Fun event if you’re in London on May 30th smile
___ Heads-up: the Imperial College Centre for Neurotechnology will host a keynote by Alvaro Fernandez on Wednesday, May 30th, titled Why the Future of Brain Enhancement & Mental Health is Digital & Pervasive. Description: As seen in patent and investment trends, research findings and consumer/patient behaviors, Mental.
When it comes to pegging the blame for the obesity crisis, farm subsidies are a popular target. Subsidies, the argument goes, encourage farmers to grow less-healthy foods—corn, turned into corn syrup, is the common culprit here—and fewer unsubsidized fruits and vegetables.
Not everyone agrees. Experts caution that cheap corn isn’t the only cause of poor nutrition and that other factors, like technology, are responsible for the low cost of field crops. Still, it’s reasonable to ask: How can subsidies be used to make healthier food options more available?
One answer: by making sure that subsidies take into account consumer welfare as well as farmers’ incomes, suggest UCLA Anderson’s Prashant Chintapalli, a Ph.D student, and Christopher S. Tang. In a working paper examining a type of subsidy called “minimum support prices,” or MSPs, the authors suggest that backing a diverse mix of crops—including fruits and vegetables—would give consumers a wider selection and be most effective at raising farmer profits at a lower cost to the government.
Https://paper.li/e-1437691924#/
IASH and the School of Social and Political Science are pleased to invite to a guest lecture by Prof. N.J. Fox (Sheffield) on 16th May 2018 in the IASH Coffee room. Coffee available from 3pm for 3.30pm start.
The posthuman condition? A materialist odyssey from obesity to sexualities to ecology.
Nick J Fox
That raises significant issues for universities and governments. They also need A.I. expertise, both to teach the next generation of researchers and to put these technologies into practice in everything from the military to drug discovery. But they could never match the salaries being paid in the private sector.
Tax forms filed by OpenAI provide insight into the enormous salaries and bonuses paid to artificial intelligence specialists across the world.
Robots are going to make life a lot easier for amputees and people with spinal cord injuries. Take HAL from CYBERDYNE for instance: it is robotic assistive limb that improves patients’ ability to walk. HAL uses sensors to detect signals from the patient’s body to assist with desired movement.
🛩️ Latest App Smart Drones & Multirotors
Humans are usually good at isolating a single voice in a crowd, but computers? Not so much — just ask anyone trying to talk to a smart speaker at a house party. Google may have a surprisingly straightforward solution, however. Its researchers have developed a deep learning system that can pick out specific voices by looking at people’s faces when they’re speaking. The team trained its neural network model to recognize individual people speaking by themselves, and then created virtual “parties” (complete with background noise) to teach the AI how to isolate multiple voices into distinct audio tracks.
The results, as you can see below, are uncanny. Even when people are clearly trying to compete with each other (such as comedians Jon Dore and Rory Scovel in the Team Coco clip above), the AI can generate a clean audio track for one person just by focusing on their face. That’s true even if the person partially obscures their face with hand gestures or a microphone.
Google is currently “exploring opportunities” to use this feature in its products, but there are more than a few prime candidates. It’s potentially ideal for video chat services like Hangouts or Duo, where it could help you understand someone talking in a crowded room. It could also be helpful for speech enhancement in video recording. And there are big implications for accessibility: it could lead to camera-linked hearing aids that boost the sound of whoever’s in front of you, and more effective closed captioning. There are potential privacy issues (this could be used for public eavesdropping), but it wouldn’t be too difficult to limit the voice separation to people who’ve clearly given their consent.
