A company's logo is an important part of its identity, but the processes behind defining, registering, and protecting these trademarks is a convoluted and rather archaic one. A startup called TrademarkVision aims to simplify it by replacing that laborious and arcane process with what amounts to a machine-learning-powered reverse image search. This isn't in some lab, either: the EU just switched their whole image trademark system over to it. Most people probably haven't had to do many trademark and logo searches. Well, why don't you take the USPTO's version for a spin so you know what it's like? Try to find the Nike "Swoosh" or something.

Ramamurthy Sivakumar is a vice president and managing director at Intel Capital. He oversees investments in immersive sports, healthcare and perceptual computing. At a popular hotel nestled in the heart of Silicon Valley, two long-separated technologies came together not long ago -- all in the name of toothpaste. A small robot, outfitted with 3D cameras, was loaded up with a bath kit, a newspaper and a spare towel. It then took the supplies, rolled out of the lobby, called for the elevator and delivered the items to a guest room.

Microsoft reveals'what if' face mashup system that can you show everything from Voldemort in Kiss to Donald Trump in Game of Thrones The chatbot has since taken the internet by storm, with users creating'what if' images for every imaginable situation. This includes'What if Trump is Cersei Lannister' proposed by Twitter user Jeremy Randall Pictured is a terrifying baby-Yoda mashup it created when asked'What if Yoda were BB-8?' The bot created an image to visualize'What if Chewbacca were Yoda?' There are often those moments in life that cause us to wonder, 'what if' – but, Microsoft's new chatbot might make you wish you never had. The new bot called'Murphy' generates mashup images for any hypothetical face combination, with hilarious, and often terrifying, results Twitter user Stephen Bell asked the bot, 'What if Voldemort was in Kiss?' Valley Stream Best Buy associates gift a teen with a Wii U'I'm going to wing walk!' Schofield talks to Duke about wing walk Prince Philip reminisces about expansion of Duke of Edinburgh awards Homeowner trolls bungling burglar with Mission Impossible theme'They make each other laugh': Countess Sophie on the Duke and Queen Hunters forced to shoot a wild bear dead as it charges towards them'I wanted the painting!': Joanna Lumley jokes about Duke's artwork Documentary director attacked by gang of immigrants in Stockholm Adorable baby dressed as Lion comes face to face with real one Hammer wielding thugs smash car windows and threaten man Adorable dog won't allow owner to stop scratching his belly Ferrari crashes into pedestrians while racing near Battersea Dogs Home Adorable dog won't allow owner to stop scratching his belly Terminally-ill boy, five, dies in Santa Claus' arms after... Missing North Carolina girl who was last seen aged 15... Trump's Iran stance could threaten a WORLD WAR and the... Woman left with huge bill after Plenty of Fish date eats... Model, 32, claims her MIT-grad hedge-funder boyfriend, 29,... Blood-spattered walls, unbearable odours and houses where... Best Buy employees in Long Island chip in to buy a $300 WiiU... Nothing like retail therapy!

By bringing artificial intelligence to its wearable tech, PIQ is looking to improve on its design. Until now, sports wearables have largely boiled down to high-tech sensors recording basic data. With the addition of GAIA Intelligence, the company will be able to make the PIQ Robot that much better at improving your performance. Both the PIQ Robot and GAIA Intelligence give coaches and athletes the ability to analyze every movement during a game or match. This data can then be compared with any previous performances as well as with a community's performance overall.

The corpus is intended to serve as a reference for training and evaluating methods for anatomical entity mention detection in life science publications.

Do you remember ten years ago when phones used to be the prime point of contact for customer-related issues? Businesses could rely on call centre agents to respond to customers in a couple of days. It took a while, and the communication options were limited. Today the rise of e-commerce, multiple communication channels and the proliferation of mobile devices has meant that consumer behaviour has significantly shifted. We now demand access to immediate information and want our issues to be solved instantly at the click of a button. However, while advancements such as the move to mobile and e-commerce have undoubtedly propelled the customer service industry forward, it's the technology that is still evolving, like machine learning and AI, which will have a much larger impact on the future of businesses' customer relationships.

IBM Watson may be able to win Jeopardy!, but security experts are skeptical about the technology's ability to defeat today's cyberthreats. The IBM Watson for Cyber Security beta program launched this week with 40 partners around the world in an effort to help security analysts make better, faster decisions from vast amounts of data, but experts said this is the same promise offered by many other products. IBM said Watson for Cyber Security will feature natural language processing that can help it to "understand the unique language of security." "The truth is, a lot of security vendors today are attaching [artificial intelligence] or cognitive to a number of products that are really just advanced analytics or machine learning, which are also important elements that can help in the fight against cybercrime," Diana Kelley, executive security adviser for IBM Security, told SearchSecurity. "What Watson will bring to the equation that is unique is the ability to digest vast amounts of both structured data, as well as all of the intelligence that exists in natural language, like blogs, white papers and research reports. For example, there are around 10,000 security research papers published each year, and 60,000 security blog posts published every month."

Sure, you can already take steps to keep your Twitch chat friendly, but it's a lot of work if you don't have a team of moderators. Do you really want to watch conversations like a hawk in case someone gets around your meticulously crafted filters? You might not have to after today. Twitch is introducing an AutoMod feature that uses a mix of machine learning and natural language processing to keep "inappropriate content" out of your stream chats. It not only screens for offensive language, but can spot attempts to dodge your filters through clever uses of characters and emoji.

THIRUVANANTHAPURAM: It seems machines replacing humans is not science fiction anymore. Artificial Intelligence (AI) is the buzzword now in the IT field and many companies have started imparting training for employees in AI. Anoj Pillai, chief architect of UST Global's first, spoke at length about how AI was changing the world, at the company's developer's conference. Observing that AI would replace 80% of IT helpdesk, he said, "Labour-centric services will be wiped off eventually. For example, a person who attends a customer's call could be replaced by a machine. It is not going to change the employee. Only his profile will change," he said.

Artificial intelligence and machine learning have become key drivers of innovation. Machine-learning algorithms significantly improve detection time for modern threats, as they can analyze large amounts of data significantly faster than any human could. If trained to accurately detect various types of malware behavior, machine-learning algorithms can have a high detection rate, even on new or unknown samples. The merging of human ingenuity with the speed and relentless data analysis of machine learning significantly accelerates reactions against new malware, offering protection even from previously unknown samples – advanced persistent threats, zero-day attacks, and ransomware. Detecting ransomware, for example, requires several algorithms, each specialized in detecting specific families with individual behaviors.