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Category: robotics/AI – Page 2,479

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.

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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.”

Student Barric Reed, an analytics consultant at Accenture, ACN −0.07 % is embarrassed he didn’t pick up on the trick—for good reason.

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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.

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At TechCrunch’s Disrupt NY, Siri creator Dag Kittlaus performed the first public demo of Siri’s new cousin, Viv. Kittlaus described the brains of Viv as, “software that’s writing itself,” which is a pretty bold statement with some implications that call to mind the dreariest of Skynet dystopias. But what exactly makes it any better than Siri?

The fact is we don’t yet know how good this new voice assistant will be, but we can reflect a little bit on what we see during the controlled demo in the video below. For starters, Viv is designed to integrate seamlessly with third party apps, which is a major deficit on Siri’s part. The new AI was able to send money via Venmo, book a room through Hotels.com, and hail a cab from Uber. And it did so quickly and with no apparent hassle. Kittlaus later in the presentation described Viv as a “marketplace” that he saw as an improvement upon app stores.

Where Viv really shines is in its ability to parse complex questions. In one sample query, Kittlaus asked his robot, “will it be warmer than 70-degrees near the Golden gate bridge after 5pm the day after tomorrow?” which Viv was able to answer. We will update this post to reflect how wrong Viv was if it’s over 70 in San Fransisco later this week.

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Movidius’ Myriad 2 vision processing chip (Photo: Movidius)

The branch of artificial intelligence called deep learning has given us new wonders such as self-driving cars and instant language translation on our phones. Now it’s about to injects smarts into every other object imaginable.

That’s because makers of silicon processors from giants such as Intel Corp. and Qualcomm Technologies Inc. as well as a raft of smaller companies are starting to embed deep learning software into their chips, particularly for mobile vision applications. In fairly short order, that’s likely to lead to much smarter phones, drones, robots, cameras, wearables and more.

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This is concerning in what is being proposed in the US for doctor report errors and it’s whole timing. Why now? I mean why wait to report on this when this has been known about for many decades plus mistakes today are actually a lot less than they were 2 decades ago thanks to medical records, and the self-monitor/ medicated drip devices, etc. My guess is this is part of a huge push by some to replace doctors and medical teams with more AI which in the US patients have been blocking AI to treat them due to their own distrust of AI.

Now, if US Laws are in place requiring doctors to publish, report, etc. their errors for the 1st time in the US it does help build case to the public and conditions the public to rethink their position on AI.

I am just not buying “the experts’” report stats given that he has no official records to back up his report especially detail records for the past 40 years showing doctors openly reporting any mistakes they made in the 70s, 80s or 90s when the equipment was poorer plus medical records in many situations were not always digital and could be easily lost in the 70s and 80s.

Medical error is the third leading cause of death in the US after heart disease and cancer, say experts in The BMJ today.

Martin Makary and Michael Daniel at Johns Hopkins University School of Medicine in Baltimore say death certificates in the US have no facility for acknowledging medical error, and they call for better reporting to help understand the scale of the problem and how to tackle it.

Currently, death certification in the US relies on assigning an International Classification of Disease (ICD) code to the cause of death — so causes of death not associated with an ICD code, such as human and system factors, are not captured.

Continue reading “Medical error is third biggest cause of death in the US, say experts” | >

I do love and believe in the benefits of 3D printing; however, as a technologist and concerned informed citizen I do worry about this technology getting the hands of drug lords, terrorists, and other criminals. With Medical 3D printing; illegal drug manufacturing can change overnight and expanded to new levels of mass production. Also, illegal weapon production can be enhanced as well with 3D printing.

At this point, law enforcement in 1st and 2nd world countries are going to face harder times than they ever have in the recent past and before. 3D Printing and AI are truly going to take an already difficult situation for government and their law enforcement teams extremely tough in the coming 3 to 5 years; and hope they and tech come together to figure out a good go forward plan to ensure right benefits are received and progress not slowed down while keeping everyone safe.

Materialise incorporates more than 25 years of 3D printing experience into a range of software solutions and 3D printing services, which together form the backbone of the 3D printing industry. Materialise’s open and flexible solutions enable players in a wide variety of industries, including healthcare, automotive, aerospace, art and design, and consumer goods, to build innovative 3D printing applications that aim to make the world a better and healthier place.

Fried Vancraen, CEO of Materialise – recently called upon industry stakeholders to come to an agreement for a common standard for measuring the clinical, economical and patient benefits of medical 3D printing.

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Hmmm;

When Under Armor released a new, free fitness app, Record, last January, which uses IBM Watson to send you personalized fitness tips, I was pretty excited about it.

Under Armor owns some of my favorite fitness-tracking apps, especially MyFitnessPal.

I use MyFitnessPal to track my diet. That means I use it to verify that half of the time I’m eating fewer calories than I’m burning.

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