Artificial Intelligence is dubbed as the future and is expected to play a huge role in the HR industry. There are various startups and companies across the globe, which have launched products in the similar segment. Email software like'Zoho mail'; companies like'Workcompass' which came out with a performance management software and is doing very well. The target audience would be "Organisations with more than 100 employees". Most of the employee assessment today is done by managers, that leads to complete focus on "the person," with the possibility of bias and complexities because of reasons including their personal "traits" or behaviours.

Last week we covered the past and current state of artificial intelligence -- what modern AI looks like, the differences between weak and strong AI, AGI, and some of the philosophical ideas about what constitutes consciousness. Weak AI is already all around us, in the form of software dedicated to performing specific tasks intelligently. Strong AI is the ultimate goal, and a true strong AI would resemble what most of us have grown familiar with through popular fiction. Artificial General Intelligence (AGI) is a modern goal many AI researchers are currently devoting their careers to in an effort to bridge that gap. While AGI wouldn't necessarily possess any kind of consciousness, it would be able to handle any data-related task put before it.

I have been tracking diffusion of workflow technology into healthcare for over two decades. Since 2011 I've annually searched every HIMSS conference exhibitor website for workflow-related material. I've seen emphasis on workflow go from very little to a lot, and mentions of workflow engines and business process management (BPM) go from almost zero to substantial. This kind of workflow technology has been around for decades outside of healthcare. It is finally flowing into healthcare and health IT in a big way.

Apple has joined the business group for wireless charging, lending credence to rumours that the new iPhone will feature the technology. Rumours have swirled for years that Apple has been looking to embrace the technology, which gets rid of charging cables. But it has never actually appeared in any of its products, with the exception of the Apple Watch. But the iPhone 8 – expected to be released later this year – might finally bring the technology, according to various rumours. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

Security analysts at IBM X-Force Command Centers are now using Watson. IBM keeps doubling down on Watson, the company's heavily-marketed cognitive software that has won Jeopardy! Watson for Cyber Security, announced by IBM on Monday, takes the same core capabilities of Watson--the ability to read millions of documents and terabytes of information to derive insights a human might not spot--and puts them into a security operations center. With security officers at large corporations sometimes scanning several hundreds of thousands of events happening over their networks each day, IBM says it can add another line of defense by proactively helping to spot breaches and hacking attempts that might slip through unnoticed, then making suggestions on the best response. "This is breaking new ground," says Mark van Zadelhoff, general manager of IBM Security.

What is a typical day like working on a self driving car as a full-time job? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world. I work as a research scientist on autonomous vehicles, researching problems related to 3D object localization and SLAM. Apart from research, I am also responsible for creating production quality code that our product team can test and integrate. Most of my typical day looks like any other software engineer or data scientist's work day: hacking code, analyzing results on pre-recorded datasets, talking to colleagues about the code we have committed. For instance, two problems I am working on these days are getting precise and smooth (that don't vary a lot from frame to frame) orientation estimates for other cars on the road as seen from a passive camera, and on trying to squeeze our entire software stack on limited mobile computational platforms.

Put a tray of water in the freezer. And then--boom--the molecules stack into little hexagons, and you've got ice. Those drastic alterations in physical properties are called phase transitions, and physicists love them. It's as if they could spot the exact instant Dr. Jekyll morphs into Mr. Hyde. If they could just figure out exactly how the upstanding doctor's body metabolized the secret formula, maybe physicists could understand how it turns him evil.

So why exactly are AI researchers building complex systems to generate slightly wonky-looking pictures of bedrooms? The idea is that if you can generate pictures of something, you must have an understanding of it. You instantly know this is a picture of a dog -- a furry thing with four legs and a tail. But to a computer, the picture is just a grid of numbers representing the color of each pixel. The computer has no understanding that the picture represents a concept.

Chatbots aren't as "inhuman" as you might believe them to be. Chatbots cannot be human, but they can think and respond to queries like humans do. This is happening in a medium (text messages) which is emerging as the next big platform for information exchange after voice. With advances in Artificial Intelligence (AI) and Natural Language Processing (NLP) capabilities, machine learning code can now understand queries just like humans do. More importantly the code learns from every interaction that it does and grows its skills to handle further conversations!

Artificial intelligence, machine learning, cognitive computing, deep learning, and related terms have become interchangeable jargon referring to AI. Although it's hard to believe, the level of marketing hype around AI has even surpassed digital transformation. To break through the hype and nonsense, I asked the Chief Data Scientist of Dun and Bradstreet to explain AI in straightforward business terms. It's a complicated assignment, so I went to Anthony Scriffignano, one of the smartest, most accomplished data scientists I know. Anthony is a brilliant communicator, making him an ideal candidate to explain AI.