Well; US DoE and EPA has already been using AI for a very, very long time in monitoring and proactively acting on any waste release. How do I know? I was one of the lead architects and developers of the solution.
As computers get smarter, scientists look at new ways to enlist them in environmental protection.
Nice; however, I see also 3D printing along with machine learning being part of any cosmetic procedures and surgeries.
With an ever-increasing volume of electronic data being collected by the healthcare system, researchers are exploring the use of machine learning—a subfield of artificial intelligence—to improve medical care and patient outcomes. An overview of machine learning and some of the ways it could contribute to advancements in plastic surgery are presented in a special topic article in the May issue of Plastic and Reconstructive Surgery®, the official medical journal of the American Society of Plastic Surgeons (ASPS).
“Machine learning has the potential to become a powerful tool in plastic surgery, allowing surgeons to harness complex clinical data to help guide key clinical decision-making,” write Dr. Jonathan Kanevsky of McGill University, Montreal, and colleagues. They highlight some key areas in which machine learning and “Big Data” could contribute to progress in plastic and reconstructive surgery.
Machine Learning Shows Promise in Plastic Surgery Research and Practice
Machine learning analyzes historical data to develop algorithms capable of knowledge acquisition. Dr. Kanevsky and coauthors write, “Machine learning has already been applied, with great success, to process large amounts of complex data in medicine and surgery.” Projects with healthcare applications include the IBM Watson Health cognitive computing system and the American College of Surgeons’ National Surgical Quality Improvement Program.
Nice
Put yourself in the Pentagon – it’s “take a random civilian to work” day or something. You’re sitting with an Army general brooding over future land wars, as is their wont.
“Our combat vehicles need to be tougher to take the big hits from new weaponry!” he says.
Then a smarmy research guy chimes in.
Lookout Silicon Valley — FDA is here. I do suggest tech companies working on technologies that enhances or alters any bio living things to ensure that your certifications, processes are well defined and govern, and in some cases the engineers, etc. will need some level of a medical background and certifications as well. Why many have stated that future engineers and technologists will need a bio background through education, etc.
Helmy Eltoukhy’s company is on a roll. The start-up is a leading contender in the crowded field of firms working on “liquid biopsy” tests that aim to be able to tell in a single blood draw whether a person has cancer.
Venture investors are backing Guardant Health to the tune of nearly $200 million. Leading medical centers are testing its technology. And earlier this month, it presented promising data on how well its screening tool, which works by scanning for tiny DNA fragments shed by dying tumor cells, worked on an initial group of 10,000 patients with late-stage cancers.
Just one thing is holding the company back: Guardant Health has yet to get approval from Food and Drug Administration.
Not only Google; there is Huawei and their AR contacts and Samsung are also making AR Contacts. And, the news 3 weeks ago shows that Samsung has applied for their own patent.
Google has filed a patent for what sounds like a bionic eye.
A patent filed in 2014 and published Thursday describes a device that could correct vision without putting contacts in or wearing glasses everyday.
But to insert the device, a person must undergo what sounds like a rather intrusive procedure.
The moon has three large seas and a number of smaller lakes connected by rivers and rivulets located in its northern hemisphere, and one large lake in the south. NASA researchers previously believed the liquid to be ethane, which is produced when “sunlight breaks methane molecules apart”, said Alice Le Gall, a member of the Cassini radar team who led the study into the makeup of the moon’s liquid reservoirs.
Using radar observations of the heat given off by Ligeia Mare, as well as data from a 2013 experiment that bounced radio signals off of the sea, the team determined the compositions of the liquid sea and the sea bed by separating each of their contributions to the sea’s observed temperature.
This image from Cassini shows Ligeia Mare, the second largest known body of liquid on Titan.
