Monthly Archives: August 2017

Her AI-enabled "Eyeagnosis" system uses a smartphone app and a 3D-printed lens to diagnose diabetic retinopathy 3Aug

Georgia Tech's robot can step in with ethical advice when a relationship gets complicated 27Jul

Neural nets and robotic harnesses can aid patients after spinal cord injury, stroke 19Jul

Videos of Barack Obama made from existing audio, video of him 12Jul

To respond to a plague of drones, airports and other venues deploy AI systems to track and identifyintruders 28Jun

A dataset of 6.7 million robust point clouds and grasps can train your neural network to reliably pick up objects 27Jun

A GPU-based neural network was the only way to handle a garage full of Lego 23Jun

It may be more than youd like 23Jun

Intel says its new Olympics sponsorship is about changing the experience for the digital generation 21Jun

The preliminary work for simulating the human brain is already under way 21Jun

Nearly 400 teams have already signed up to create an AI with true generalized intelligence 21Jun

Georgia Tech's Shimon has analyzed thousands of songs and millions of music clips and can now compose completely original music 14Jun

Affectivas Rana El-Kaliouby says our devices need to get a lot more emotionally intelligent 13Jun

At the intersection of two challenging computational and technological problems may lie the key to better understanding and manipulating quantum randomness 13Jun

If machine learning systems can be taught using simulated data from Grand Theft Auto V instead of data annotated by humans, we could get to reliable vehicle autonomy much faster 8Jun

DeepMind's training data set of 300,000 YouTube clips finds AI struggles to recognize actions such as eating doughnuts or face-planting 8Jun

Adversarial grasping helps robots learn better ways of picking up and holding onto objects 5Jun

Reverse engineering 1 cubic millimeter of brain tissue could lead to better artificial neural networks 30May

The FDA needs computer experts with industry experience to help oversee AI-driven health apps and wearables software 29May

The prototype chip learns a style of music, then composes its own tunes 23May

Crashing into objects has taught this drone to fly autonomously, by learning what not to do 10May

Silicon Valley startup Verdigris cloud-based analysis can tell whether youre using a Chromebook or a Mac, or whether a motor is running fine or starting to fail 3May

An artificial intelligence program correctly identifies 355 more patients who developed cardiovascular disease 1May

MITs WiGait wall sensor can unobtrusively monitor people for many health conditions based on their walking patterns 1May

Facebook's Yael Maguire talks about millimeter wave networks, Aquila, and flying tethered antennas at the F8 developer conference 19Apr

Machine learning uses data from smartphones and wearables to identify signs of relationship conflicts 18Apr

Machine-learning algorithms that readily pick up cultural biases may pose ethical problems 13Apr

AI and robots have to work in a way that is beneficial to people beyond reaching functional goals and addressing technical problems 29Mar

Understanding when they don't understand will help make robots more useful 15Mar

Palo Alto startup twoXAR partners with Santen Pharmaceutical to identify new glaucoma drugs; efforts on rare skin disease, liver cancer, atherosclerosis, and diabetic nephropathy also under way 13Mar

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Artificial Intelligence News & Articles - IEEE Spectrum

Facebook has been working on artificial intelligence that claims to be great at negotiating, makes up its own language and learns to lie.

OMG! Facebook must be building an AI Trump! Art of the deal. Biggest crowd ever. Cofveve. Beep-beep!

This AI experiment comes out of a lab called Facebook Artificial Intelligence Research. It recently announced breakthrough chatbot software that can ruthlessly negotiate with other software or directly with humans. Research like that usually gets about as much media attention as a high school math bee, but the FAIR project points toward a bunch of intriguing near-term possibilities for AI while raising some creepy concernslike whether it will be kosher for a bot to pretend it is human once bots get so good you cant tell whether theyre code or carbon.

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AI researchers around the world have been working on many of the complex aspects of negotiation because it is so important to technologys future. One of the long-held dreams for AI, for example, is that well all have personal bot-agents we can send out into the internet to do stuff for us, like make travel reservations or find a good plumber. Nobody wants a passive agent that pays retail. You want a deal. Which means you want a badass bot.

There are so many people working on negotiating AI bots that they even have their own Olympicsthe Eighth International Automated Negotiating Agents Competition gets underway in mid-August in Melbourne, Australia. One of the goals is to encourage design of practical negotiation agents that can proficiently negotiate against unknown opponents in a variety of circumstances. One of the leagues in the competition is a Diplomacy Strategy Game. AI programmers are anticipating the day when our bot wrangles with Kim Jong Uns bot over the fate of the planet while Secretary of State Rex Tillerson is out cruising D.C. on his Harley.

Artifical Intelligence is no longer a futuristic concept. Bots can already debate, negotiateand lielike humans. Isaac Lawrence/AFP/Getty

As the Facebook researchers point out, todays bots can manage short exchanges with humans and simple tasks like booking a restaurant, but they arent able to have a nuanced give-and-take that arrives at an agreed-upon outcome. To do that, AI bots have to do what we do: make a mental model of the opponent, anticipate reactions, read between the lines, communicate in fluent human language and even throw in a few bluffs. Facebooks AI had to figure out how to do those things on its own: The researchers wrote machine-learning software, then let it practice on both humans and other bots, constantly improving its methods.

