One dating app is on a mission to end "catfishing," the term for someone having a fictional persona online and trying to get into a relationship. Badoo is a name many Americans have never heard of, but the dating service is trying to grow its presence in the U.S. It's part of the reason why the brand acquired LuLu, a dating app originally for anonymous ranking men and gained popularity in U.S. colleges, and brought on its founder Alexandra Chong as president last month. Soon, she and Badoo will be opening an office in New York, adding to the locations in Moscow and London. "They're not known as the biggest," Chong told International Business Times while sitting on the rooftop of the Soho House earlier this week. "Tinder was the one that caught the millennials."

Who here remembers taking computer programming in school? Whether you learned programming by punching holes in a never ending series of cards, or by writing simple DOS or other computer language commands, the fact remained that computers needed an incredibly precise set of instructions to accomplish a task. The more complicated the task, the more complicated your instructions had to be. Machine learning is inherently different. Rather than telling a computer exactly how to solve a problem, the programmer instead tells it how to go about learning to solve the problem for itself.

In an unassuming, two-story Victorian town house in Bristol, people are being filmed, monitored, and tracked 24/7. Invisible sensors constantly keep a watchful eye as they go about their business. But what these folks lose in privacy could be our collective gain in life expectancy--that is, if the long-term data bears out. Pivotal to the 15-million ( 21M) Sensor Platform for Healthcare in a Residential Environment (SPHERE) project, this house has been invisibly fitted with dozens of cameras and sensors while its occupants are asked to don wearable devices. The aim is to research how health is related to everyday lifestyle and living conditions over time.

Scientists in the US have succeeded in developing the first living cell to be controlled entirely by synthetic DNA. The researchers constructed a bacterium's "genetic software" and transplanted it into a host cell. The resulting microbe then looked and behaved like the species "dictated" by the synthetic DNA. The advance, published in Science, has been hailed as a scientific landmark, but critics say there are dangers posed by synthetic organisms. Some also suggest that the potential benefits of the technology have been over-stated.

For human lip readers, context is key in deciphering words stripped of the full nuance of their audio cues. But a technology model for lip-reading developed at the University of East Anglia in the UK has been shown to be able to interpret mouthed words with a greater degree of accuracy than human lip readers, thanks to the application of machine learning tech to classify the visual aspect of sounds. And the kicker is the algorithm doesn't need to know the context of what you're discussing to be able to identify the words you're using. While the model remains a piece of research at this stage, there are scores of potential applications for technology that could automagically transform visual cues into accurate speech -- whether it's helping people who have audio impairments, or enhancing audio-less security video footage with additional speech data -- or even to try to figure out exactly what charged word one footballer spat at another in the heat of a match… Such a tech could also be applied as a fallback for poor audio quality on a mobile or video call. Or even perhaps to power a front-facing camera-based mobile'voice' assistant which you wouldn't actually have to speak to but could just discreetly mouth commands at (how cool would that be?).

If the lip-reading technology had been used during the 2006 World Cup Final, when Zinedine Zidane was given a red card for headbutting Marco Materazzi, the outcome of the game could have been different. Closer analysis of the event revealed that Zidane responded to Materazzi insulting his family. "If we'd had live lip-reading technology they probably would have both been red carded," said Dr Helen Bear, a researcher at the University of East Anglia in Norwich who has developed a lip-reading artificial intelligence program. The new technology can lip-read better than humans could help solve crimes by analysing speech in CCTV footage. The visual speech recognition technology can decipher human conversation in videos when there isn't clear audio available, as is often the case with surveillance footage.

LONDON/BRUSSELS – Facial recognition software, scanners that detect weapons and cameras that spot nervous people are some of the technologies that could be used more widely to secure public places, but some would require greater acceptance of surveillance in Europe. The deadly attacks in Brussels on Tuesday highlighted the vulnerability of Europe's airports and transport systems. European Union officials, grappling with the conundrum of how to increase security while retaining the openness of society, have convened meetings to discuss aviation and land transport security. Their goal is to be able to monitor passengers unobtrusively while minimizing additional hold ups that create crowds, which can themselves become new targets. Experts say technology cannot solve the problem on its own, but techniques such as facial recognition able to pick out known suspects can help if Europeans decide they want more surveillance.

Early Wednesday morning, a new Twitter user named Tay met the world. She was a Microsoft-designed experiment in artificial intelligence that would develop an increasingly human-like persona by engaging with Millennials online. Early this morning though, Tay abruptly withdrew from the world. It seems she learned too indiscriminately, repeating all sorts of language that had been directed at her--including racial epithets, political conspiracy theories, and all-caps Trumpisms (Microsoft has since deleted the tweets, though The Guardian was kind enough to take screenshots). If you're like me, your initial reaction to Tay was excitement. It seemed like a neat experiment.

Tay, Microsoft's AI chatbot on Twitter had to be pulled down within hours of launch after it suddenly started making racist comments. As we reported yesterday, it was aimed at 18-24 year-olds and was hailed as, "AI fam from the internet that's got zero chill". Don't miss our biggest TNW Conference yet! The AI behind the chatbot was designed to get smarter the more people engaged with it. But, rather sadly, the engagement it received simply taught it how to be racist.

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.