Press Release
Air Force chooses Lawrence engineering firm to complete supercomputer project
And now, the technology is being harnessed to streamline the United States Air Force acquisitions process -- an effort that will be undertaken by a small Lawrence business. Lawrence-based KalScott Engineering Inc. announced Wednesday it was selected to finish building artificial intelligence, called SOPHIA, for the Air Force. KalScott, owned by two Kansas University graduates, was chosen last summer to do some preliminary work training a supercomputer -- or "cognitive thinking machine" -- that could understand Defense Department contracting rules and answer questions about them audibly. Suman Saripalli, a co-owner of KalScott, said Wednesday the firm received the final go-ahead to complete the work. The announcement came with 750,000 more in funding. The finished product -- which will act as a "very intelligent assistant," Saripalli said -- is intended to help businesses and government employees navigate the Air Force's complex procurement process, which has been found to discourage small and innovative businesses from partnering with the federal government.
Cognitive Milk on Flipboard
Salesforce's recent acquisitions of AI startups including MetaMind will enable it to keep pace with the functions that consumer-focused companies … From Dick Tracy's watch to Wonder Woman's Bracelets to Bat Girls total recall and technopathy, fiction has a intriguing dialog with invention. Enable natural interaction with your app using a conversational interface powered by the Watson Developer Cloud APIs. KPMG LLP and IBM today announced plans to apply IBM's Watson cognitive computing technology to KPMG's professional services offerings. It can answer guests' questions about the hotel and tourist destinations. The hotel has recently welcomed a new concierge named "Connie," you see, and it's actually a Nao robot powered by IBM's AI.
Semantic Folding Helps Improve Prediction of Stock Return Correlations
A recent academic study conducted by researchers from Leiden, Ben-Gurion and Toulouse Universities examined the performance of Cortical.io's Compared to the commonly used word-list method, Semantic Folding proved to have greater predictive power. Its other advantages were speed and ease of use. "Like the human brain, our Semantic Folding engine learns a language and understands the meaning of text by making analogies. Like the brain, it is both efficient and accurate. We are thrilled to see these compelling results confirmed by an independent academic study", comments Francisco Webber, inventor and co-founder of Cortical.io.
Cylance CEO Stuart McClure to Speak at the 2016 Edison Awards
Cylance, the company that is revolutionizing cybersecurity through the use of artificial intelligence to proactively prevent advanced persistent threats and malware, announced that its Founder, President and CEO Stuart McClure will be a speaker at the 2016 Edison Awards on April 21, 2016, in New York, NY at the New York Academy of Sciences. McClure will deliver remarks on how truly innovative technology often arises from--and may even require--a process of invention involving a high degree of risk and no guarantees of success. The company's groundbreaking artificial intelligence and machine learning based endpoint security product, CylancePROTECT, was chosen as a finalist for a 2016 Edison Award in the Security Solutions Category. The distinguished awards, inspired by Thomas Edison's persistence and inventiveness, recognize innovation, creativity and ingenuity in the global economy. "I'm honored to speak at an event named for one of the greatest inventors of all time," McClure said.
GMA Consulting and TermSet partner to offer intelligent document solutions to firms in the financial services sector - Press Release Rocket
GMA Consulting, an IT consultancy specialising in solutions for the financial services industry, and TermSet, a provider of software which automatically creates accurate and consistent metadata and taxonomies for Office documents, PDF's and emails within Microsoft SharePoint, are pleased to announce a partnership to offer advanced document-centric solutions for firms in the financial services sector. GMA Consulting has extensive experience in implementing SharePoint solutions for its financial services clients and has identified two important areas where TermSet's advanced capabilities, such as summarisation and sentiment analysis can deliver clear benefits to its customers. Ben Grey, a Director at GMA Consulting, said "The first area we identified where TermSet could benefit our clients was managing research documents. Both buy and sell side firms produce and consume large amounts of research documents. When a piece of research material is uploaded to a SharePoint library TermSet can automatically produce a headline summary, classify the sentiment and automatically tag with metadata such as asset class, industry sector, company name and region / country. This will make it far easier for users to find documents they are interested in, particularly if SharePoint's advanced search capabilities are used as well. The second area we identified is legal document management. TermSet can help extract key information such as matter reference and counterparty names and tag documents with this information. This would negate the need for legal departments to manually classify documents, which is hugely time consuming and inefficient."
