Cognitive technologies and AI poised to transform all manufacturing sectors, says Frost

ibm ai

Partnership, collaboration, and technology investment crucial for growth opportunities, says Frost & Sullivan’s industrial automation and process control team 

The Internet of Things and data analytics are transforming the manufacturing space, and data is the new currency.

Currently, human intervention is needed for logical and reasonable decision making. However, with the rise of cognitive technologies, machines will be empowered to detect constantly changing manufacturing scenarios and respond in real time with minimum human intervention.

To be successful, manufacturers need to invest in artificial intelligence technology to improve plant efficiency and productivity, and build partnerships and collaborations that drive data-driven intelligence.  Continue reading Cognitive technologies and AI poised to transform all manufacturing sectors, says Frost

Logistics automation startup Grabit ships products to two Fortune 100 companies

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Grabit, a startup automation systems provider to the manufacturing and warehouse logistics industries, has shipped multiple units of its material handling robot, Stackit, to what it says is “an industry-leading athletic shoe and apparel company”.

Grabit also shipped multiple units of Meterit, its “intelligent conveyor system”, to a “global leader” in express package delivery services.

To date, Grabit has secured $25 million in financing from investors and strategic partners. This funding is being applied to develop flexible robotic automation solutions that leverage Grabit’s electroadhesion technology and machine learning software to provide up to 20x productivity improvement for its customers’ operations.  Continue reading Logistics automation startup Grabit ships products to two Fortune 100 companies

The human factor: GE Digital automation boss hints at new directions for Predix

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Exclusive interview with Matt Wells, of GE Digital. By Abdul Montaqim

GE Digital is a subsidiary of General Electric, the quintessential American multinational corporate conglomerate with operations in more countries than the United Nations. 

But far from being just one of its parent company’s dozen or so subsidiaries, GE Digital is something of a shooting star, outperforming many other subsidiaries to the point where it is informing, if not transforming, the entire culture and ethos of the company.

Nowadays, General Electric likes to be known as a “the world’s digital industrial company”, except they capitalise the words to emphasise the importance of the virtual realm.  Continue reading The human factor: GE Digital automation boss hints at new directions for Predix

Kinema Systems claims ‘world’s first deep learning 3D vision system for industrial robots’

kinema systems

Kinema Systems claims to have launched what it describes as “the world’s first deep learning 3D vision system for industrial robots”. 

A large part of the world’s commerce moves in boxes arranged on pallets. Depalletizing boxes in warehouses, distribution centers and factories is a difficult task that has become more challenging with changing demographics and an increase in product mix.

Kinema Pick is claimed to be the world’s first deep learning 3D vision system for industrial robots, and addresses the depalletization of both mixed SKU and single SKU pallets.  Continue reading Kinema Systems claims ‘world’s first deep learning 3D vision system for industrial robots’

Nvidia and Bosch launch artificially intelligent self-driving car computer

Nvidia CEO Huang on stage at Bosch event
Nvidia CEO Jen-Hsun Huang on stage at Bosch event

One of the world’s largest automotive suppliers, Bosch, provided a massive stage today for Nvidia CEO Jen-Hsun Huang to showcase its new artificial intelligence platform for self-driving cars.

Speaking in the heart of Berlin to several thousand attendees at Bosch Connected World — an annual conference dedicated to the Internet of Things — Huang detailed how deep learning is fueling an AI revolution in the auto industry.

The small AI car supercomputer was unveiled last week in the opening keynote address by Bosch CEO Dr Volkmar Denner, who focused on how his company, which had €73 billion in revenue last year, is pushing deeper into the areas of sensors, software and services.  Continue reading Nvidia and Bosch launch artificially intelligent self-driving car computer

Universal Robots launches free online training in industrial robot programming

universal robots training
The UR Academy modules takes the student through basic tasks such as
programming the UR robot arm to place parts in a box arriving on a conveyor

“It’s unprecedented to make inter-active teaching material of this caliber free of charge – we’re basically the first in the industry to take this approach,” says Universal Robots spokesperson

Universal Robots has developed online training modules to enable users of its industrial robots learn more about their machines’ operations and applications.

The hands-on modules are offered free of charge, open to all, and built to deliver hands-on learning via interactive simulations to maximize user engagement, says the company.

Learning how to set up and program a collaborative robot – or cobot – no longer depends on real life access to a robot or a training class, says Universal.

Now everybody with a desire to learn the concepts of cobots can log in to the Universal Robots Academy and get the introduction necessary to master basic programming skills.  Continue reading Universal Robots launches free online training in industrial robot programming

The machine and AI: What’s in our future?

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Eat, drink and take regular exercise if you want to live

Jonathan Wilkins, marketing director at obsolete industrial automation parts supplier, EU Automation discusses how recent developments in machine learning are influencing industry

In 1950, computer scientist Alan Turing developed a way of testing a machine’s ability to exhibit intelligent behaviour, equivalent to humans.

Since the Turing Test was first used, the world has become fixated on the possibility that, one day, a computer could function like a human being.

Machine learning is a concept that has been around for many decades. In machine learning, the computer doesn’t rely on rule-based programming, rather the algorithms can adapt and learn from the data.  Continue reading The machine and AI: What’s in our future?

Audi demonstrates autonomous driving tech with AI

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Piloted driving with artificial intelligence: Audi says it is partnering with top companies in the electronics industry

Audi has been showcasing its latest innovations in autonomous driving in collaboration with Nvidia. 

