The Dominion of Design
May 2nd, 2018 by intel
Intel Explainer: ‘Tangle Lake,’ Intel’s 49-Qubit Processor
At CES 2018 in January, Intel CEO Brian Krzanich predicted that quantum computing will solve problems that today take months or years for our most powerful supercomputers to resolve. Krzanich then unveiled Intel’s 49-qubit superconducting quantum test chip, code-named “Tangle Lake.”
Quantum computing is heralded for its potential. Leaders in scientific and industrial fields are hopeful quantum computing will speed advances in chemistry, drug development, financial modeling and climate change.
Quantum computations use quantum bits (qubits), which can be in multiple states at the same time – quite different from digital computing’s requirement that data be either in one state or another (0 or 1, for example). Running a large number of calculations in parallel opens a future where complex problems can be solved in much less time on a quantum computer compared with a traditional digital device.
May 2nd, 2018 by intel
What’s New: Intel and the China Foundation for Cultural Heritage Conservation have created a partnership to protect and restore the Great Wall of China.
“Using drones, we are able to inspect multiple aspects of the structure including areas that are quite inaccessible. We continue to be excited about the future of inspections being automated all the way from drone data capture to data processing, analysis and insights. We look forward to leveraging our technology to aid in the preservation of more world heritage sites in the future.”
Why It Matters: The Great Wall’s Jiankou section is among its most famous stretches, as well as its steepest. Located in thick vegetation, the section of the wall, which dates to the third century B.C., has naturally weathered and requires repair. Intel’s AI and Falcon 8+ drone technologies will be used to remotely inspect and map the Jiankou section, which has been difficult for repair teams to reach.
April 30th, 2018 by intel
What’s New: Intel today released the Intel® Saffron™ AI Quality and Maintenance Decision Support Suite – a suite of artificial intelligence (AI)-powered software applications using associative memory learning and reasoning to facilitate faster issue resolution.
“Customers including Accenture, a major aircraft manufacturing company and even Intel are already receiving tremendous value from Intel Saffron AI software. It digs into disparate data sources to surface customers’ best practices, providing them with the meaningful insights needed to resolve issues faster.”
What It Includes: The Intel Saffron AI Quality and Maintenance Decision Support Suite is comprised of two software applications:
One Use Case: Accenture*, a global professional services company, is already using Intel Saffron AI to help clients resolve issues faster and reduce wasted efforts in product testing and defect resolution.
April 16th, 2018 by intel
At Intel, Drones Reimagine Fireworks and Reinvent Light Shows
By Anil Nanduri
For the last 1,400 years, fireworks were predominantly the only way audiences could experience a light show in the sky. Now, in the 21st century, welcome to the next generation of light shows, thanks to Intel drone light show technology.
From performances on one of the largest international stages – the opening and closing ceremonies of the Olympic Winter Games PyeongChang 2018 where Intel achieved a new Guinness World Records title for the opening ceremony flight – to lighting the Las Vegas Strip and performing with the Fountains of Bellagio, and most recently at the Coachella Valley Music and Arts Festival, Intel has been thrilling crowds and making headlines with our drone light shows.
Press Kit: Drones at Intel
It is believed that fireworks date back to the seventh century, when the people of China first used them to accompany festivities. While fireworks amaze the young and old alike, there are pollution and safety concerns, with many cities banning shows due to the concerns. Additionally, the sound of traditional fireworks is known to upset farm animals, family pets and young children.
Technology courtesy of drone light shows provides an opportunity to experience the night sky in different ways. Think of drone light shows as modern-day fireworks that are green, reusable and more precise, providing programmable control for a new generation of aerial artisans and technicians. And they include innovations that effectively address many of the issues associated with traditional fireworks shows.
April 11th, 2018 by intel
Intel Explainer: 6 Levels of Autonomous Driving
Vehicles on the road today are getting smarter, safer and more capable. But even the newest vehicles vary widely in their advanced driver assistance systems (ADAS), which aim to enhance safety and make driving more comfortable. Add to that the global race to fully self-driving vehicles, which will take the driver out of the equation completely.
