Peter Rothman of h+ Magazine writes, “I recently got together with Ron Kaplan who is a well known artificial intelligence researcher in the area of natural language processing. Ron is a Distinguished Scientist at Nuance Communications. The conversation is about 1 hour long and the main theme was the recent comments about dangers from artificial intelligence made by Professor Stephen Hawking and also Elon Musk, Eugene Goostman the chatbot that supposedly passed the Turing Test. Beyond this, the conversation ranges near and far covering and whether it is ridiculous to suggest that Siri is a conscious being, reflective computing, NL interfaces and access to knowledge, communicating with wives, the effects of my diet, and the future of human languages when universal translation becomes widely available.” Read more
Posts Tagged ‘NLP’
Jamie Carter of Tech Radar recently wrote, “With iOS devices now allowing the sending of voice messages and predictions for self-driving cars and voice-activated doors, lights and elevators (cue the internet of things), it’s clear that the future will be spoken, not written. The technology behind this shift in how we interact with our surroundings is natural language processing, a technology that enables computers to understand the meaning of our words and recognise the habits of our speech.” Read more
AlphaSense’s Advanced Linguistics Search Engine Could Buy Back Time For Financial Analysts To Do More In-Depth Research
When Raj Neervannan, CTO and co-founder of financial search engine company AlphaSense, thinks about search, he thinks about it “as a killer app that is only growing…..People want answers, not noise. They want to ask more intelligent questions and get to the next level of computer-aided intelligence.”
For AlphaSense’s customers – analysts at large investment firms and banks or any other industry, as well as one-person shops – that means search needs to get them out of ferreting through piles of research docs for the nuggets of information they really need. Neervannan knows the pain of trying to interpret a CEO’s commentary to understand what he or she was really saying when making the point that numbers were going down when referring to inventory turns. (Jack Kokko, former analyst at Morgan Stanley, is AlphaSense’s other co-founder.)
“You are essentially digging through sets of documents [using keyword search], finding locations of terms, pulling them in piece by piece and constructing a case as to what the company’s inventory turn was really like – what other companies’ similar information was, how that matches up. You have to do quantitative analysis and benchmarks, and it can take weeks,” he says.
Jorge Garcia of Wired recently wrote, “IBM’s recent announcements of three new services based in Watson technology make it clear that there is pressure in the enterprise software space to incorporate new technologies, both in hardware and software, in order to keep pace with modern business. It seems we are approaching another turning point in technology where many concepts that were previously limited to academic research or very narrow industry niches are now being considered for mainstream enterprise software applications. Machine learning, along with many other disciplines within the field of artificial intelligence and cognitive systems, is gaining popularity, and it may in the not so distant future have a colossal impact on the software industry. This first part of my series on machine learning explores some basic concepts of the discipline and its potential for transforming the business intelligence and analytics space.” Read more
Daedalus (which The Semantic Web Blog originally covered here) has just made its Textalytics meaning-as-a-service APIs available for Excel and GATE (General Architecture for Text Engineering), a JAVA suite of tools used for natural language processing tasks, including information extraction in many languages. Connecting its semantic analysis tools with these systems is one step in a larger plan to extend its integration capabilities with more API plug-ins.
“For us, integration options are a way to lower barriers to adoption and to foster the development of an ecosystem around Textalytics,” says Antonio Matarranz, who leads marketing and sales for Daedalus. The three main ecosystem scenarios, he says, include personal productivity tools, of which the Excel add-in is an example, and NLP environments, of which GATE is an example. “But UIMA (Unstructured Information Management Applications) is also a target,” he says. The list also is slated to include content management systems and search engines, among them open source systems like WordPress, Drupal, and Elasticsearch.
An article written by Eugene Joseph of Gamasutra reveals that, “Bot Colony is an episodic single player adventure game that we launched on Steam’s Early Access on June 17. It has the distinction of being the first game that integrates unrestricted English dialogue into the game experience. While the Bot Colony Natural Language Understanding (NLU) pipeline cannot yet handle everything a player throws at it, it is able to understand enough that cooperative players can complete the game’s episodes (versions of the first two are available now on Steam Early Access). Language understanding is not limited to the minimum required to play the game – we actually hope that players will explore the boundaries of AI understanding and probe just how much a Bot Colony robot understands.”
Video games are on their way to becoming an increasingly immersive experience. Rival Theory’s first offering was RAIN, an artificial intelligence engine for the Unity game development ecosystem that counts a little over 7,000 active users. RAIN took a bit of a non-traditional approach to what AI means in the gaming world, which usually just refers to setting up the math functions or algorithms for controlling character behavior, animations and path-finding, says Rival Theory co-founder William Klein.
But its next platform, Sentio – which was demonstrated at the recent TechStars event in New York City – is extending Rival Theory’s work to use AI to give intelligence to individual characters, so that they can think, learn, remember, and even experience emotions. Sentio, which it began working on a couple of years ago, is a set of services and upgrades to its AI work to allow characters “to be more than they are today in games,” he says.
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