6 machine learning misunderstandings
Ryan Francis for NetworkWorld: Machine learning isn’t confined to science fiction movie plots anymore; it’s fueled the proliferation of technologies that touch our everyday lives, including voice recognition with Siri or Alexa, Facebook auto-tagging photos and recommendations from Amazon and Spotify. And many enterprises are eager to leverage machine learning algorithms to increase the efficiency of their network. In fact, some are already using it to enhance their threat detection and optimize wide area networks.
As with any technology, machine learning could wreak havoc on a network if improperly implemented. Before embracing this technology, enterprises should be aware of the ways machine learning can fall flat to avoid setting back their operations and turning the c-suite away from implementing this technology. Roman Sinayev, security intelligence software engineer at Juniper Networks, cites ways to avoid the top machine learning missteps. Cont'd...
Time for Monumental Thinking in Additive
Karen Haywood Queen for AdvancedManufacturing.org: The limits of CAD and CAE tools and the STL file format are holding manufacturers back
As additive manufacturing emerges from a long infancy, the industry is grappling with a key challenge: A file format and design tools from the 20th century are being asked to do 21st century jobs.
“The industry was a hobby industry for 25 years and it’s starting to grow up,” said Kirk Rogers, technology leader at GE.
“You made a 3D model and it had a cool factor—Mickey Mouse or a little chess piece—it was awesome to look at,” said Kenneth Church, CEO of the R&D engineering firm Sciperio, as well as the 3D printing firm nScrypt. “What if I made it functional? Cont'd...
Industry 4.0-based Network Manager Ensures Solid Industrial Connectivity
Network connectivity of industrial equipment and devices is a vital element of Industry 4.0. If the connection fails, all data communication from field devices to back-end servers and cloud networks will be halted, disrupting the operation of Industry 4.0.
With 3D printers and nanofingers, HP Labs builds a new future
Stephen Shankland for CNet: Get ready for the third chapter in the book of Silicon Valley.
During the first chapter, innovation in Silicon Valley was about atoms, carving up silicon wafers into the electronic transistors that started the computing revolution. The second one, more ethereal, brought the triumph of internet services like Facebook and Google.
To be competitive now, a company must blend both approaches. That's the view of HP Chief Engineer Chandrakant Patel, who rose through the HP Labs ranks over 30 years to secure 151 patents and become the company's chief engineer.
"The 21st century will require Silicon Valley to be a cyber-physical valley," Patel said. Cont'd...
How Blockchain will Transform the Enterprise
With machine-to-machine communication, how does one validate "identities" and secure data at such massive scale.
Manufacturing's Productivity Myth
Justin Fox for Bloomberg: The U.S. manufacturing sector is far from the basket case it is sometimes made out to be on the campaign trail. But it's important to realize that it isn't exactly going gangbusters, either.
The everything's-OK line about U.S. manufacturing goes something like this: Yes, lots of manufacturing jobs (7.3 million, to be precise-ish) have been lost since employment in the sector peaked in 1978, but real manufacturing output is at an all-time high. So the manufacturing sector is doing fine -- it's just that thanks to automation and other technological advances it has gotten much more productive and thus doesn't need as many workers. Cont'd...
Smart Factory Hackathon: Talented data-science specialists develop solutions for the factory of the future
Press Release via AutomotiveWorld: “Data drives our production – you innovate from our data” is the motto of the Smart Factory Hackathon, which was held at the Audi Forum Ingolstadt from October 19 to 21. Talented young data-science specialists from the fields of IT, mathematics and engineering developed innovative software solutions for the factory of the future, based on genuine but anonymized data sets from Audi’s production. On Friday afternoon, the winners of the IT competition were awarded their prizes: The “Happy Unicorns” team won first prize with its idea on the subject of container management.
The Smart Factory Hackathon is a programmers’ marathon in which participants work out digital solutions and prototypes for genuine application cases over a period of 24 hours. For the competition, more than 20 departments from the pre-series center, toolmaking, paint shop, assembly and logistics had provided anonymized data sets with which the teams had to work. The results were assessed by a jury of four Audi experts and the startup consultant Thorsten Weber from “UnternehmerTUM,” the center for innovation and startups at the Technical University of Munich. The teams then presented their ideas to an audience. The winners were decided equally by the jury assessment and the audience’s votes. Cont'd...
