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This futuristic, autonomous pod vehicle is a living room on wheels

#artificialintelligence

To mark its its centennial, Japan's Asahi Kasei has unveiled the AKXY2 concept pod vehicle. The vehicle has been designed to reimagine values of sustainability, satisfaction and society and how these will influence the needs of future mobility on the road to automation and electrification. When looked at closely, the concept AKXY2 can be seen featuring a split body with a streamlined lower section and an upper glass canopy. The latter can be lifted up vertically, while a door folds down to provide access to the cabin. The exterior of the vehicle features slender lighting units and aerodynamic wheel covers with transparent inserts.


Tokyo hosts Artificial Intelligence exhibition to grab business opportunities

#artificialintelligence

Tokyo [Japan], May 27 (ANI): An Artificial Intelligence exhibition was recently organized in Tokyo showcasing the latest advancements in technology. Multiple software companies developing Artificial Intelligence exhibited their technology and inventions to guests and visitors hoping to grab a bigger business opportunity. An official of NTQ Japan, a Vietnamese company which mainly develops AI for cinema and image processing, Shuta Karakawa said, "To be honest, AI technology is the same quality anywhere in the world. Vietnam and other countries are proud of that. As the quality of the technology is the same, I think it would be a great advantage to use lower labour costs than Japanese AI companies."


Biotechnology:Discovery of Enzymes by Artificial Intelligence

#artificialintelligence

Associate Professor Christopher J. Vavricka, Graduate School of Science, Technology and Innovation, Kobe University, Assistant Professor Shunsuke Takahashi, Faculty of Science and Technology, Tokyo Electric University, Michihiro Araki, Deputy Director, AI Health and Pharmaceutical Research Center, Institute of Pharmaceutical Sciences, Health and Nutrition, Kobe University A research group led by Professor Masahisa Hasunuma of the Advanced Bioengineering Research Center has succeeded in producing microorganisms for plant-derived pharmaceutical raw materials by developing a machine learning prediction model capable of discovering unknown enzymes and linking it with metabolic engineering. In the future, it is expected to accelerate the bioproduction of various useful substances, functional materials, and general-purpose chemicals. The results of this research were published in the British scientific journal Nature Communications on March 16 .With the progress of synthetic biology in recent years, microbial fermentation production of plant-derived pharmaceutical raw materials is expected. When targeting BIA, which is widely used as a raw material for analgesics, the problem was that some of the enzymes that make up the metabolic pathway were unknown. To solve the problem of enzyme discovery, we developed by biotechology a machine learning prediction model and linked it to the DBTL workflow of design ( D esign) -construction ( B uild) -evaluation ( T est) -learning ( L earn).


Using AI to Achieve Earlier Diagnosis of Pancreatic Cancer

#artificialintelligence

In this interview, we talk to Takayuki Baba from Fujitsu Research about ongoing research using artificial intelligence to achieve earlier diagnosis of pancreatic cancer. I am Takayuki Baba, and I am researching medical image diagnosis support technology as a "converging technology" that combines image analysis technology and medical science at Fujitsu Research. Converging technologies combine two or more different social sciences and technology areas to achieve a specific goal and represent a major focus of Fujitsu's R & D. Fujitsu Research has a track record in the research and development of technologies for the detection of multiple types of lesions on computed tomography (CT) images with AI and the retrieval of past CT images with a similar distribution of lesions, which are used in medical diagnostic imaging support technologies to help physicians make diagnoses. Fujitsu and the Southern Tohoku General Hospital have started joint research with Fujitsu Japan Limited and FCOM CORPORATION on AI technology for detecting pancreatic cancer from non-contrast CT images through FCOM, which has been supporting the medical system of Southern Tohoku General Hospital. The survival rate for pancreatic cancer is said to be low, as it is often found when it has already progressed to a state that is difficult to treat.


