ISELIN, N.J. -- JT Kostman, Ph.D., an internationally recognized leader in cognitive computing, applied artificial intelligence, and data strategy, has joined Grant Thornton LLP as managing director of applied artificial intelligence. In this new role, Kostman will lead the development and delivery of artificial intelligence, machine learning, IoT, blockchain, and advanced analytic solutions and services for the firm and Grant Thornton clients. He will be based in the firm's Iselin, N.J., office and will report into National Managing Principal of Innovation Kevin Baril. Kostman is a data scientist, mathematician and psychologist renowned for his expertise in applied artificial intelligence and cognitive computing. He boasts an impressive pedigree – having served as chief data officer and a member of the executive committee for Time Inc., chief data scientist for Samsung, and chief data scientist and big data psychologist for Aptus Insights.

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BEIJING--(BUSINESS WIRE)--Sep 28, 2018--Schwarzman Scholars yesterday hosted a high level international dialogue on artificial intelligence (AI), aimed at encouraging greater discourse and cooperation on complicated topics associated with the development of AI. The event was held in conjunction with the release of the English language version of Tsinghua University's Chinese Institute for Science and Technology Policy's Artificial Intelligence Development Report. The report outlines China's AI development from four different perspectives: technological development, market applications, policy environment and social impact. It offers a multi-dimensional comparison between China and developed countries regarding AI development, and analyzes China's strengths, weaknesses and its position in the international AI competitive landscape. "Schwarzman Scholars is pleased to have served as the convening organization for this important international dialogue. I commend Dean Xue Lan on the release of his important report and thank the participants for their insightful comments and engagement," said Stephen A. Schwarzman, Founding Trustee of Schwarzman Scholars and Chairman, CEO and Co-Founder of Blackstone.

VANCOUVER, British Columbia--(BUSINESS WIRE)--AbCellera announced today that it has closed its Series A financing led by DCVC Bio, a Silicon Valley venture capital fund focused on deep technology ventures that lie at the nexus of artificial intelligence and biotechnology. AbCellera will use the USD $10 million financing to accelerate the growth of their therapeutic antibody discovery business, including investments to build capacity and integration of advanced technological capabilities spanning computation, protein engineering, and immune repertoire profiling. "With this financing, we will double-down on our partnership business that has enjoyed profitable, triple-digit growth over the past 3 years. In DCVC Bio, we have found the ideal funding partner to help us accelerate the success of our full-stack antibody discovery engine, one that integrates artificial intelligence with industry-leading microfluidic screening technology," said Carl Hansen, CEO of AbCellera. AbCellera's high-throughput single B cell screening platform and repertoire sequencing technologies enable discovery of large multidimensional data sets of valuable antibody sequences.

Silicon Valley-based venture capital firm Toyota AI Ventures announced today that it is participating in a series of events across the United States to meet promising entrepreneurs that are looking for funding. As part of the "call for innovation" initiative that it unveiled this summer in partnership with the robotics group at the Toyota Research Institute (TRI), the Toyota AI Ventures team will go on the road beginning this week to take part in several startup events. The series includes RoboBusiness 2018 in Silicon Valley where the firm's managing director Jim Adler will give a presentation on the main stage the evening of Sept. 26, 2018.

Demis Hassabis, co-founder and CEO of DeepMind, said: Games and simulations have been a core part of DeepMinds research programme from the very beginning and this approach has already led to significant breakthroughs in AI research. As a former video game designer myself, I couldnt be more excited to be collaborating with Unity, creating virtual environments for developing and testing the kind of smart, flexible algorithms we need to tackle real-world problems. Unity is no stranger to forging thought-leadership in the AI field. In combination with the ML-Agents toolkit, Unity is quickly becoming the platform of choice for the development of intelligent agents. The Unity engine can create the massive simulations needed by researchers to study autonomous artificial agents and develop new kinds of algorithms, which will influence fundamental AI research in areas including robotics, autonomous vehicle development, and many other areas of science and technology.

Alphabet Inc.'s artificial intelligence group DeepMind Technologies Ltd. said today it will research AI agents with 3-D game development company Unity Technologies Inc., which made the engine for the popular Pokemon Go game. The two companies plan to create a virtual test ground for AI agents that may eventually be used in fields such as autonomous driving and robotics. "DeepMind researchers are trying to crack huge AI problems and Unity provides them with a solution of creating complex virtual environments that will enable the development of algorithms capable of learning to solve complex tasks across diverse environments," Danny Lange, vice president of machine learning and AI at Unity Technologies, said in a statement. "We believe the future of AI is being forged by increasingly sophisticated human-machine interactions, and Unity is proud to be the engine that is enabling these interactions." DeepMind, thanks to its backing from Google-parent Alphabet Inc., has established itself as one of the leading organizations working in AI field, having published more than 200 peer-reviewed papers on the subject in journals such as Nature and Science.

Demis Hassabis, co-founder and CEO of DeepMind, said: "Games and simulations have been a core part of DeepMind's research programme from the very beginning and this approach has already led to significant breakthroughs in AI research. As a former video game designer myself, I couldn't be more excited to be collaborating with Unity, creating virtual environments for developing and testing the kind of smart, flexible algorithms we need to tackle real-world problems." Unity is no stranger to forging thought-leadership in the AI field. In combination with the ML-Agents toolkit, Unity is quickly becoming the platform of choice for the development of intelligent agents. The Unity engine can create the massive simulations needed by researchers to study autonomous artificial agents and develop new kinds of algorithms, which will influence fundamental AI research in areas including robotics, autonomous vehicle development, and many other areas of science and technology.

Watch the premiere episode of The Dr. Data Show, which answers the question, "What makes machine learning the coolest science?" This new web series breaks the mold for data science infotainment, captivating the planet with short webisodes that cover very best of machine learning and predictive analytics. Click here for more information and to sign up for future episodes of The Dr. Data Show Please note that viewing the video (above) is recommended, since it includes complementary visuals. Also, certain vocal inflections and gesticulations hold meaning. Some of the intented meaning is lost by reading this transcript rather watching the video.

According to the "Artificial Intelligence in Marketing Market by Offering (Hardware, Software, Services), Technology (Machine Learning, Context-Aware Computing, NLP, Computer Vision), Deployment Type, Application, End-User Industry, and Geography - Global Forecast to 2025", published by MarketsandMarkets, the market is expected to be valued at USD 6.46 Billion in 2018 and is likely to reach USD 40.09 Growth in the adoption of customer-centric marketing strategies, increase in demand for virtual assistants, and increased use of social media for advertising are the major factors driving the demand for AI-based marketing and sales solutions. Browse 67 tables and 59 figures spread through 200 pages and in-depth TOC on "Artificial Intelligence in Marketing Market - Global Forecast to 2025" Software holds a major share of the overall AI in marketing market owing to the developments in AI software and related software development kits. AI systems require different types of software, including application program interfaces, such as language, speech, vision, and sensor data, along with machine learning algorithms, to realize various applications for sales and marketing. Software platforms and solutions are available at high costs as there are limited number of experts that develop machine learning algorithms.