The AI race has just gone global.
Chinese e-commerce and technology giant, Alibaba, unveiled its generative artificial intelligence (AI) model Tongyi Qianwen, a ChatGPT-like service, earlier today. The service can work in English and Chinese and will be rolled out across Alibaba products, ranging from Slack-like communication apps to smart home speakers.
Interest in the area of large language models has increased in the recent past after ChatGPT took the world by storm.
Robert Way/iStock.
The data centers that help train ChatGPT-like AI are very ‘thirsty,’ finds a new study.
A new study has uncovered how much water is consumed when training large AI models like OpenAI’s ChatGPT and Google’s Bard. The estimates of AI water consumption were presented by researchers from the Universities of Colorado Riverside and Texas Arlington in a pre-print article titled “Making AI Less ‘Thirsty.’”
Of course, the water used to cool these data centers doesn’t just disappear into the ether but is usually removed from water courses like rivers. The researchers distinguish between water “withdrawal” and “consumption” when estimating AI’s water usage.
Pp76/iStock.
In contrast to consumption, which relates mainly to water loss due to evaporation when used in data centers, the former involves physically removing water from a river, lake, or other sources. The consumption component of that equation, where the study claims “water cannot be recycled,” is where most of the study on AI’s water use is concentrated.
From high-tech fighting machines to supercomputers and killer robots, science fiction has a lot to say about war. You might be surprised to learn that some governments (including the UK and France) are now turning their attention to these fantastical stories as a way to think about possible futures and try and ward off any potential threats.
For many years now, science fiction writers have made prophesies about futuristic technologies that have later become a reality. In 1964, Arthur C. Clarke famously predicted the internet. And in 1983, Isaac Asimov predicted that modern life would become impossible without computers.
This has made governments take note. Not only can science fiction help us imagine a future shaped by new technologies, but it can also help us learn lessons about potential threats.
The world’s first fully sustainable robot lawn mower which runs solely on solar energy. No more pollution, no more emission.
The modern quest to automate everything leveraging connected technology has seen the likes of robot vacuum cleaners and other smart-home devices flourish. SunScout, a company based in New Zealand, aims to be at the forefront of this race with its autonomous robot lawn mower fully powered by the sun.
The SunScount Pro promises to be the be-all and end-all for lawn care and boasts of being able to work anywhere in the world.
SunScout.
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.
