NEC Corporation and the University of Tokyo recently announced the commencement of a comprehensive industry-academia alliance for strengthening innovation in Japan. This alliance differs from others in that it has been created under an organization-to-organization agreement to promote comprehensive collaboration, including the sharing of visions and issues from the fundamental research phase to the commercialization of research results phase, the consideration of social acceptance of research results, and the development of human resources for the future. Among the first actions by this industry-academia alliance for innovation will be considering the magnitude of the impact of AI on society, to conclude the NEC/University of Tokyo Partnership Agreement for Future AI Research and Education in the field of Strategic Artificial Intelligence (AI), and to commence specific activities. Conventional industry-academia alliances have only engaged in limited, small-scale joint research related to individual technologies. However, in order to strengthen Japan's innovation and promote meaningful social changes, it will be imperative to carry out investigations on implications for ethics and legal systems with a focus on commercialization, as well as to create new collaborative alliances that are large in scale and cover broad areas, including human resource development.

Artificial intelligence (AI) is poised to have a transformative effect on consumer, enterprise, and government markets around the world. An umbrella term that refers to information systems inspired by biological systems, AI encompasses multiple technologies including machine learning, deep learning, computer vision, natural language processing (NLP), machine reasoning, and strong AI. According to a new report from Tractica, these technologies have use cases and applications in almost every industry and promise to significantly change existing business models while simultaneously creating new ones. The market intelligence firm forecasts that annual worldwide AI revenue will grow from 643.7 million in 2016 to 36.8 billion by 2025. In sizing and forecasting the total global AI market, Tractica has identified 191 real-world use cases for AI, organized into 27 different industry sectors and corresponding with six major technology categories, plus multiple combinations of technologies.

Chanda Kochhar, managing director & chief executive officer, ICICI Bank, said by the end of FY17, the bank would more than double the number of transactions cleared by the bots. "Currently, about 10 per cent of our internal transactions are being carried out via the software robots and by the end of this year, we believe, this will go up to 20 per cent of our transactions. This has helped us in improving productivity and efficiency and will help us in handling larger volumes as we continue to grow." The lender started experimenting with software bots at the beginning of this financial year. Now, over a million banking transactions across 200 business processes are carried out by the technology on a daily basis.

IBM (NYSE: IBM) today revealed a series of new servers designed to help propel cognitive workloads and to drive greater data center efficiency. Featuring a new chip, the Linux-based lineup incorporates innovations from the OpenPOWER community that deliver higher levels of performance and greater computing efficiency than available on any x86-based server. Collaboratively developed with some of the world's leading technology companies, the new Power Systems are uniquely designed to propel artificial intelligence, deep learning, high performance data analytics and other compute-heavy workloads, which can help businesses and cloud service providers save money on data center costs. The three new systems are an expansion of IBM's Linux server portfolio comprised of IBM's specialized line of servers co-developed with fellow members of the OpenPOWER Foundation. The new servers join the Power Systems LC lineup that is designed to outperform x86-based servers on a variety of data-intensive workloads.

HENDERSON, Nev.--(BUSINESS WIRE)--Quertle LLC has developed the first artificial intelligence and visual analytics big data (BioAI) platform for biomedical drug discovery. This platform combines machine learning, neural networks, and other AI methods to improve discovery and insight. The BioAI platform includes predictive visual analytics that accelerate search and discovery from the literature, enable discovery of documents that are otherwise overlooked and improve drug discovery. The AI-powered visualizations summarize an entire set of documents, detect trends and uncover hidden connections. Biomedical literature is the foundation of the 5 trillion health care market, serving as the basis for drug discovery, medical device opportunities, marketing decisions and direct health care.

Kimera Systems Inc. announced its Nigel artificial general intelligence (AGI) technology became a commercially deployable artificial intelligence technology to observe user behavior, comprehend context, and derive a common sense set of actions to apply under specific circumstances. Nigel was able to observe that a movie theater is a type of location, and that people share common behaviors with respect to their phones when they visit this type of location. Through these observations, Nigel learned to proactively dim screens and silence smartphones when people enter a cinema. As an artificial general intelligence technology, Nigel represents a new approach that fuses together a broad range of hard and soft sensor data, resulting in continuous observation, moment-to-moment contextual awareness and soon, complete comprehension.

SYSPRO is unveiling the new capabilities to 24 leading enterprise software analysts from 12 different global firms during a two week roadshow. It has labeled its tour, "Going for the Gold in Best of Class ERP" and is showcasing sophisticated leading-edge technology advances, such as bots, predictive search, and product integrations to the Internet of Things (IoT), plus a host of powerful new, role-based data access for users. Industry analysts have been predicting for the last 12 months or more that such technologies will erase some of the key competitive barriers that might otherwise impede newer or mid-sized manufacturing firms from competing as effectively as they'd like. "To compete effectively today in a global market, manufacturers and distributors of all sizes need to leverage state-of-the-art technologies that can optimize profit margins while delivering a better customer experience," said Predrag Jakovlevic, Principal Analyst, Enterprise Applications, for Technology Evaluation Centers. "While giant ERP companies often dominate the news, companies like SYSPRO are now announcing delivery of some of the hottest new IT capabilities embedded within their software, like bots and predictive search, and have made commitments to bringing machine learning, artificial intelligence and IoT to market in 2017. The point is, very affordable ERP solutions like SYSPRO can give even small and mid-sized manufacturers the ability to be very successful against much larger market competitors."

Move aside, Mitomo: Nintendo announced today that its next iOS app will bring the iconic Super Mario to Apple mobile devices. Japanese video game designer Shigeru Miyamoto, who helped create Mario, joined Apple CEO Tim Cook on stage at the company's iPhone 7 unveiling event today in San Francisco to offer a sneak preview of the iOS version of Super Mario Run. It's a simple game: Mario automatically runs to the right, and your goal is to make him hurdle enemies and small gaps in course. You do that by tapping--the longer you tap, the higher Mario jumps and the higher your score. The game's ultimate goal is to get to the flagpole at the end of the course before time runs out.

Information contained on this page is provided by an independent third-party content provider. If you are affiliated with this page and would like it removed please contact pressreleases@franklyinc.com Overview: More than 50% of enterprise IT organizations are experimenting with Artificial Intelligence (AI) in various forms such as Machine Learning, Deep Learning, Computer Vision, Image Recognition, Voice Recognition, Artificial Neural Networks, and more. AI is not a single technology but a convergence of various technologies, statistical models, algorithms, and approaches. Machine Learning is a sub-field of computer science that evolved from the study of pattern recognition and computational learning theory in AI. Every large corporation collects and maintains a huge amount of human-oriented data associated with its customers including their preferences, purchases, habits, and other personal information.

With a simple one-time Q&A session – and without the need to pre-define a single keyword, rule, topic or sentiment value – a junior employee in days can arrange to have Revuze deliver the most nuanced information available. The data is delivered, via a single screen, about consumers and their needs, across thousands of internal and external data sources, on any given product family. Revuze has created and is widely introducing its technology available for Product Experience Management, enabling brands to quickly understand product and customer satisfaction issues, and to automatically score and rank the brand's performance, both relative to its competitors and to the market as a whole. "Global brands have told us that this is a game changer for managing their brand health," said Revuze Co-Founder and CEO Ido Ramati. "They are now able to make the kind of key business decisions and utilize data from such varied sources in ways that before were not possible. Through our introduction of AI into this field, brands can now gain an immediate, granular understanding of what customers are saying about their brand, product or competitors, without having to hire teams of experts."