The artificial intelligence software speeds up the process of taking scans.
Philips received clearance from the FDA for its artificial intelligence MR platform that is used to detect cancerous tumors in the head and neck.
FDA clearance for AI technology
Continue reading “FDA gives clearance to Philips for its AI powered MRI scans” »
Insider obtained documents that reveal the topics, goals and challenges discussed. Together, they show Amazon’s ambition to take on Google’s DeepMind, a pioneer in AI-powered scientific discovery. This could take Amazon from dabbling in healthcare services, and turn it into a potentially serious player in the future of medicine.
“The demarcation line between core Amazon/AWS business and life science and healthcare is shifting,” said Amazon scientist and senior solutions architect Sergey Menis, according to a transcript of his comments seen by Insider. “We are increasingly more specialized in healthcare and life sciences.” An Amazon spokesperson declined to comment.
Menis developed a nanoparticle that underpins a promising HIV vaccine candidate. He was joined at last week’s Amazon Machine Learning Conference by Amazon’s chief medical officer Taha Kass-Hout.
Chipmaker sees 3D version of the internet with ‘a whole bunch of robots’ as it expands factory-oriented tools.
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Recent years have seen a growing demand for artificial intelligence (AI) acceleration hardware. IBM has taken note.
In the earliest days of AI, commercial CPU and GPU technologies were enough to handle the technology’s data sizes and computational parameters. But with the emergence of larger datasets and deep learning models, there is now a clear need for purpose-built AI hardware acceleration.
This highlights the promise and the peril of achieving HLAI: building machines designed to pass the Turing Test and other, more sophisticated metrics of human-like intelligence.8 On the one hand, it is a path to unprecedented wealth, increased leisure, robust intelligence, and even a better understanding of ourselves. On the other hand, if HLAI leads machines to automate rather than augment human labor, it creates the risk of concentrating wealth and power. And with that concentration comes the peril of being trapped in an equilibrium where those without power have no way to improve their outcomes, a situation I call the Turing Trap.
The grand challenge of the coming era will be to reap the unprecedented benefits of AI, including its human-like manifestations, while avoiding the Turing Trap. Succeeding in this task requires an understanding of how technological progress affects productivity and inequality, why the Turing Trap is so tempting to different groups, and a vision of how we can do better.
A new type of material can learn and improve its ability to deal with unexpected forces thanks to a unique lattice structure with connections of variable stiffness, as described in a new paper by my colleagues and me.
NVIDIA’s Megatron Turing AI Model can now have conversations with itself to perpetually improve itself in the hopes of understanding how to best control and influence other people in debates. This sparked a lot of discussions in the AI Community because ever-improving Artificial Intelligences pose real dangers to humanity.
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TIMESTAMPS:
00:00 The biggest Black Box.
01:54 Nvidia’s GPT-3 Competitor.
03:23 How these AI’s work.
04:50 The Ethical issues of Black Box AI’s.
08:19 Last Words.
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#ai #agi #nvidia
Researchers say they were inspired by living things from trees to shellfish.
They were inspired by living things, from trees to shellfish. Researchers at the University of Texas at Austin set their collective advanced minds on creating a plastic that would mimic real life. It would be like many life forms that are soft and stretchy in some places and hard and rigid in others.
Their success, a first ever, using only light and a catalyst to change the properties such as hardness and elasticity in molecules of the same type. The resulting material is ten times stronger than natural rubber and could very well change flexibility of electronics and robotics.
Researchers created an artificial intelligence process that determines when and where wildfires will occur.
Wildfires have caused extreme fire damages across the globe, along with many deaths. It is significant to know when wildfires are spreading, and where, to prevent loss of life. Realizing this important information in advance is key. Forecasting wildfire danger can be a difficult task because of the complexity involving climate system, interactions with vegetation and socio-economic components.
Currently, available information for widespread fires only provides limited data and information.
Continue reading “A newly developed AI-based method can accurately predict wildfires” »
