Minimum wage for a robot? $0/hour. Maximum wage? $0/hour.
(From Fox)
Eatsa, the mostly automated healthy, fast food bowl shop based in San Francisco, has inspired the CEO of Carl’s Jr. and Hardee’s to rethink the traditional workforce—by replacing all humans with robots.
Eatsa allows customers to order food without any human interaction. (Eatsa)
This one kind of gives me the heebie geebies.
DNA sequencing of the deceased could lead to a number of advances in health care. A group of scientists in Denmark have launched a proposal to create the world’s first national necrogenomic database.
The idea that dead men tell no tales is about to be seriously put to shame, should a newly suggested DNA registry in Denmark become reality.
The registry would collect genomic data from the recently deceased. Coupled with information of past illnesses and ailments, the new data could generate insights into hereditary diseases, genomic disease triggers, and drug efficiency.
Scientists at Tel Aviv University in Israel have developed a “cyborg heart patch” for replacing injured cardiac tissue. There has been considerable research on creating scaffolds seeded with cardiac cells, but simply delivering a bunch of cells in a neat package produces underwhelming results. The new patch developed at TAU integrates electronics alongside the cellular scaffold to both monitor and influence the activity of the cells.
The device can record intercellular electrical activity and deliver pulses to make the cardiomyocytes contract to a defined beat. Additionally, the researchers demonstrated that the electrodes within the patch can be covered with drugs to provide controlled release of medication right to the nearby heart cells.
This is certainly an impressive achievement that may herald a truly therapeutic approach for treating cardiac infarcts and other conditions of the heart.
Yesterday, a report came from a tech company in Asia that they are proposing to do Quantum teleporting on humans. So, we have that camp; today we have the other camp with this article stating to do so means death. Personally, I have my doubts around humans or animals of any sort being able to teleport like Star Trek; great concept. However, to do so means breaking down your make up into particles and hopefully without killing you, the particles transport and reassemble themselves and everything remains healthy and functioning. Wish the test subjects all the best.
Remember last week’s video about the trouble with Star Trek’s transporter (a.k.a. a “suicide box”) by CGP Grey, delving into whether the teleported version of yourself would really be, well, you? Henry Reich of Minute Physics has posted a video response with his own resolution to the logical paradox.
You know what means… NERD FIGHT!
Okay, not really. They agree on many of the particulars. But the original video didn’t cover one important element to the problem of teleportation: the no-cloning theorem of quantum mechanics. As Reich explains:
LONDON & MIAMI–(BUSINESS WIRE)–Blue Prism, the pioneering developer of enterprise Robotic Process Automation (RPA) software, today announced its debut on AIM of the London Stock Exchange (LSE). The first developer of software robots to trade on the public markets, Blue Prism, working closely with its global network of partners, grew 35% last year and has deployments with more than 74 customers, including a number of the world’s largest banks, insurers, utilities, healthcare, telecommunications, service providers and other regulated industries. The initial public offering (IPO) will allow Blue Prism to support its global growth plans and enhance its profile within the RPA marketplace.
“Today’s milestone follows a successful year for the company, and marks a shift in acceptance for software robots as a mainstream choice for the enterprise digital workforce,” said Alastair Bathgate, co-founder and CEO of Blue Prism. “Software robots have been deployed successfully and strategically by large, blue chip organizations that have derived tremendous value from this new solution to the labor market, it’s not science fiction.”
Finally there’s a use for dog drool: this spring, a new startup called Embark plans to launch a DNA testing kit for dogs that will tell owners about their canine’s ancestry, and disease risk. That’s not all the founders have in mind though; they may be aiming at human diseases by enlisting our longtime best friends.
Soon, interested pooch lovers will be able to swab their dogs’ slimy cheeks and mail in the sample. By extracting DNA from the swab, Embark’s founder says they’ll be able to trace a dog’s ancestry on a global level. The “Embark Dog DNA Test Kit” will also look for genetic variants that are associated with more than 100 diseases, and inform owners if their dog has a higher than average chance of developing one of them. The kit will also tell owners if their dog is likely to pass disease-associated mutations to a pup — which will likely be valuable information for breeders. Because of this, Embark’s founders say their product will be the most complete kit of its kind. At least, that’s the idea that Embark’s founders will be pitching today at SXSW.
For the company’s founders, the real objective will be the research they’ll be able to conduct with the DNA samples; that became clear when I spoke to two of Embark’s founders on the phone last week. They spent the first 10 minutes of the call talking about the potential of dog genetics to deliver advancements in human health. In fact, they were so enthusiastic about their future research that I had to interrupt them to steer the conversation back to the product we were supposed to discuss.
CHAMPAIGN, Ill. — A new class of miniature biological robots, or bio-bots, has seen the light — and is following where the light shines.
The bio-bots are powered by muscle cells that have been genetically engineered to respond to light, giving researchers control over the bots’ motion, a key step toward their use in applications for health, sensing and the environment. Led by Rashid Bashir, the University of Illinois head of bioengineering, the researchers published their results in the Proceedings of the National Academy of Sciences.
“Light is a noninvasive way to control these machines,” Bashir said. “It gives us flexibility in the design and the motion. The bottom line of what we are trying to accomplish is the forward design of biological systems, and we think the light control is an important step toward that.”
SENS has kindly commented about MMTP and the impact our research should have on aging. We launch a fundraiser in April to test senolytics (ApoptoSENS) with a planned follow up to combine this with stem cell therapy (RepleniSENS). It is time to put the engineering approach to aging to the test!
Some drugs tested have been found to increase mouse lifespan such as Metformin and Rapamycin for example and are considered for human testing. Many more substances have never been tested and we do not know if they might extend healthy lifespan.
Another data scientist with pragmatic thinking which is badly needed today. Keeping it real with Una-May O’Reilly.
Mumbai: Una-May O’Reilly, principal research scientist at Anyscale Learning For All (ALFA) group at the Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory, has expertise in scalable machine learning, evolutionary algorithms, and frameworks for large-scale, automated knowledge mining, prediction and analytics. O’Reilly is one of the keynote speakers at the two-day EmTech India 2016 event, to be held in New Delhi on 18 March.
In an email interview, she spoke, among other things, about how machine learning underpins data-driven artificial intelligence (AI), giving the ability to predict complex events from predictive cues within streams of data. Edited excerpts:
When you say that the ALFA group aims at solving the most challenging Big Data problems—questions that go beyond the scope of typical analytics—what do you exactly mean?
Typical analytics visualize and retrieve direct information in the data. This can be very helpful. Visualizations allow one to discern relationships and correlations, for example. Graphs and charts plotting trends and comparing segments are informative. Beyond its value for typical analytics, one should also be aware that the data has latent (that is, hidden) predictive power. By using historical examples, machine learning makes it possible to build predictive models from data. What segments are likely to spend next month? Which students are likely to drop out? Which patient may suffer an acute health episode? Predictive models of this sort rely upon historical data and are vital. Predictive analytics is new, exciting and what my group aims to enable technologically.
