Following the success of the 4th AI Hardware Summit that took place 13-16th September in Mountain View, US, Kisaco Research is proud to announce the annual 2022 Executive Outlook. The Executive Outlook provides leading industry executives, and key decision makers, an exclusive chance to network, discuss and share their views and predictions on the market from a strategic viewpoint, and, collectively define a vision for the future of AI systems. Our Executive Outlook is an annual, end-of-year executive-level summit and awards ceremony. It will recognize both engineering and business achievements during the year and gather the very best and brightest in the AI acceleration world, to pause and reflect on the year and set a vision for the following 12 months. The forum will consist of analyst overviews and predictions, executive keynotes, and an awards ceremony.

CEATEC (Combined Exhibition of Advanced Technologies) is an annual event where innovative technologies, products and services are all exhibited together in one place to illustrate what a future society may be like. This year's CEATEC, for which The Japan Times is a prime media partner, will be held at Makuhari Messe in Chiba Prefecture from Oct. 15 to 18. It requires preregistration from all visitors on the CEATEC website, www.ceatec.com. People can also register online at the venue reception area during the event. The event, sponsored by the CEATEC Executive Board, comprised of the Japan Electronics and Information Technology Industries Association, the Communications and Information Network Association of Japan and the Computer Software Association of Japan, consists of two major parts -- an exhibition and a conference.

Will robots take our jobs? When will driverless cars become the norm? How is Industry 4.0 transforming manufacturing? These were just some of the issues addressed at CogX in London last month. Held in association with The Alan Turing Institute, CogX 17 was an event bringing together thought leaders across more than 20 industries and domains to address the impact of artificial intelligence on society.

No use of external data You must not train your model with using either external data or test data set. Using external trained models and third party libraries You may use the external trained models only if they are open source models (source code is provided, anyone can access, and license free). In using external trained models, please clarify their referring source (i.e.