Figure AI and BMW announce significant improvements to the Figure 2 humanoid, increasing speed by 400% and success rate by sevenfold.
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Recent breakthroughs in genetics research may have uncovered new genes underlying common psychiatric disorders. Schizophrenia and bipolar disorder affect more than 64 million people around the world. These disorders are strongly influenced by genetics. No one gene, however, determines one’s risk of developing schizophrenia or bipolar disorder. Rather, it is likely that a host of genes contribute to risk. Using artificial intelligence, researchers at Stanford University now have uncovered complex variants throughout the human genome that may contribute to these psychiatric disorders. This new study suggests that mutations that occur after fertilization, such as genetic mosaicism, may be responsible for a number of psychiatric disorders including bipolar disorder and schizophrenia.
Think of a genome as a living book with instructions for every cell in the body. Our genes are the chapters. We have approximately 200,000 genes that provide instructions for making proteins, the building blocks of life. The vast majority of our genes, however, are non-coding, meaning that they do not provide instructions for proteins. Nonetheless, these genes play an important role in genetics and regulating cell function.
Genetic variants, or spelling changes, in either a coding or non-coding region can interfere with how the cell translates specific instructions. A small typo may have little to no effect on how the book is read. However, larger spelling changes can lead to the deletion of a sentence or even a whole chapter. Without the correct instructions to produce specific proteins, these spelling changes can contribute to disorders that impact different aspects of our body.
Hanson Robotics Limited’s Ben Goertzel, Sophia and Han at RISE 2017.
Now for something that’s never been done onstage before. While they may not be human, our next guests are ready to discuss the future of humanity, and how they see their types flourish over the coming years.
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One of the leading AI companies is funding academic research into algorithms that can predict humans’ moral judgements.
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1,271 likes, — artificialintelligencenews.in on November 22, 2024: According to former Google CEO Eric Schmidt, the tech industry anticipates that within the next five years, AI systems will be able to write and improve their code. This means AI will soon be capable of analyzing and enhancing its programming, setting off a recursive process that could dramatically accelerate development.
Schmidt suggests that by around 2030–2032, we might see a single AI system that can match 80–90% of the expertise of top specialists across various fields—whether that’s physics, chemistry, art, or more. Such a system would, in effect, be smarter than any human, as no one person can excel in all these disciplines at once. In short, Schmidt believes we are approaching a future where AI could possess intellectual versatility that surpasses any individual human’s abilities.
The first casualties of generative AI offer clues as to when a business may be strengthened by the technology—and when it will be upended. Examining them suggests three lessons for firms.
Dysolve, the first artificial intelligence-powered platform for dissolving dyslexia and associated learning disabilities, is paving the way for a new treatment approach.
Dyslexia is a neurodevelopmental learning disorder that makes it challenging for children and adults to read, write, and spell. The condition affects one out of every five people and represents 80% to 90% of those with learning disabilities.
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Scientists at the National Institutes of Health (NIH) have uncovered a brain circuit in primates that rapidly detects faces. The findings help not only explain how primates sense and recognize faces, but could also have implications for understanding conditions such as autism, where face detection and recognition are often impaired from early childhood.
The newly discovered circuit first engages an evolutionarily ancient part of the brain called the superior colliculus, which can then trigger the eyes and head to turn for a better look. This better view enables different brain areas in the temporal cortex to engage in more complex facial recognition. The study was published in the journal Neuron.
“Quick recognition of faces is a key skill in humans and other primates,” said Richard Krauzlis, Ph.D., of NIH’s National Eye Institute (NEI) and senior author of the study.