Valeo says next-gen lidar can enable Level 4

#artificialintelligence

A recent Valeo test vehicle in Tokyo demonstrated how Scala lidars and a front camera, combined with vehicle-to-infrastructure communication, could autonomously steer through crowded boulevards, thread between lumbering trucks and zipping passenger vehicles, while navigating pedestrians. The system is Level 4-capable but operates in Level 2 mode during public testing, with a Valeo engineer always at the ready to take control. The self-driving system had its faltering moments, usually while negotiating scenarios that require bending traffic rules -- such as leaving a lane to go around idling trucks or bicyclists. And the steering and braking aren't always as smooth as would be done with a human touch. Valeo engineers say that coming versions will better address such borderline scenarios.


ISO/IEC AI workshop - JTC 1

#artificialintelligence

Babak Hodjat is the CTO for AI at Cognizant where he leads a team of developers and researchers bringing advanced AI solutions to businesses. Babak is the former co-founder and CEO of Sentient, responsible for the core technology behind the world's largest distributed artificial intelligence system. Babak was also the founder of the world's first AI-driven hedge-fund, Sentient Investment Management. Babak is a serial entrepreneur, having started a number of Silicon Valley companies as main inventor and technologist. Prior to co-founding Sentient, Babak was senior director of engineering at Sybase iAnywhere, where he led mobile solutions engineering.


Transforming the automotive supply chain for the 21st century

MIT Technology Review

For the JIT model to work, the quality and supply of raw materials, the production of goods, and the customer demand for them must remain in alignment. If any one of the links in the chain breaks, stalls, or falls out of sync, the impact on the supply chains that crisscross the world can be felt immediately. For companies, unable to deliver on orders in a timely fashion, they risk losing not only efficiency gains but also brand credibility, market share, and revenue. Now, companies are seeking new ways of managing their supply chains that offer greater flexibility and transparency. In the automotive sector, some companies including Nissan and JIT pioneer Toyota are increasing chip inventory levels, while others including Volkswagen and Tesla are trying to secure their own supplies of rare metals.


Google Maps adds an 'Immersive View' of major cities

Engadget

Google Maps is getting an "Immersive View" that will offer users digitally rendered looks at major US cityscapes, Alphabet CEO Sundar Pichai told the audience at Google's I/O 2022 keynote on Wednesday. The new feature uses computer vision and AI to blend Maps' existing Street View function with aerial photography to create high-resolution models of the various buildings and urban features of a given location. "With our new immersive view, you'll be able to experience what a neighborhood, landmark, restaurant or popular venue is like -- and even feel like you're right there before you ever set foot inside," wrote Miriam Daniel, VP of Google Maps, in a blog post. What's more, Maps' other tools and features can be applied to the view as well, enabling users to see what the area looks like at different times of the day and varying weather conditions. Immersive View will first be available for Los Angeles, London, New York, San Francisco and Tokyo later this year, with more cities to follow.


Tokyo's Yamanote Line to test automated trains with passengers from October

The Japan Times

East Japan Railway Co. said Tuesday it will carry out test runs of automated trains with passengers aboard on Tokyo's Yamanote Line for two months starting around October. JR East has been testing the automated system on out-of-service trains on the line -- one of Tokyo's most congested -- since 2018, and the operator intends to implement the technology around 2028. Your browser's ad blocking or security software may be the cause. Please add www.japantimes.co.jp / buy-ap.piano.io to your allowed sites to continue reading.


Out of the box: Japan's vending machines get a modern makeover amid pandemic

The Japan Times

Late-night conference calls were the norm for Andy Lin when he was an engineer in California for a global semiconductor company. The time difference with clients in Taiwan, where the firm is headquartered, meant he'd often find himself feeling famished after most diners closed. One night he finished work at around 3 a.m. and decided to see if there were any vending machines that sold what he was craving -- satiating soup and noodles. Instead, he discovered on YouTube that there were vending machines serving hot bowls of udon (wheat noodles) in Japan 30 to 40 years ago. "I did some further research and found it was still popular because it's a (retro) machine that's still working and everyone wanted to try it," he says.