Vehicles can be categorized according to the ADAS features they offer, and the Society of Automotive Engineers defines six levels of automotive automation, explained here.
March 1st, 2018 by intel
Members will Receive Resources for Exploring Neuromorphic Computing Use Cases
By Dr. Michael Mayberry
This week, we hosted the Neuro Inspired Computational Elements (NICE) workshop at our Oregon campus with the goal of bringing together researchers from different scientific disciplines to discuss and explore the development of next-generation computing architectures, including neuromorphic computing. Today at the workshop, we provided an update on Intel’s neuromorphic research and announced a collaborative research initiative to encourage experimentation with our Loihi neuromorphic test chip.
Here’s a status of our neuromorphic computing efforts and details on this new research community.
Where We Are
Fabrication and packaging of our Loihi test chip was completed in early November, and we began power-on and validation. We were pleased to find 100 percent functionality, a wide operating margin and few bugs overall. Our small-scale demonstrations that we had prepared on our emulator worked as expected on the real silicon, though, of course, running orders of magnitude faster. Our equivalent of a “Hello World” application is recognizing a 3-D object from multiple viewing angles, structured after the COIL-20 example from Columbia University. As measured at our lab, this particular application uses less than 1 percent of Loihi, learns the training set in seconds and consumes tens of milliwatts.
We shared Loihi architectural details in a paper that IEEE Micro recently published, and we presented those details and several demos to NICE workshop attendees this week.
We have delivered the first developer systems to select research collaborators who are working on a variety of applications including sensing, motor control, information processing and more. Software development tools remain one of our focus areas, and we’re looking forward to running much larger scale applications in conjunction with research collaborators. As we learn more together, we expect progress to accelerate, and that’s where today’s announcement comes in.
January 18th, 2018 by Sanjay Gangal
Where do autonomous vehicles stand today and when will they be ready? How will they operate in connected cities and will consumers be ready to use them? Listen to this panel of experts working on autonomy share their perspectives on the current and future state of self-driving technology.
January 17th, 2018 by Sanjay Gangal
Qualcomm President Cristiano Amon is at CES to showcase the company’s latest inventions that are leading the world to 5G in industries from IoT to automotive.
Median Income of Electrotechnology, IT Professionals Rises to $130,000 for Largest Gain in Past Five Years
November 17th, 2015 by Sanjay Gangal
Article source: IEEE
Median income for electrotechnology and information technology professionals jumped by more than 4 percent in 2014, the largest increase in the past five years, according to the 2015 IEEE-USASalary & Benefits Survey.
Median incomes from primary sources — salary, commissions, bonuses and net self-employment income — for U.S. IEEE members working full-time in their primary area of technical competence (job specialty) rose from $124,700 in the 2013 tax year to $130,000 in 2014.
The 4.25 percent increase comes a year after median income rose by its small percentage over the past five years, .56 percent.
The results are based on survey responses from 10,215 people. Here are median incomes since 2009:
Those employed in communications technology once again enjoyed the highest median earnings ($150,000), followed by circuits and devices ($143,008) and signals and applications ($141,062).
May 5th, 2014 by Sanjay Gangal
What would the Design Automation Conference (DAC) be without a verification panel or two? This year, one in particular takes a look at a variety of verification technologies. Titled, “The Asymptote of Verification,” it will be moderated by Bryon Moyer of EE Journal and held Monday, June 2, from 5:15 p.m. until 6 p.m. in the Pavilion (Booth #313) on the exhibit floor.
Proposed and organized by Graham Bell of Real Intent, users make up the panel and include Brian Hunter of Cavium, Holger Busch at Infineon Technologies and Bill Steinmetz from NVIDIA. Special thanks go to Breker, OneSpin and Real Intent for securing these three experts who will share their real-world experiences with formal verification, static RTL analysis, and graph-based verification. Oh yes, they are users of Breker, OneSpin and Real Intent tools.