The Day Is Coming When Customer Service Will Be Run by Chatbots
Facebook has almost 2B active users. At a developer conference today, the company announced plans to connect even more, and Mark Zuckerberg hinted at a near-future scenario where AI-controlled bots will answer basic questions via the Messenger app. Why is that such a big announcement? Because 2016 is the year of the chatbots, a turning point when the AI that drives these machines can imitate human speech, respond to queries, help you find the right product online, and troubleshoot problems. In fact, while there is no way to prove it, there's a good chance you have already chatted online with a customer service bot--say, at one of those pop-ups you see at an online store or when you visit a big-name brand site.
Numenta Researchers Discover How the Brain Learns Sequences, a Key Ingredient of Intelligent Systems
WIRE)--How do our brains learn and understand the world? That question is of paramount importance to both neuroscientists and technologists who want to build intelligent machines. It has been understood for over a hundred years that the inputs and outputs of the brain are constantly changing sequences of patterns and therefore learning and recalling sequences must be a fundamental operation of neurons. Numerous proposals have been made for how neural networks might learn sequences. However, these proposals did not match the anatomy and function observed in the brain.
Dreamstime Leverages Machine Learning to Launch Megapixl.com - Site Uses Dreamstime's Artificial
The initial collection on Megapixl.com is curated based on editor's feedback and customer behaviors that rate images and place them within certain ranks in the collection. Once the site is launched, the machine learning platform will take gathered user data into account and offer refinements to the Dreamstime.com Content on the site includes photos, vector art, and video content representing several categories including abstract, business, people, editorial, 2D & 3D Animation, Video Production Elements, Technology, and Travel. "By launching MegaPixl we give users access to an incredible collection that is curated by humans and then further improved and customized by machine learning tools that learn past behaviors to make dynamic recommendations," said Serban Enache, CEO and co-founder, Dreamstime. "The initial collection on Megapixl is already curated because we've accounted for user's actions so we know how images will be rated and placed within the collection. Megapixl is designed as a first stop for designers because we are effectively using the designer community to help itself by basing the collection on designer behaviors. Users will come to the site to find the right image quickly – giving them more time to focus on their designs."
Emerald Announces Implementation of its Cloud Based, Artificial Intelligence, DermaCompare
Emerald Medical Applications Corp. (OTCQB: MRLA), an Israeli-based company engaged in the development and sale of its proprietary DermaCompare cloud-based, artificial intelligence technology for the early diagnosis of Melanoma/skin cancer, today announced entry into a cooperation agreement with Terem, one of Israel's largest community-based, emergency healthcare providers with 17 medical facilities, serving over 700,000 patients throughout Israel. Starting in April 2016, Emerald will begin to offer its DermaCompare technology at each of Terem's clinics throughout Israel, offering advanced dermatological examinations, diagnosisand treatment led by a leading professional Dermatologists. DermaCompare is Emerald's cloud-based, artificial, intelligence technology using Total Body Photography imaging which is capable of being automatically compared to a patient's previous images to diagnose and detect the presence of Melanoma in its earliest stages. Lior Wayn, Emerald's CEO, stated that "DermaCompare, Emerald's FDA approved, HIPPA compliant software technology, which can be downloaded from any Mac or Android based App store, enables physicians andtheir patients, using virtually any digital camera, including cell phones, iPads, tablets and other similar devices, to take Total Body Photography images and, in real-time, transmit these images for dermatological evaluation and identification of suspicious moles, lesions and other skin conditions. These images are then compared using Emerald's cloud database, as well as the patients previous Total Body Photography images, which will dramatically enhance a physician's ability to detect Melanoma earlier, more accurately and more efficient than other means of diagnosis."
2016 Artificial Intelligence (Ai) Market By Technology (Machine Learning, Natural Language Processing, Image Processing, And Speech Recognition), Application & Geography - Global Forecast To 2020 - Research and Markets
DUBLIN--(BUSINESS WIRE)--Research and Markets has announced the addition of the "Artificial Intelligence (Ai) Market By Technology (Machine Learning, Natural Language Processing (Nlp), Image Processing, And Speech Recognition), Application & Geography - Global Forecast To 2020" report to their offering. The author forecasts the artificial intelligence market to grow from USD 419.7 Million in 2014 to USD 5.05 Billion by 2020, at a CAGR of 53.65% from 2015 to 2020. The major factors driving the growth of this market include diversified application areas of AI, improved productivity, and increased level of customer satisfaction. In addition, the rising demand for intelligent systems is expected to propel the growth of the market in the next five years. The scope of this report covers the artificial intelligence market by technology, application, and region.