The reputation of SystemML is on the rise. This flexible machine learning system scales automatically to Spark and Hadoop clusters and offers faster analysis on fewer nodes -- with substantial improvements in accuracy. In this presentation from Spark Summit in June 2016, researcher Fred Reiss spells out use cases for custom ML algorithms -- across the spectrum from auto manufacturing to the Watson Health initiative.

Kriti Sharma is a Bot entrepreneur, evangelist and expert. Four years ago she helped to launch PingIt, the Barclays mobile payments app. Sharma has masters degree in advanced computer science from St Andrews University and created a big data engine whilst studying there. Four months ago Sharma joined Sage as Global Director, Mobile Product Management. Her first task has been to create an as yet unnamed Bot to help entrepreneurs run their business.

When you think of leaders in artificial intelligence, Netflix (NASDAQ:NFLX) doesn't usually jump to the top of the list. But the streaming video service's VP of Product Innovation Carlos Uribe-Gomez and Chief Product Officer Neil Hunt published a paper that says some of its AI algorithms save Netflix 1 billion each year. In their paper, the two Netflix execs detail how the company's recommendation engine impacts its churn rate. Netflix no longer reports its churn rate, but the paper notes that Netflix's "retention rates are already high enough that it takes a very meaningful improvement to make a retention difference of even 0.1%." Let's dive into how the recommendation engine saves Netflix money -- and what the return on investment looks like.

"AI is the new mobile" is a phrase we might as well start getting used to hearing. It's infuriating that, just as the marketing world finally starts to think "mobile first", not one but two technology giants signal loudly that they're over mobile and on to the next thing. Witness Google chief executive Sundar Pichai, who recently spoke about moving from a mobilefirst to an AI-first world. Make no mistake, he sees artificial intelligence as the future of search, best exemplified by what Google calls the Google assistant: less a product and more an artificially intelligent, conversational interface to all things Google. Earlier in the year, at Facebook's developer conference F8, Mark Zuckerberg made AI one of the three pillars of Facebook's ten-year roadmap (alongside – yes, you guessed it – connectivity and virtual reality).

Enfield Council has taken a step into the use of artificial intelligence in a deal with cognitive technology company IPSoft to use its Amelia virtual agent in supporting its services. The London borough plans to begin using the software during the autumn, providing the first role for the technology platform in a public sector organisation. A spokesperson for the council told UKAuthority: "The initial deployment will be to help people navigate the website more effectively, and free up time for customer service staff to handle the more complicated enquiries." Amelia is a cognitive agent for service desk roles that uses natural language to communicate with people. IPsoft claims it can analyse language, understand context, apply logic, learn through observation, determine what actions to take to resolve problems and sense emotions.

Tambe's systems provided measurable outcomes that prove A.I. can be more efficient in managing patrol schedules than a lone human decision-maker. After LAX security officials implemented Tambe's first software system, called ARMOR, they saw an immediate, five-fold increase in the seizure of weapons, drugs and more. In 2013, a study by Los Angeles Metro found a 66 percent increase in the number of fare jumpers on L.A.'s subways. ARMOR was even adapted for the U.S. Coast Guard to catch illegal fishers in the Gulf of Mexico. ARMOR-FISH, tested in 2014, located illegal activities, though funding for the project has since stalled.

In this episode of our podcast, I sit down with Dr. Edward Challis Founder and CEO of Seedcamp-backed Re:Infer and Christoph Auer-Welsbach, IBM Watson Partner Innovation, joined Carlos to discuss Artificial Intelligence, Machine Learning, and whether or not we will have to worry about humanity's fate in the future… eg. With their experienced backgrounds, we covered the state of artificial intelligence today, some of the plausible uses and evolution of AI in the near term, and dispelling some of the myths around what is AI and what it can and can't do. If the above player doesn't work for you, you can also listen directly from our Soundcloud page.

The researcher hired by Toyota Motor Corp. to spearhead its robotics and artificial intelligence efforts says the automaker's production principles can be applied to build affordable helper robots for rapidly aging societies. Robot makers are struggling with the same scale challenges that the auto industry overcame with the "miracle" that occurred when Henry Ford developed the assembly line, according to Gill Pratt, the chief executive officer of Toyota Research Institute. Toyota's vaunted production system later showed how to make cars both more cheaply and reliably, despite mistake-prone humans' role in manufacturing, he said. "My thought is, if the Toyota production system can be applied to cars, maybe it can also be applied to robots, because they're quite similar," Pratt told reporters Friday in Tokyo. He's particularly sanguine about the prospects for devices that would help the elderly age where they live.

A research team from Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School (HMS) recently developed artificial intelligence (AI) methods aimed at training computers to interpret pathology images, with the long-term goal of building AI-powered systems to make pathologic diagnoses more accurate. "Our AI method is based on deep learning, a machine-learning algorithm used for a range of applications including speech recognition and image recognition," explained pathologist Andrew Beck, MD, PhD, Director of Bioinformatics at the Cancer Research Institute at Beth Israel Deaconess Medical Center (BIDMC) and an Associate Professor at Harvard Medical School. In an objective evaluation in which researchers were given slides of lymph node cells and asked to determine whether or not they contained cancer, the team's automated diagnostic method proved accurate approximately 92 percent of the time, explained Khosla, adding, "This nearly matched the success rate of a human pathologist, whose results were 96 percent accurate." "But the truly exciting thing was when we combined the pathologist's analysis with our automated computational diagnostic method, the result improved to 99.5 percent accuracy," said Beck.

According to the Urban Dictionary, a dadbot is a guy with a dad bod so controlled by his spouse he resembles a robot. Now, just in time for Father's Day, comes the Dad Joke Bot. It has the sort of corny, pun-packed punch lines you'd expect from, well, a father. The bot was released today by Fatherly, a parenting advice site for dads created by early Thrillist employee Mike Rothman. The company was formed last year and has raised 2 million in seed funding.