world we see around us were produced by nuclear reactions in stars. Some elements are formed by nuclear fusion at the core of a star, and others form in the explosive supernova death of a star. Supernovae also play an important role in scattering the elements created by stars, so that they can be incorporated into the next generation of stars, planets, and possibly even living creatures.
A scientist has claimed that by the end of this year, humans will be able to upload consciousness onto the computer, making it sensible and being aware of and responsive to its own surroundings, but is it possible for a machine to react the way humans do?
Tech guru Dr Pratik Desai said that with enough recorded audio and videos, people will be able to keep their loved ones forever “alive”. Desai urged people to record their elderly parents and loved ones.
Desai is an expert in artificial intelligence and reports mentioned that he has also founded multiple start-ups and even created his own system similar to ChatGPT. He predicted consciousness could be uploaded onto a computer.
It was Darwin who first explained why humans should be afraid of their hyper-intelligent machines.
I was asked as a child what I thought God looked like and I said he looks like Mr Spock because God is logical. This upset the Mormon elders in that small town in California. They’re different than the Mormons I’m going to church with now.
Pastors and rabbis have recently discovered that ChatGPT, an AI language learning model that can spit out passable prose with just a few prompts, is not that bad at creating sermons – a cornerstone of worship services across many religions.
Historically, these orations are based on generations of knowledge, keen textual analysis and scholarship, combined with the unique charisma and experiences of each worship leader. Sermon writing is considered an art. A divine calling, even.
Seeing a computer approximate similar works in mere seconds has led faith leaders to wrestle with an intriguing problem: Can AI replicate a truly human, spiritual message? And if it can, is the computer just that good, or does the human message need some work?
Researchers have developed a new chip-sized microwave photonic filter to separate communication signals from noise and suppress unwanted interference across the full radio frequency spectrum. The device is expected to help next-generation wireless communication technologies efficiently convey data in an environment that is becoming crowded with signals from devices such as cell phones, self-driving vehicles, internet-connected appliances and smart city infrastructure.
“This new microwave filter chip has the potential to improve wireless communication, such as 6G, leading to faster internet connections, better overall communication experiences and lower costs and energy consumption for wireless communication systems,” said researcher Xingjun Wang from Peking University. “These advancements would directly and indirectly affect daily life, improving overall quality of life and enabling new experiences in various domains, such as mobility, smart homes and public spaces.”
In the Photonics Research journal, the researchers describe how their new photonic filter overcomes the limitations of traditional electronic devices to achieve multiple functionalities on a chip-sized device with low power consumption. They also demonstrate the filter’s ability to operate across a broad radio frequency spectrum extending to over 30 GHz, showing its suitability for envisioned 6G technology.
AI is already much more advanced than it was ten years ago, and it will only continue to witness rapid and exponential developments. Experts like John Maeda believe that AI will have surpassed the processing power of all living brains on Earth in the near future. To properly function in that kind of society, it will be necessary to work together with these new systems to make sure that the preservation of important human values is carried forward.
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