TayAndYou was supposed to be a Teenage Girl-like AI for twitter. Microsoft's proof it could create chat bots to do customer service. The problem was Microsoft didn't leave on any training wheels, and didn't make the bot self reflective. We have all had a bad day, and wanted to tell the person who is bugging us that they are acting like a Nazi. Tay, on the other hand, didn't know that she should just ignore the people who act like Nazi's, and so she became one herself.

Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have created an algorithm that can predict how memorable or forgettable an image is almost as accurately as humans -- and they plan to turn it into an app that subtly tweaks photos to make them more memorable. For each photo, the "MemNet" algorithm -- which you can try out online by uploading your own photos -- also creates a heat map that identifies exactly which parts of the image are most memorable. "Understanding memorability can help us make systems to capture the most important information, or, conversely, to store information that humans will most likely forget," says CSAIL graduate student Aditya Khosla, who was lead author on a related paper. "It's like having an instant focus group that tells you how likely it is that someone will remember a visual message." Team members picture a variety of potential applications, from improving the content of ads and social media posts, to developing more effective teaching resources, to creating your own personal "health-assistant" device to help you remember things.

Soccer aficionados will never forget the headbutt by French soccer great Zinadine Zidane during the 2006 World Cup final. Caught on video camera, Zidane's attack on Italian player Marco Materazzi after a verbal exchange got him a red ticket. He left the field, making it easier for Italy to become world champions. The world found out later about Materazzi's abusive words of Zidane's female relatives. "If we had good lip-reading technology Zidane's reaction could have been explained or they would've both gotten sent out," says Helen Bear, a computer scientist at the University of East Anglia in Norwich, UK. "Maybe the match outcome would be different."

Empowering the data-driven organization is a core element of our strategy at Hewlett Packard Enterprise. This can sound like just another fancy marketing campaign – unless you were in a seat at the Seize the Data Analytics World Tour event in Palo Alto. DreamWorks Animation's Jeff Wike presenting at the Silicon Valley event As I sat smiling through the Kung Fu Panda 3 trailer and watched Jeff Wike, Head of Technology for Film and TV Production at DreamWorks Animation, take the stage, I expected to hear how analytics helped DreamWorks Animation analyze how many people watched the film and how they chose to do so - in the theater, on demand, on what device. That information is foundational to any organization in the media industries these days. I didn't expect to hear that the HPE Vertica Advanced Analytics database improved the ability of artists to iterate design and even render panda fur by minimizing compute resources, or how the studio was able to quickly redesign the characters' facial movements when the movie was translated to Mandarin, also due to the power of analytics.

Vinith Misra is one of the funnier people in tech. As a consultant for the hit HBO show Silicon Valley, he's best known for having crafted a mathematically complex dick joke. At IBM, where he works full-time on Watson, part of his job is to figure out how to give a robot a sense of humor. AI "is not about replacing humans, but interacting with them," Misra told me. "That's where humor is super valuable." We're going to be interacting with machines more and more, as robots and smart devices enter our homes, offices, cars, schools, hospitals and workplaces.

We're witnessing an explosion of applications that no longer have a graphical user interface (GUI). They've actually been around for a while, but they've only recently started spreading into the mainstream. They are called bots, virtual assistants, invisible apps. They can run on Slack, WeChat, Facebook Messenger, plain SMS, or Amazon Echo. They can be entirely driven by artificial intelligence, or there can be a human behind the curtain.

Artificial intelligence may seem like a long way away, but powerful machine learning is already in our pockets, helping smartphones understand our queries and organising our photos for us. Bigger goals are on the horizon, but the machines will need humans like Quoc Le, a researcher in Google's "deep learning" unit, to get there. He talked to the BBC's Saira Asher during a visit to Singapore.

New lip-reading technology could help solve crimes by deciphering what people caught on CCTV are saying, researchers have claimed. The visual speech recognition technology developed by the University of East Anglia in Norwich can be used to determine what people are saying in situations where audio is not good enough to hear - such as on security camera footage. Helen Bear, from the university's school of computing science, said the technology could be applied to a wide range of situations from criminal investigations to entertainment. She added: "Lip-reading has been used to pinpoint words footballers have shouted in heated moments on the pitch, but is likely to be of most practical use in situations where there are high levels of noise, such as in cars or aircraft cockpits. "Crucially, whilst there are still improvements to be made, such a system could be adapted for use for a range of purposes - for example, for people with hearing or speech impairments."

New lip-reading technology developed at the University of East Anglia (UEA) could help in solving crimes and provide communication assistance for people with hearing and speech impairments. The visual speech recognition technology, created by Dr Helen L. Bear and Prof Richard Harvey of UEA's School of Computing Sciences, can be applied "any place where the audio isn't good enough to determine what people are saying," Dr Bear said. Dr Bear, whose findings will be presented at the International Conference on Acoustics, Speech and Signal Processing (ICASSP) in Shanghai on March 25, said unique problems with determining speech arise when sound isn't available - such as on CCTV footage - or if the audio is inadequate and there aren't clues to give the context of a conversation. The sounds '/p/,' '/b/,' and '/m/' all look similar on the lips, but now the machine lip-reading classification technology can differentiate between the sounds for a more accurate translation. Dr Bear said: "We are still learning the science of visual speech and what it is people need to know to create a fool-proof recognition model for lip-reading, but this classification system improves upon previous lip-reading methods by using a novel training method for the classifiers. "Potentially, a robust lip-reading system could be applied in a number of situations, from criminal investigations to entertainment.

FILE - This July 3, 2014, file photo, shows the Microsoft Corp. logo outside the Microsoft Visitor Center in Redmond, Wash. Artificial-intelligence software designed by Microsoft to tweet like a teenage girl has been suspended after it began spouting offensive remarks, according to the company Thursday, March 24, 2016. Microsoft said it is making adjustments to the Twitter chatbot after users found a way to manipulate it to tweet racist and sexist remarks and made a reference to Hitler.