By imbuing enormous vectors with semantic meaning, scientists can get machines to reason more abstractly—and efficiently—than before.
Checkout Keysight World Innovate: https://keysig.ht/rX9blU
Could there be universes with more than 3 Dimensions? And if so, could life exist there?
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Conversations About AI: Using it to transform the treatment of mental health and for the promotion of social good.
How can AI be used to help human mental health and address the social good? Aryan Pandey, a new guest contributor shows us.
The tool can be used for early diagnosis.
Scientists have conceived of a machine-learning model capable of detecting speech patterns that are linked to a diagnosis of Alzheimer’s or other forms of dementia. The new tool will be used for early evaluation of the conditions.
This is according to a report by Global News published on Saturday…
Continue reading “New machine-learning model can detect dementia in speech” »
Scientists have demonstrated entanglement and two-particle interference with phonon using an acoustic beam splitter.
Phonons are to sound what photons are to light. Photons are tiny packets of energy for light or electromagnetic waves. Similarly, phonons are packets of energy for sound waves. Each phonon represents the vibration of millions of atoms within a material.
Both photons and phonons are of central interest to quantum computing research, which exploits the properties of these quantum particles. However, phonons have proven challenging to study due to their susceptibility to noise and issues with scalability and detection.
US Congress considering two artificial intelligence bills to address concerns surrounding the technology.
As artificial intelligence (AI) continues to experience rapid growth, governments around the world have started to consider modifying policies and regulations around the technology.
US Senators yesterday introduced two separate bipartisan bills addressing AI to tackle issues surrounding the technology and to remain “competitive”, according to Reuters.
Like something out of a spy movie, thermal cameras make it possible to “see” heat by converting infrared radiation into an image. They can detect infrared light given off by animals, vehicles, electrical equipment and even people—leading to specialized applications in a number of industries.
Despite these applications, thermal imaging technology remains too expensive to be used in many consumer products such as self-driving cars or smartphones.
Our team at Flinders University has been working hard to turn this technology into something we can all use, and not just something we see in spy movies. We’ve developed a low-cost thermal imaging lens that could be scaled up and brought into the lives of everyday people. Our findings are published in the journal Advanced Optical Materials.
Have you ever made a great catch—like saving a phone from dropping into a toilet or catching an indoor cat from running outside? Those skills—the ability to grab a moving object—takes precise interactions within and between our visual and motor systems. Researchers at the Del Monte Institute for Neuroscience at the University of Rochester have found that the ability to visually predict movement may be an important part of the ability to make a great catch—or grab a moving object.
“We were able to develop a method that allowed us to analyze behaviors in a natural environment with high precision, which is important because, as we showed, behavioral patterns differ in a controlled setting,” said Kuan Hong Wang, Ph.D., a Dean’s Professor of Neuroscience at the University of Rochester Medical Center.
Wang led the study out today in Current Biology in collaboration with Jude Mitchell, Ph.D., assistant professor of Brain and Cognitive Sciences at the University of Rochester, and Luke Shaw, a graduate student in the Neuroscience Graduate Program at the School of Medicine & Dentistry at the University of Rochester. “Understanding how natural behaviors work will give us better insight into what is going awry in an array of neurological disorders.”
The frenzy over artificial intelligence may be ushering in the long-awaited moment when technology goes wild. Or maybe it’s the hype that is out of control.
The interplay of quantum measurements and unitary evolution is expected to produce dynamical phases with different entanglement properties. An entanglement phase transition has now been detected with hybrid quantum circuits in a superconducting processor.
