The current state of artificial intelligence generative language models is more creative in every devergent thinking test of humans.
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The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order https://huggingface.co/papers/2404.
Pretrained language models underpin several AI applications, but their high computational cost for training limits accessibility.
Join the discussion on this paper page.
By contrast, information on coronary inflammation can provide crucial early warning signs of a cardiac event. Yet traditional diagnostic methods of measuring inflammation are not specific for cardiovascular diseases. Inflammation is invisible to CT scans, for instance. And biomarkers such as hsCRP (High-sensitivity C-reactive Protein) measure systemic inflammation, rather than cardiovascular inflammation, so the test may show up high in the case of inflammation driven by non-heart organs.
CaRi-Heart leverages AI tech to detect and quantify coronary inflammation, giving it an edge over traditional diagnostic methods. Cheng explains that while it is important to find patients who already have significantly narrowed coronary arteries, and obviously need immediate treatment, cardiologists often end up archiving many cases of patients with no visible signs of disease but who potentially have high coronary inflammation. This inflammation, driven by cholesterol, or smoking, or diabetes and other risk factors, ultimately causes the wall of the artery to become thickened and narrowed.
Caristo’s CaRi-Heart technology is a non-invasive cloud-based solution that utilizes AI to analyse CT scans, overcoming the limitations of traditional diagnostic methods, offering a more sensitive and specific approach to detecting and quantifying coronary inflammation, says Cheng. CaRi-Heart is the only commercially available technology that can detect and measure coronary inflammation on routine cardiac CT scans, and it has been cleared for clinical use in the UK, EU and Australia.
A new approach to monitoring arachnid behavior could help understand their social dynamics, as well as their habitat’s health.
Oriole Networks, a UCL spinout, has raised £10mn in seed funding to build AI “super brains” that promise to accelerate the training of Large Language Models (LLMs).
Founded in 2023 by UCL scientists, the startup has developed a new method that harnesses the power of light to connect thousands of AI chips. This results in a network of chips, where the power of each individual GPU is combined to form a “super brain.”
According to James Regan, CEO at Oriole Networks, this “enables the direct connection of a very large number of nodes enabling it to function as a single machine.”
According to a new report, more and more companies are becoming concerned with advertisers integrating generative AI into their pipelines.
Fears about AI making decisions for you in the future are misplaced — because computers already control your life.
The advanced civilization in my story have harnessed the power of many of the stars in their galaxy and using them for different purposes, one being Matrioska brains. Some of these super computers will be to run the AI in the real world as well as for other calculations, Others will be to run detailed virtual worlds. The earliest Simulations will be Computer simulated worlds with artifical life within but later the advanced species will try to create simulations to the subatomic level.
It has been stated that a Matrioshka brain with the full output of the sun can simulate 1 trillion to a quadrillion minds, how this translates to how much world/simulation space can exist and to what detail i am not sure. I believe our sun’s output per second is $3.86 \cdot 10^{26}$ W and our galaxies is $4\cdot 10^{58} \ W/s$, although with 400 billions stars in our galaxy I am not sure how of that energy is from other sources than the stars.
If we look past the uncertainty of subatomic partcles we have $10^{80}$ particles in a space of $10^{185}$ plank volumes in our observable universe, if we use time frames of $10^{-13}$ seconds this gives $10^{13}$ time frames per real second. With $10^{80}$ particles we can have $10^{160}$ interactions for a full simulation but a simulation where only the observed/ observable details needs to be simulated can run off much less computing.
An international study led by the UGR using artificial intelligence has shown that our personalities alter the expression of our genes. The findings shed new light on the long-standing mystery of how the mind and body interact.
Thesis:
Part I: It has been proven that the human mind cannot be analogous to an electronic (or any other type of) computer, and the functioning of an intellective mind cannot be reproduced (though it can certainly be simulated) by any type of mechanical device, including modern artificial intelligence systems.
Part II: It is further impossible that the human mind is a purely material thing (including some “emergent property” of matter).