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Hitachi launches new industrial edge computer

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Hitachi has launched a new industrial edge computer. The “Hitachi Industrial Edge Computer CE series Embedded AI model” was developed in collaboration with Intel.

The product, an integration of Intel’s artificial intelligence technology and Hitachi’s control system design and manufacturing technologies, is a new model that incorporates an image analysis execution platform using AI and deep learning.

Through providing this product, Hitachi contributes to the expansion of digital transformation, such as streamlining and automating tasks that rely on visual checks (the inspection process for finished products in the manufacturing industry) and solving management challenges using on-site data. [Read more…] about Hitachi launches new industrial edge computer

Teradyne and Syntiant partner to ‘significantly shorten time to market’ for new AI chips

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Teradyne, a supplier of automated test solutions, says the company’s UltraFLEX test platform has enabled AI chip company Syntiant to successfully ship millions of its microwatt-power, deep learning Neural Decision Processors to customers worldwide.

Built from a clean sheet, hardware/software co-design methodology that optimizes silicon and deep learning models together, the Syntiant NDP100 and Syntiant NDP101 Neural Decision Processors bring hands-free, cloud-free, always-on voice and sensor AI applications to battery-powered edge devices.

Pieter Vorenkamp, COO at Syntiant, says: “Our deep learning NDP10x chips leverage our custom designed near-memory compute architecture, so we were looking for a partner with a deep understanding of the AI chip market. [Read more…] about Teradyne and Syntiant partner to ‘significantly shorten time to market’ for new AI chips

The Impact of Artificial Intelligence on the Surveillance Industry

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Like other sectors of our lives, the game-changing impact of artificial intelligence in our security systems cannot be ignored.

Let’s face it, despite several innovative and giant strides in security systems, they still depend on human monitoring and unwavering focus. It is an undeniable fact that the attention span of a typical human is short at best.

The need to keep close eyes on things means more cameras and more critical events likely to be missed in real-time. Browsing through tonnes of boring recorded video data after the fact is not an easy task. [Read more…] about The Impact of Artificial Intelligence on the Surveillance Industry

Seoul Robotics launches ‘breakthrough’ perception software platform

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​Seoul Robotics​, a 3D computer vision company using AI and machine learning to power the future of mobility, has made its formal debut in the US market with the launch of its first commercial product, Discovery.

The company, which has been developing sensor agnostic perception software for 3D sensors for the past three years, provides large-scale companies, institutions, and governments with access to LiDAR solutions to support a range of functions and increase efficiency and safety.

The LiDAR market is currently on track to reach more than $3 billion by 2025, fueled over the last decade by companies focused on the development of autonomous vehicles. [Read more…] about Seoul Robotics launches ‘breakthrough’ perception software platform

Showing robots how to drive a car… in just a few easy lessons

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USC researchers have developed a method that could allow robots to learn new tasks, like setting a table or driving a car, from observing a small number of demonstrations.

Imagine if robots could learn from watching demonstrations: you could show a domestic robot how to do routine chores or set a dinner table. In the workplace, you could train robots like new employees, showing them how to perform many duties. On the road, your self-driving car could learn how to drive safely by watching you drive around your neighborhood.

Making progress on that vision, USC researchers have designed a system that lets robots autonomously learn complicated tasks from a very small number of demonstrations – even imperfect ones. The paper, titled Learning from Demonstrations Using Signal Temporal Logic, was presented at the Conference on Robot Learning (CoRL). [Read more…] about Showing robots how to drive a car… in just a few easy lessons

Here’s How Social Media Managers Can Train the Creative Team More Effectively

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Social media has seen rapid growth in the field of marketing. Reason? Digital revolution. These channels are perhaps the best ways for users to connect with their friends, expand their network, or even help them with their careers.

Being home to almost every age group today, social media platforms are the perfect channels to promote products or spread awareness about the brand. This has led to social media becoming a popular choice of career.

A majority of organizations are now hiring a dedicated creative team to take care of their digital and social media marketing. Consequently, the need to ensure the training and development of this workforce has also seen a rise. [Read more…] about Here’s How Social Media Managers Can Train the Creative Team More Effectively

Nvidia claims its Jetson Nano is the ‘ultimate AI and robotics starter kit’


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Chipmaking giant Nvidia has expanded its Jetson AI at the Edge platform with an entry-level developer kit priced at $59, opening the potential of AI and robotics to a new generation of students, educators and hobbyists.

The Jetson Nano 2GB Developer Kit is designed for teaching and learning AI by creating hands-on projects in such areas as robotics and intelligent IoT.

To support the effort, Nvidia also announced the availability of free online training and AI-certification programs, which will supplement the many open-source projects, how-tos and videos contributed by thousands of developers in the vibrant Jetson community. [Read more…] about Nvidia claims its Jetson Nano is the ‘ultimate AI and robotics starter kit’


What robots want: Using machine-learning to teach effectively

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By Hyunsoo (Hyun) Kim, co-founder and CEO of Superb AI

AI is having a moment. One need only casually scan the news each week to see that the topics of artificial intelligence and machine learning have grown like ivy, extending their tendrils into stories as varied as racial bias, hiring, and of course, identifying spiders.

But for all the diverse applications of AI across our inboxes, magazines and evening news, few outside of the engineering community have a robust understanding of what the terms actually mean, or how the robots and algorithms we increasingly rely upon come to know how to do the complex jobs humans assign to them.

For starters, the machines involved in machine learning are increasingly more likely to take the form of a disembodied hivemind than a humanoid assistant. [Read more…] about What robots want: Using machine-learning to teach effectively

CMU researchers train autonomous drones using cross-modal simulated data

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To fly autonomously, drones need to understand what they perceive in the environment and make decisions based on that information. (See video below.)

A novel method developed by Carnegie Mellon University researchers allows drones to learn perception and action separately.

The two-stage approach overcomes the “simulation-to-reality gap”, and creates a way to safely deploy drones trained entirely on simulated data into real-world course navigation. [Read more…] about CMU researchers train autonomous drones using cross-modal simulated data

Continental building supercomputer on Nvidia platform to use for vehicle AI

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Continental is building a supercomputer based on the Nvidia computing platform. The system is intended for vehicle artificial intelligence system training.

The two companies say they are building the high-performance cluster based on Nvidia DGX AI systems, adding that this will “boost autonomous driving development performance”.

The new cluster reduces development time from weeks to hours, say the companies and among its main uses are deep learning, simulation and virtual data generation. [Read more…] about Continental building supercomputer on Nvidia platform to use for vehicle AI

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