This is where things got a little weird. First of all, most of the humans in the practice sessions didnt know they were chatting with bots. So the day of identity confusion between bots and people is already here. And then the bots started getting better deals as often as the human negotiators. To do that, the bots learned to lie. This behavior was not programmed by the researchers, Facebook wrote in a blog post, but was discovered by the bot as a method for trying to achieve its goals. Such a trait could get ugly, unless future bots are programmed with a moral compass.

The bots ran afoul of their Facebook overlords when they started to make up their own language to do things faster, not unlike the way football players have shorthand names for certain plays instead of taking the time in the huddle to describe where everyone should run. Its not unusual for bots to make up a lingo that humans cant comprehend, though it does stir worries that these things might gossip about us behind our back. Facebook altered the code to make the bots stick to plain English. Our interest was having bots who could talk to people, one of the researchers explained.

The bots ran afoul of their Facebook overlords when they started to make up their own language to do things faster. Dado Ruvic/Reuters

Outside of Facebook, other researchers have been working to help bots comprehend human emotions, another important factor in negotiations. If youre trying to sell a house, you want to model whether the prospective buyer has become emotionally attached to the place so you can crank up the price. Rosalind Picard of the Massachusetts Institute of Technology has been one of the leaders in this kind of research, which she calls affective computing. She even started a company, Affectiva, thats training AI software in emotions by tracking peoples facial expressions and physiological responses. It has been used to help advertisers know how people are reacting to their commercials. One Russian company, Tselina Data Lab, has been working on emotion-reading software that can detect when humans are lying, potentially giving bot negotiators an even bigger advantage. Imagine a bot that knows when youre lying, but youll never know when it is lying.

While many applications of negotiating botslike those personal-assistant AI agentssound helpful, some seem like nightmares. For instance, a handful of companies are working on debt-collection bots. Describing his companys product, Ohad Samet, CEO of debt-collection AI maker TrueAccord, told American Banker , People in debt are scared, theyre angry, but sometimes they need to be told, Look, this is the debt and this is the situation, we need to solve this. Sometimes being too empathetic is not in the consumers best interest. It sounds like his bots are going to negotiate by saying, Pay up, plus 25 percent compounded daily, or we make you part of a concrete bridge strut.

Put all of these negotiation-bot attributes together and you get a potential monster: a bot that can cut deals with no empathy for people, says whatever it takes to get what it wants, hacks language so no one is sure what its communicating and cant be distinguished from a human being. If were not careful, a bot like that could rule the world.

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How Facebook's AI Bots Learned Their Own Language and How to Lie - Newsweek

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Ever wanted to dress up like a celebrity? Or maybe you wanted to own attire, which you recently saw someone wearing but didnt know where to get it from? Artificial Intelligence is the technology you need. This tool identifies your clothes and finds the place where you can buy it from.

Gurgaon-based start-up Staqu Technologies Pvt. Ltd is redefining image search through AI. Launched in 2015 by Co-founders Anurag Saini, Chaitan Rexwal, Pankaj Sharma and Atul Rai, the start-up utilizes state-of-the-art deep learning technologies to provide precise, reverse image search solutions.

The search engine is designed to retrieve exact matches from the indicated database for an input image. Various algorithms like content, color, shape and texture are extracted and fused together to provide visual search solutions for various e-commerce businesses in the field of fashion, housing, medicine etc.

In a chat with Entrepreneur India, Atul Rai, also the CEO of Staqu explained how AI is making fashion images searches simpler.

Over 70 per cent of the content of e-commerce sites is images. Very few companies like Google, Microsoft and Facebook are using AI in images. Every company, be it an original equipment manufacturer (mobile companies) or e-commerce, is generating certain kind of data. We are trying to extract information from that image data and decode it for different purposes, Rai said.

AI Image Search

Rai said most people dont find a product similar to what they have seen on TV or found someone wearing it, in the market. Using this technology, one can actually spot the same outfit online at a different price.

Lets take the example of the e-commerce space. Suppose you want to buy an attire which an actress owns, its difficult for you to get the same as human brain cant describe the design in words. This is where the role of image data comes into play. You can take a picture of the dress you want and find out a similar dress based on the pixel information instead of text information, he stressed.

Rais start-up is selling the technology to e-commerce companies and mobile phone brands to integrate the same within the mobile phone camera.

We have joined hands with a company that has launched cell phones called Karbonn Fashion Eye and Aura Note2 which use our image search feature. We are also working with smartphone brands like Intex and Panasonic, he added.

How Staqu Knows a Particular Brand

Elaborating the role of AI in Staqu , Rai stressed that image search was not the only segment in which they are working right now. The start-up is offering various services like visual search, automated meta-tag generation, visual recommendation, real time video processing etc.

If you go to Flipkart and look for any dress of a particular brand, the brand name is a text which has to be there. For that, a lot of companies are putting human curators, and it is turning out to be very costly affair. As for every product you have to put some tags for the ease of searching them. This is where AI services are required, where you just have to upload the image and start generating relevant tags for that particular product," he said.

Rai concluded by sharing a useful advice to aspiring entrepreneurs, who are looking to lead the race in the artificial intelligence segment. To start something in AI one should have skill and experience because you need to have the knowledge of understanding the type of technology that can solve a specific issue," he said.

A self confessed Bollywood Lover, Travel junkie and Food Evangelist.I like travelling and I believe it is very important to take ones mind off the daily monotony .

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This AI Start-up Will help You Ape Celeb Fashion Trends - Entrepreneur