Using 3D Printers in Manufacturing
The 3D printing industry is expected to change nearly every industry it touches, completely disrupting the traditional manufacturing process. As a result, the projected value of the industry is expected to explode in the near future
3D printing hack: Researchers crash drone with sabotaged propeller
Conner Forrest for TechRepublic: University researchers were able to sabotage a drone by hacking the computer controlling the 3D printer that made its parts, according to a research paper released Thursday. By changing the design of the propellor before printing, they caused the $1,000 drone to "smash into the ground" and break, shortly after take off.
The paper, titled dr0wned - Cyber-Physical Attack with Additive Manufacturing, was a joint effort from researchers at Ben-Gurion University of the Negev (BGU), the University of South Alabama, and Singapore University of Technology and Design. In the paper, the researchers explained how they committed the cyberattack, and what the attack could mean for the future of 3D printing security.
Using a phishing attack, the researchers gained access to the PC that was connected to the 3D printer. Cont'd...
Hall Effect Technology Reaches a New Level
For electrical motors with variable speed drives, fine current control in varying operating temperatures improves speed and torque control and can also provide energy savings of up to 30% or more.
GE opening microfactory in Chicago to build industrial prototypes
Robert Channick for the Chicago Tribune: GE is opening a microfactory in Chicago to turn big industrial ideas into small-batch prototypes. The Chicago manufacturing facility, set to open in December, will be the first for Fuse, a new GE crowdsourcing initiative to create and build innovative industrial products. One of the first challenges on the Fuse drawing board, for example, is finding a new way to quickly inspect a hot jet engine between flights.
"The idea of reaching out to the online community really accelerates how we introduce new products," said Axel Grippo, Fuse's inaugural general manager. The microfactory will be housed inside the mHub technology incubator, and will employ a staff of about 15 to 20 once manufacturing gets up to speed, Grippo said. The first prototype is expected to roll out early next year. Cont'd...
5 key trends in the global smart factory market
Abhishek Budholiya for Embedded Computing Design: Smart factories are being touted as the future of manufacturing. Continuous advancement in machine intelligence is expected to bring about a fourth industrial revolution, expected to offer a wide range of benefits, including greater efficiency, flexibility, and safety.
The global smart factory market was valued at nearly $52 billion in 2014 and is expected to expand at over 13 percent compound annual growth rate (CAGR) in the next ten tears. Let’s take a look at some key insights on the global smart factory market.
First, smart factories are gaining traction in the automotive and transportation sector. Tightening profit margins and stringent guidelines have made automotive manufacturing a highly competitive market. Cont'd...
Maintaining Precision At Varying Temperatures
High precision transducers are increasingly in demand due to high-performance industrial applications such as precision motor controllers, metering, measurement accessories and test equipment for medical equipment such as scanners and MRI machines.
Give a 3D printer artificial intelligence, and this is what you'll get
Dyllan Furness for Digital Trends: A London-based startup has combined some of today’s most disruptive technologies in a bid to change the way we’ll build the future. By retrofitting industrial robots with 3D printing guns and artificial intelligence algorithms, Ai Build has constructed machines that can see, create, and even learn from their mistakes.
When CEO and founder Daghan Cam was studying architecture, he noticed a disconnect between small-scale manufacturing and large-scale construction. “On one side we have a fully automated production pipeline,” Cam explained at a recent conference in London. “On the other side we’re completely dependent on human labor.” With the emergence of more efficient printing technologies, he thought there must be a better way.
“We wanted to push the boundaries of how intricate we could design things through computation and how we could create them through 3D printing,” Cam said. Cont'd...
High-Performance, High-Speed Motor Breathes Life into Ventilators and Respirators
New motor technology has changed the way modern ventilators and respirators are designed, making them quieter, more compact and more efficient.
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