The auto giant and chip maker call the system “piloted driving with artificial intelligence.

Audi says AI is a “key technology” for piloted driving, which is why the company has form what it says are strong partnerships in the electronics industry and is jointly developing “game-changing know-how” in the field of machine learning.  Continue reading Audi demonstrates autonomous driving tech with AI

Denso opens automotive research and development lab at Michigan university

university-of-michigan

Global auto supplier Denso has opened a new research and development lab at the University of Michigan, in the US. 

Denso, which used to be part of Toyota, says the new research facility will “accelerate development of new auto safety technologies and create new research opportunities for engineering students”.

The company says the Denso R&D Lab gives Denso an opportunity to more closely collaborate with the university and North American automotive manufacturers on key safety technologies like machine learning, advanced driver assistance systems, and automated drive.

As part of the lab, 12 university students have been selected to participate in research projects, which will begin this month and run throughout 2017.  Continue reading Denso opens automotive research and development lab at Michigan university

Predictions for the future of manufacturing

industrial trends

Martyn Williams, managing director of industrial software expert Copa-Data UK, examines three of the most prominent automation trends of 2017 and discusses how these trends are changing manufacturing operations

As manufacturing facilities incorporate greater levels of automation, the demand for new technologies continues to grow.

Recent years have seen several trends create a shift in the way the industry operates.  Continue reading Predictions for the future of manufacturing

DataRobot surpass 110 million predictive models

datarobot

DataRobot customers have surpassed 110 million predictive models using enterprise machine learning platform

Machine learning and data science startup, DataRobot, says its customers have developed more than 110 million models using the SaaS version of the DataRobot automated machine learning platform.

The company says it serves as validation of the company’s mission to “bring automated machine learning to every corner of the enterprise” and made the announcement at the Strata + Hadoop World session, Data Science for Executives, delivered by DataRobot CEO and co-founder, Jeremy Achin.

Enterprises across every industry are embracing machine learning to remain competitive in today’s data-driven world. By allowing more professionals across an organization to use advanced algorithms to derive insights from data, machine learning is helping to alleviate issues caused by a critical shortage of data scientists. Continue reading DataRobot surpass 110 million predictive models

Opinion: ‘How data science and machine learning will save lives on the roads’

toyota car
Toyota is recalling 5.8 million cars globally to replace potentially faulty airbag inflators made by Takata, according to the IBTimes.co.uk

By Sundeep Sanhavi, CEO of Data RPM, who claims data science and machine learning will save lives in this exclusive article for Robotics and Automation News

Recalls happen all too frequently, often as a result of some horrendous accident or incident. But there are ways in which the predictive qualities of data science and machine learning can relegate recalls to the annals of history. 

“A new car built by my company leaves somewhere traveling at 60 mph,” explains the Narrator in the film adaptation of Chuck Palahniuk’s Fight Club.

“The rear differential locks up. The car crashes and burns with everyone trapped inside. Now, should we initiate a recall? Take the number of vehicles in the field, A, multiply by the probable rate of failure, B, multiply by the average out-of-court settlement, C. A times B times C equals X. If X is less than the cost of a recall, we don’t do one.”

Edward Norton’s chilling performance aside, vehicle recalls are a persistent problem. Their persistence – given the increasing availability of improved technology and insight – is baffling.  Continue reading Opinion: ‘How data science and machine learning will save lives on the roads’

Denso invests in deep learning and vision processing startup Thinci

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Robotics and automation giant Denso says it’s become the lead investor in Thinci

Denso says its investment in startup will help accelerate next-generation automotive technology, using innovative deep learning and vision processing silicon and software. 

The company adds that its investment will lead to advancements in driver assistance and autonomous driving, improve the efficiency of thermal systems, and optimize the productivity of the vehicle’s powertrain.

Tony Cannestra, Denso International America’s director of corporate ventures, says: “Denso has been researching new developments in the area of computer vision processing. We strongly believe that Thinci’s technology will soon become a key component of next generation autonomous driving systems that require advanced computing techniques combined with deep learning capabilities.  Continue reading Denso invests in deep learning and vision processing startup Thinci

Be part of our new publication: Industrial Internet

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Contribute articles and advertise in our new digital publication

Robotics and Automation News is planning a new ebook with the working title Industrial Internet.

The digital publication will be distributed through Apple and Amazon stores. Moreover, advertisers and commercial partners will have their content featured on the RoboticsAndAutomationNews.com website and Sensor Data, the accompanying newsletter.

The publication is planned to contain features about the following subjects:

  • Industrial Internet of Things
  • Machine-to-Machine Networks
  • Industrial Networks
  • Wireless Networks
  • Industrial Computers
  • Human Machine Interface
  • Control Systems
  • Supervisory Control and Data Acquisition
  • Ethernet
  • Programmable Logic Controllers
  • Artificial Intelligence
  • Deep Learning
  • Machine Learning
  • Manufacturing
  • Smart Factories
  • Transportation
  • Logistics
  • Cyber Security
  • Data Management

These are the subjects which are planned. However, it partly depends on you. If you are interested in other subjects we have not listed, contact us and let us know.

If you would like to be featured within any of the features listed or any new ones we develop in co-operation with you, we can agree a structure for a commercial partnership.

An example of a typical partnership would be: Article and Advertising package – from $500.

For more information, contact us: sales[at]roboticsandautomationnews.com