In 2011, 'supercomputer' Watson beat human contestants in a quiz game show Jeopardy!, sparking speculation on whether machines would one day replace human beings in the workforce. In the last six years, Watson has come a long way. It is now a cognitive technology platform that uses natural language processing and machine learning to reveal insights from unstructured data. For example, it can assist doctors by recommending possible diagnosis and lines of treatment. Sriram Raghavan, Director of India Research Labs, IBM, spoke recently on the rapidly evolving cognitive technology, and how it is being applied in different areas.

Earlier this month we had CES 2017 in Las Vegas, a techie's mecca of new whiz-bang products set to hit the market, in some cases later this year, but in others in 2018 and beyond. A person tracking the CES trade shows over the years likely remembers the changes in inputs from clunky keyboards and standalone number pads to rollerball driven mice to laser based ones, which gave way to trackpads and touchscreen technology. Among the sea of announcements this year, there were a number that focused on one aspect of our Disruptive Technology investing theme that is shaping up to be the next big change in interface technology -- voice recognition technology. Over the years, there have been a number of fits and starts with voice technology dating all the way back to 1992 when Apple's own "Casper" voice recognition system that then CEO John Sculley debuted on "Good Morning America." As the years have gone by and the technology has been further refined, we've seen more uses for voice recognition technology in a variety of applications and environments ranging from medical offices to interacting with a car's infotainment system.

Corporate venture capital (CVC) is an investment by a corporate (fund) into external startups in order to make a financial return or to gain a competitive advantage. CVC is a polarizing subject and opinions are divided. Fred Wilson from Union Square Ventures believes that it's evil and corporates should not invest in startups but simply buy them. While Marc Andreessen from Andreessen Horowitz on the other hand is co-investing with corporations such as General Electric. Whatever the opinions are, fact is that CVC is on the rise, also in the old continent.

Have you ever spent time at work looking at something on your monitor that isn't work related? Afraid your boss might catch you? A programmer with the same problem built Boss Sensor, a system that uses deep learning AI to switch your screen to something work-related when your boss is near. Hiroki Nakayama explains Boss Sensor in a post on the blog Ahogrammer. First, he trained a convolutional neural network (CNN) to recognize his boss's face.

He enrolled in the NYC Data Science Academy 12-week full time Data Science Bootcamp program taking place between July 5th to September 23rd, 2016. This post is based on their third project - Web Scraping, due on 6th week of the program. The original article can be found here. The eBook business is thriving. The likes of Amazon Kindle, Apple iBookstore, and Google eBookstore all provide a robust variety of channels by which to publish any eBook on any subject you could think of.

Frey is a co-founder of Deep Genomics, a professor at the University of Toronto and a co-founder of its Machine Learning Group, a senior fellow of the Neural Computation program at the Canadian Institute for Advanced Research, and a fellow of the Royal Society of Canada. My team studied learning and inference in deep architectures, using algorithms based on variational methods, message passing, and Markov chain Monte Carlo (MCMC) simulation. My group's approach was inspired by Beer and Tavazoie's work, but differed in three ways: we examined mammalian cells, we used more advanced machine learning techniques, and we focused on splicing instead of transcription. We built a framework for extracting biological features from genomic sequences, pre-processing the noisy experimental data, and training machine learning techniques to predict splicing patterns from DNA.

Click here to see this entire deck on SlideShare. We are currently tracking 1500 Artificial Intelligence companies in 13 categories across 73 countries, with a total of $9.1 Billion in funding. Click here to learn more about the full Artificial Intelligence landscape report and database.

Shivaram Kalyanakrishnan is an assistant professor in the department of computer science and engineering at the Indian Institute of Technology-Bombay. He specialises in artificial intelligence (AI) and is the only author from India who is part of an 18-member study panel of the Stanford University-hosted report titled Artificial Intelligence and Life. Kalyanakrishnan's expertise broadly fits in the area of machine learning. Called reinforcement learning, it defines what actions software agents should take to maximize a certain type of reward after learning from reward and punishment. In an interview, he urges people to be more optimistic about the things AI can do rather than be obsessed with the fear around AI machines.

Guy Gecht, EFI's CEO, typically includes a thought leadership segment in his opening talk. In 2017, he put the industry on notice that artifice intelligence is almost upon us, with a convergence of technology and market demand that will bring this to mainstream in the foreseeable future. Artificial intelligence (AI) is a technology that will have an impact on the printing industry, and printing owners and managers should keep tabs on its progress, understanding both eh risks and the opportunities for their businesses. Color management works, and it has been available to designers and printers for more than 25 years. Why then do we still make mistakes in color reproduction?

Many have speculated if the advent of artificial intelligence (AI) signals the beginning of the end of content management as we know it. But AI can give your web CMS new life and make it much richer. After all, the best ideas often come from our darkest dreams. Think Amazon's Echo speakers and Alexa assistant, Google's Allo messenger or IBM's Watson supercomputer. You already know this brave new world of self-driving cars, self-flying drones, virtual butlers running households and sensors to monitor hospital patients.