Samsung said on Monday that hackers breached its internal company data, gaining access to some source codes of Galaxy-branded devices like smartphones.
The statement from the South Korean electronics giant comes after hacking group Lapsus$ claimed over the weekend via its Telegram channel that it has stolen 190 gigabytes of confidential Samsung source code.
Samsung did not name any specific hackers in its statement nor what precise data was stolen.
The sensor sends out electromagnetic waves in a broad beam, which are intercepted and reflected back by objects (or people) in their path.
A redesigned Cas9 is thousands of times less likely to target the wrong stretch of DNA while remaining just as efficient as the original version.
I’ve been trying to review and summarize Eliezer Yudkowksy’s recent dialogues on AI safety. Previously in sequence: Yudkowsky Contra Ngo On Agents. Now we’re up to Yudkowsky contra Cotra on biological anchors, but before we get there we need to figure out what Cotra’s talking about and what’s going on.
The Open Philanthropy Project (“Open Phil”) is a big effective altruist foundation interested in funding AI safety. It’s got $20 billion, probably the majority of money in the field, so its decisions matter a lot and it’s very invested in getting things right. In 2020, it asked senior researcher Ajeya Cotra to produce a report on when human-level AI would arrive. It says the resulting document is “informal” — but it’s 169 pages long and likely to affect millions of dollars in funding, which some might describe as making it kind of formal. The report finds a 10% chance of “transformative AI” by 2031, a 50% chance by 2052, and an almost 80% chance by 2100.
Eliezer rejects their methodology and expects AI earlier (he doesn’t offer many numbers, but here he gives Bryan Caplan 50–50 odds on 2030, albeit not totally seriously). He made the case in his own very long essay, Biology-Inspired AGI Timelines: The Trick That Never Works, sparking a bunch of arguments and counterarguments and even more long essays.
Google has patented technology that will let users control its smartwatches and earbuds by simply touching their skin.
The patent titled “Skin interface for Wearables: Sensor fusion to improve signal quality” was spotted by folks over at LetsGoDigital. It details tech that users can use to operate wearable devices using skin gestures.
Patent documents show that users can swipe or tap the skin near the wearables in order to control them. The gesture creates a mechanical wave that is picked up by the sensors in the wearables. The “Sensor Fusion” tech then combines this movement data collected from various sensors into an input command for the wearable.
Posted in neuroscience
Researchers at NTNU have managed to restore muscle function in older mice with muscle loss using advanced gene therapy. The hope is that this method might eventually be used on humans to prevent severe loss of muscle mass.
“Gene therapy is the most effective method to be able to give these people the same health benefits you normally get with physical exercise,” says Moreira, who has been involved in the new research. He is part of the Cardiac Exercise Research Group (CERG).
With age comes experience. And with experience come sore backs, tired bones, and increased risks from a large number of diseases.
Scientists have long been trying figure out how to stop these aches and pains in our twilight years, and to make us live longer and healthier lives at the same time.
While it’s likely a long way off from being ready for humans, a new study investigating the long-term ‘partial reprogramming’ of cells in mice appears to have produced some very intriguing results.
Circa 2014
New research on nanoparticles shows that they could be used to encode information when suspended in a liquid. This could one day allow us to store vast amounts of data in a very small volume of “digital colloid.”
Circa 2015
Stanford bioengineer Manu Prakash and his students have developed a synchronous computer that operates using the unique physics of moving water droplets.
Computers and water typically don’t mix, but in Manu Prakash’s lab, the two are one and the same. Prakash, an assistant professor of bioengineering at Stanford, and his students have built a synchronous computer that operates using the unique physics of moving water droplets.
