IBM has set up three new facilities in Singapore touted to offer access to its cognitive computing and design capabilities as well as a testbed to build product prototypes based on emerging technologies. Located at tech vendor's local office at Marina Bay Financial Centre, the new IBM Watson Centre houses both IBM Garage and IBM Studios and serves as the regional hub, offering customers and industry partners in Asia-Pacific a platform on which to test out new ideas using IBM's cognitive and data analytic technologies. The Singapore outfit also now serves as the company's new headquarters for the region. Speaking at the launch Thursday, IBM executives heralded "a new era" of cognitive where everything could be "reimagined" and reengineered to break new grounds. Businesses' transition towards digitisation had generated huge volumes of data and, with the advent of cloud, that now could be harnessed and fed into machine-learning systems.

IBM's (NYSE:IBM) famed Watson artificial intelligence platform will be put to use to help match cancer patients with clinical trials. The Armonk, N.Y.-based technology giant said Froedtert & the Medical College of Wisconsin Network will adopt the Watson technology for this purpose in a project set to begin this fall. Froedtert/MCW Cancer Network are among the 1st cancer programs nationally to use the technology, according to IBM. Doctors typically try to match patients to genetically ideal clinical trials that are also the most relevant in the development spectrum. This can be a long process on multiple levels, involving reviews by clinical coordinators who manually sort through patient records and conditions.

Hi! I'm working on a character-level LSTM right now for learning purposes; I've written my code to handle batches of data but for now I've trained my LSTM by just reading in one stream of input as with karpathy's mini char-rnn. The more I read, the more I feel that I should do a batched approach rather than one stream of character inputs. Only problem is, I guess I don't entirely understand how to train it in a batched form. Is the idea that I train my RNN the same way but send in as my input matrix of these 150 characters at 25 quotes a piece? Will I ultimately be training it on ALL 10,000 quotes or just a random subset?

Today we're excited to announce that Grain is powered by IBM Watson, unlocking a new way to connect your personal world to the world of investing. Our iOS app, where you can invest alongside friends and family, now runs on one of the most powerful cognitive engines in the world. It's a different kind of tool for a new era of computing, where people and computers work together instead of at ends. It's illumination of an aspect of life that was formerly dark. It's a way for you to take control, to build a portfolio as unique as you are.

IBM-owned The Weather Company is launching Watson Ads, a new ad tech solution that utilises machine learning to give consumers an ability to interact with digital advertising. In what the vendor claims is the first consumer use of its cognitive computing technology for advertising purposes, Watson Ads will allow advertisers to produce display ads that invite consumers to interact through voice and text with a product or service offering. The Weather Company has confirmed three brands - Campbell Soup Company, Unilever and GSK Consumer Healthcare – will be the first to take up the new ad solution when it launches later this year. As an example, the media company said a consumer could ask through natural voice recognition what they should make for dinner that night. Watson will then provide a data-driven response using a combination of machine learning and reasoning ability from datasets ingested by the system.

After robots flood the work market, the only jobs left for real people will be those that require critical thinking and human-level care. Something like a teacher at a college, that could definitely never be outsourced to an machine, right? Ashok Goel, a professor in computing at Georgia Tech, implemented an artificial intelligence teaching assistant in the online Q&A forums for one of his courses last semester. Young academics busting their backs in hopes of one day snagging a TA job will be alarmed to learn that the A.I, named Jill, performed so well that most of the course's students couldn't tell her from the other eight human TAs who were performing the same duties. The A.I.'s full name was Jill Watson, built from the same IBM Watson platform that beat humans in Jeopardy!

You would be amazed about how many requests are made for a banner on a website. All kinds of tracking services are called along with the actual banner content. Now another request will increase load time. Marketers have long sought an advertising solution that can create a one-to-one connection with the consumer, that can be personal, relevant and valuable; and can scale across millions of interactions and touchpoints. Watson Ads will help marketers achieve those goals, and can also help them uncover consumer and product insights faster than ever before, revealing connections previously invisible to human data scientists.

Big Blue is bringing a new kind of big data to digital ads. We've seen Bob Dylan talking to IBM Watson about love and loss in TV spots for months, and Big Blue now wants us to connect with the same kind of artificial intelligence--but not to discuss humanity's deepest issues. No, the idea here is more about the weather and the right kinds of spices to put in our soup. The Armonk, N.Y.-based tech giant today is announcing Watson Ads that will let consumers ask questions by voice or text and receive answers. IBM's relatively new ownership of The Weather Company's digital properties is coming into play in a serious fashion: Watson Ads will first appear on Weather.com, the Weather mobile app and the company's data-driven WeatherFX platform.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

David Kenny spoke at The Post's 2016 Transformers live journalism event May 18 in Washington, D.C. Learn more here. "We don't ask the same person to be our oncologist, our radiologist, our accountant, our chef and our dry cleaner. We have different people learn different things and the same is true with AI. "When it makes mistakes, when it's misinterpreted and gives a wrong answer, then you correct it and it learns for the next time. I think what's important is you put safeguards, that there is still an override, that those don't become decisions. In the more critical the mission, the more you need to have checks and balances just as we do on humans, right?