Scientists will soon have the tools to rewrite the book of life, and in doing so, edit out sections that cause disease, piece by piece. But is the technology safe and will all of us get the benefits, or will it be the preserve of those who can afford it?
Posted in biotech/medical, information science, robotics/AI
A new type of artificial intelligence (AI) algorithm, developed by the Mayo Clinic and the Google Research Brain Team, can potentially pave the way toward more directed brain stimulation for the treatment of Parkinson’s disease and other movement-related disorders.
According to researchers, this algorithm can more accurately determine the interaction between different regions of the brain — data that will be key for improving the way brain stimulation devices are used in the real world for treating Parkinson’s.
“Our findings show that this new type of algorithm may help us understand which brain regions directly interact with one another, which in turn may help guide placement of electrodes for stimulating devices to treat network brain diseases,” Kai Miller, MD, PhD, a neurosurgeon at Mayo Clinic and the first author of the study, said in a press release.
Also, consider that some people with medical conditions may not be comfortable making eye contact.
“In the past, it has been assumed that eye contact creates synchrony, but our findings suggest that it’s not that simple,” says senior author Thalia Wheatley, a professor of psychological and brain sciences at Dartmouth, and principal investigator of the Dartmouth Social Systems Laboratory.
Summary: Study reveals a correlation between instances of eye contact and higher levels of engagement during conversations.
Source: Dartmouth College
Better control over free-falling cold atoms paves the way for new tests of fundamental physics.
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DNA methylation GrimAge strongly predicts lifespan and healthspan.
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Fisetin is a senotherapeutic that extends health and lifespan.
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Now DeepMind has set its sights on another grand challenge: bridging the worlds of deep learning and classical computer science to enable deep learning to do everything. If successful, this approach could revolutionize AI and software as we know them.
Petar Veličković is a senior research scientist at DeepMind. His entry into computer science came through algorithmic reasoning and algorithmic thinking using classical algorithms. Since he started doing deep learning research, he has wanted to reconcile deep learning with the classical algorithms that initially got him excited about computer science.
Meanwhile, Charles Blundell is a research lead at DeepMind who is interested in getting neural networks to make much better use of the huge quantities of data they’re exposed to. Examples include getting a network to tell us what it doesn’t know, to learn much more quickly, or to exceed expectations.
A bitter divorce battle in Russia has led to cryogenically frozen bodies being seized in an extraordinary day-time raid.
Staff of a company set up by Valeria Udalova, 59 grabbed the remains of people — including from Britain and the US — who paid thousands of pounds hoping to be brought back to life when science advances to allow this.
She and her team raided the company run by her ex-husband Danila Medvedev, 41 near Moscow, which is home to Russia’s leading cryo-storage facility, say reports.
These brightly colored robotic boats seem to have a death wish.
The brightly-colored robotic boats made by Saildrone seem to have a death wish.
Saildrone makes autonomous ocean vessels to study the environment. This summer, the Silicon Valley startup sent five of its vessels directly into the path of hurricanes in the Atlantic Ocean. While airplanes can fly through hurricanes, the screaming winds kick up such huge waves that attempting to sail boats right into them is something best to be avoided.
Saildrone’s vessels are uncrewed, and built to survive hurricane winds and huge waves. Scientists are excited that the vessels could improve our understanding of how storms intensify.
