One of many lessons around AI?
A class of students at the Georgia Institute of Technology recently learned that Jill Watson, the teacher’s assistant they’d been interacting with all semester, was actually a robot.
Jill, powered by IBM’s Watson analytics system, helped graduate students in an online artificial intelligence course, according to The Wall Street Journal.
“It seemed very much like a normal conversation with a human being,” one student said. “I was flabbergasted,” confessed another.
Next time you go for a brain scan; you could actually see dissolvable electrodes.
Hmmm
Scientists at the University of Pennsylvania in a study funded by the Defense Advance Research Projects Agency (DARPA) are developing implantable electrodes for brain monitoring that melt away at a predetermined rate. The devices could come in handy for monitoring and treating certain neurophysiological disorders such as Parkinson’s, depression and chronic pain.
The electrodes, which are made from layers of silicon and a chemical element, molybdenum, dissolve at a known rate according to thickness. The devices can provide “continuous streams of data for guiding medical care over predetermined periods of time,” Brian Litt, senior co-author on the study and a professor of neurology, neurosurgery and bioengineering at UPenn, said in a statement.
I wonder if this would qualify as a turing test.
Lalith Polepeddi, a (human) teaching assistant and researcher on the Jill Watson project at the Georgia Institute of Technology.
Photo:
Lalith Polepeddi.
“I have been accused of being a computer,” says TA Lalith Polepeddi, a computer-science master’s student who was needled for responding to messages with lightning speed. “I don’t take it personally.”
The troubling piece of this article is that the article leaves out how the underlying technology will need to change in order for AI to truly intertwine with humans. AI in the existing infrastructure and digital technology with no support of BMI, microbots, etc. will not evolve us to Singularity by itself and without changes to the existing digital landscape.
As artificial intelligence continuously evolves, the future of AI is also becoming more significantly challenging to perceive and comprehend for humans.
Samsung get into the cancer treatment space with their own Q-Dot technology? Another reason for the FDA to show up in tech’s backyard; lookout for all those future federal and state regs & compliance training that will be coming that eats up 20 hours each month of your scientists and engineering talent’s time.
For a lot of users, Samsung might be known best for their smartphones and other mobile devices, but the company is so much more than that. Many of you reading this might have one of Samsung’s Super HD TV sets, a curved Samsung TV or some other model of theirs. Next to smartphones one of their more popular consumer electronics is of course of TVs, and with the advent of new technology such as Quantum Dot, Samsung is getting even better at producing a great image. One area that you might expect to find this Quantum Dot technology being used is for medical uses, but that’s just what researchers have been exploring recently.
Explaining a Quantum Dot can become quite tricky, but to cut a long story short, they are semiconductors that are so small they register at the nanoscale side of things. In terms of Quantum Dots used in television displays, it’s their ability to precisely tune to a specific and exact part of the color spectrum that makes them so attractive, not to mention their much lower power draw. Now, Kim Sung-jee, a professor of the Chemistry department at Pohang University of Science and Technology (POSTECH), has said that “when combining protein which clings to cancer cells and quantum dots, it can be used to seek out cancer cells in the body”. It’s reasoned that the potential for these Quantum Dots to be so precise in terms of color reproduction can help physicians track down certain cancer cells.
Myung Seung-jae, chief director of Biomedical Research Center at Asan Institute for Life Sciences who joined Professor Kim in researching Quantum Dots to fight cancer, said that when a test was ran on animals with Cancer cells in their bodies drugs with Quantum Dots “attacked only cancer cells. When quantum dots meet cancer cells, they detect the change of potential of hydrogen (pH) and anti-cancer drugs”. So, while it seems a long way off, it looks like the same technology that makes for a more accurate and engaging picture for your TV could be used in order to fight cancer or at least better identify types of Cancer and how to combat them inside of the body.
Creating Q-Dots/ QDs (Acronym seems to depend on which reference book, article that you read) more cheaply and efficiently too.
Quantum dots (QDs) are semiconducting nanocrystals prized for their optical and electronic properties. The brilliant, pure colors produced by QDs when stimulated with ultraviolet light are ideal for use in flat screen displays, medical imaging devices, solar panels and LEDs. One obstacle to mass production and widespread use of these wonder particles is the difficulty and expense associated with current chemical manufacturing methods that often requiring heat, high pressure and toxic solvents.
But now three Lehigh University engineers have successfully demonstrated the first precisely controlled, biological way to manufacture quantum dots using a single-enzyme, paving the way for a significantly quicker, cheaper and greener production method. Their work was recently featured in an article in The New York Times called “A curious tale of quantum dots.”
The Lehigh team— Bryan Berger, Class of 1961 Associate Professor, Chemical and Biomolecular Engineering; Chris Kiely, Harold B. Chambers Senior Professor, Materials Science and Engineering and Steven McIntosh, Class of 1961 Associate Professor, Chemical and Biomolecular Engineering, along with Ph.D. candidate Li Lu and undergraduate Robert Dunleavy—have detailed their findings in an article called “Single Enzyme Biomineralization of Cadmium Sulfide Nanocrystals with Controlled Optical Properties” published in the Proceedings of the National Academy of Sciences (PNAS).
Great article about a mad-scientist whose vision caused the world to look cross-eyed. Many of us have been there before some time in our lives.
In 1981, Richard Feynman urged the world to build a quantum computer. In his own words.
“Nature isn’t classical, dammit, and if you want to make a simulation of nature, you’d better make it quantum mechanical, and by golly it’s a wonderful problem, because it doesn’t look so easy.”
