Harnessing the power of AI: Japanese delivery firms, restaurants look to tech to boost businesses

The Japan Times

In the midst of a surge in demand as more people shop online, the parcel delivery sector is struggling to keep up due to a chronic shortage of drivers. Meanwhile, restaurants are struggling to find ways to reduce waste in an industry notorious for razor-thin profit margins. A viable solution to both industries' conundrums could be artificial intelligence. Japan Data Science Consortium Co. (JDSC), a startup incubated at the University of Tokyo, believes it can solve this growing issue using its own AI patent that analyses household electricity data to calculate whether anyone will be home to receive a package during a given time period. In other words, the AI comes up with a delivery route for truck drivers based on the electricity data.


SwRI's Motion Prediction Algorithms Enhance Safety Features for Automated Vehicles

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Southwest Research Institute, a leading innovator of machine learning technologies, has developed a motion prediction system that enhances pedestrian detection for automated vehicles. The computer vision tool uses a novel deep learning algorithm to predict motion by observing real-time biomechanical movements with the pelvic area being a key indicator for changes. "For instance, if a pedestrian is walking west, the system can predict if that person will suddenly turn south," said SwRI's Samuel E. Slocum, a senior research analyst who led the internally funded project. "As the push for automated vehicles accelerates, this research offers several important safety features to help protect pedestrians." Recent accidents involving automated vehicles have heightened the call for improved detection of pedestrians and other moving obstacles.


dmlc/gluon-cv

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GluonCV v0.6.0 added more video classification models, added pose estimation models that are suitable for mobile inference, added quantized models for video classification and pose estimation, and we also included multiple usability and code improvements. We now provide state-of-the-art video classification networks, such as I3D, I3D-Nonlocal and SlowFast. We have a complete model zoo over several widely adopted video datasets. We provide a general video dataloader (which can handle both frame format and raw video format). Users can do training, fine-tuning, prediction and feature extraction without writing complicate code.


Memory For Advanced Designs

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The 2020 Designcon conference included many talks and exhibits with a storage and memory focus. Both Rambus and Teledyne LeCroy had tutorials on design and connectivity for leading edge electronic components and systems as well as testing memory systems. This piece will look at some material from the tutorials and exhibits that can inform us about disaggregated processing developments, high speed chip to chip interfaces and memory for AI applications. Rambus said that there are multiple drivers to disaggregate semiconductor die, often called die disaggregation or chiplets. Creating specialized chips used with other chips in a package allows the introduction of specialized technologies (such as co-packaged optical systems) as well as better cooling solutions and greater in-package memory.


NTSB chair eviscerates Tesla for inaction over Autopilot concerns

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The National Transportation Safety Board held a hearing on Tuesday regarding a deadly 2018 crash in which a Tesla Model X slammed into a Mountain View highway divider at 70mph, was subsequently struck by two other vehicles and then exploded. During that announcement, the safety board revealed that the driver, Apple developer Walter Huang, was playing a mobile game on his phone at the time of the accident, while the vehicle's Autopilot feature was engaged. "Government regulators have provided scant oversight" over the semi-autonomous driving systems that are quickly becoming standard features on modern automobiles, NTSB chair Robert Sumwalt declared. While the NTSB does not have the authority to enforce safety measures, the National Highway Traffic Safety Administration can issue recalls for unsafe vehicle tech. The NTSB also determined via cellphone records and device data that Huang's phone was running a mobile game at the time of the crash.


AI Adoption In The Enterprise: What The 2019 RELX Emerging Tech Exec..

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With respect to AI adoption in the enterprise, what if I told you that 93% of executives believe that emerging technologies, such as AI, deep learning and machine learning, are already making their organization more competitive? You'd probably say I'm lying, right? As a corporate data strategist, it's vital that I keep on top of all significant changes in the corporate landscape with respect to AI adoption in the enterprise. That's why I love the annual report put out by RELX. It helps me keep tabs on what's really happening inside the businesses I serve, and inside the minds of the executives who run them (in a completely anonymous way, of course.)


How To Start A Career In Data Science

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A data scientist is someone who helps an organisation to make critical decisions through data analysis, modelling, visualisation, among others. According to the survey reports, Data Science and analytics ecosystem has been witnessing an overall growth in the number of jobs with India contributing to 6% of open job openings worldwide. Currently, the total number of analytics and data science job positions available are more than 90,000 and compared to the worldwide estimates, India contributes 6% of open job openings. In this evolving talent market, aspirants have been developing a blend of skills in order to strive ahead in the role of data science. While taking this journey, there are a few crucial questions that keep roaming inside the head.


Full Agenda for The Next AI Platform: 2020 Edition

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We are just 18 days away from The Next AI Platform event on March 10, 2020 at The Glasshouse in San Jose. Remember, this sold out last year. If you haven't already registered make sure to do so as soon as possible to avoid getting closed out of the unique PowerPoint-free, live-interview and hosted panel day focused on what's next for large-scale AI infrastructure (this year's emphasis is on inference in particular). Below is the tentative agenda. As with all events, it is subject to last minute changes but this is the confirmed lineup as of this morning.


State Of Artificial Intelligence In India - 2019 - AIMResearch

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We have started tracking the AI industry in India over the last two years. The result of this is our annual AI study- The Hitchhiker's Guide to Artificial Intelligence 2019-2020, where we look at the key AI trends dominating the Indian AI market. The study covers professionals, salaries, AI jobs across different Indian cities, and the companies leading in terms of AI hiring in the country. The most significant outcome of the study is the much-accelerated growth of the AI industry since last year. Growing by 80%, we see AI is no longer in a hype stage and has observably entered the period of real productivity.


Colorized Footage Of 1911 New York Needs To Be Seen To Be Believed

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Footage taken of New York City has been colorized and upscaled using artificial intelligence (AI) more than 100 years after it was shot, and the results are astonishing. In 1911, Swedish production company Svenska Biografteatern visited the United States and shot extensive footage of the streets. Over a century later, still in mint condition, it was cut by YouTuber Guy Jones, and slowed down to a more natural speed. The result, A Trip Through New York City, can be viewed below. From that footage, another YouTuber (loving your work here YouTube, prefer this a lot to your anti-vaxx and pseudoscience content) was able to upscale and colorize it using neural networks.