Stephen Hawking: Intel Helped Give Him His Voice

Dr. Stephen Hawking, the renowned British physicist who inspired generations through his accessible descriptions of the cosmos and his public battle with a neurological disorder, shared a long history of innovation with Intel over the years. Hawking, the modern successor to Isaac Newton, died early Wednesday at his home in Cambridge, England.

“Working with Stephen was the most meaningful and challenging endeavor of my life. It fed my soul and really hit home how technology can profoundly improve people’s lives. We will continue developing and refining this technology in the open source community in his honor, to reach all people in need. This is something he cared about deeply,” Lama Nachman, Intel Fellow, said Wednesday.

More: Stephen Hawking: Intel Remembers the Famed Physicist

“On a personal note, while the world mourns an amazing scientist who changed our understanding of the universe, I am mourning a dear friend whom I admired dearly and enjoyed deep conversations with about politics, science and technology. I had planned to see him at the end of the month, and test out our latest tech with him. I will miss him dearly.”

Here are stories about projects involving Hawking and Intel:

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Intel engineer Travis Bonifield holds a replica of the custom PC he recently created for Stephen Hawking.

Stephen Hawking’s New PC (Intel Free Press/Newsroom, 1/10/2012): “Intel application engineer Travis Bonifield has been working closely with Stephen Hawking to communicate with the world for a decade. He’s traveled from the United States to England every few years to hand-deliver Hawking a customized PC.

“Bonifield recently talked about the unique project, the technology that powers the customized system and how Intel co-founder Gordon Moore got Hawking to switch from AMD to Intel.”

Stephen Hawking Celebrates with Silicon (Intel Free Press/Newsroom, 1/23/2013): “Prof. Stephen Hawking showed no signs that his hunger for computer performance has slowed during his 71st birthday celebration this week at the Centre for Theoretical Cosmology in Cambridge, England. Hawking was honored with a unique silicon wafer etched with nanoscale letters.”

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At his 71st birthday celebration, Stephen Hawking was presented with a commemorative 300-millimeter silicon wafer by Martin Curley, vice president of Intel Labs Europe.

One for the Road: Stephen Hawking’s New Computer (Intel Free Press/Newsroom, 3/6/2014): “When British theoretical physicist Stephen Hawking goes on a trip, there is far more at stake than simply buying a new toothbrush. Hawking is afflicted with advanced Lou Gehrig’s disease and communicates through movements of his cheek muscle. If his computer hardware stops working and cannot be repaired, he can’t communicate with the world, but a new custom-built computer system is making Hawking’s travel easier.

“Intel engineer Travis Bonifield recently returned from Cambridge, U.K., after delivering a new computer system to Hawking. This isn’t the first system that Bonifield, based in Hillsboro, Ore., has brought to the famous physicist — he’s been working with Hawking for more than a decade. The latest custom system, a 2 in 1 based on a Lenovo ThinkPad x230t powered by an Intel Core i7 processer, combines a notebook with a 12? tablet that has a daylight readable display.”

New Intel-Created System Offers Professor Stephen Hawking Ability to Better Communicate with the World (Intel News Release, 12/2/2014): “Today Intel demonstrated for the first time with Professor Stephen Hawking a new Intel-created communications platform to replace his decades-old system, dramatically improving his ability to communicate with the world. The customizable platform will be available to research and technology communities by January of next year.”

How Intel Keeps Stephen Hawking Talking with Assistive Technology (Intel iQ, 12/2/2014): “For two years, Intel has worked to upgrade Stephen Hawking’s computer system, a pioneering assistive technology project that will have far-reaching benefits for the disabled.

“Professor Stephen Hawking is arguably as famous for his computerized voice as he is for his ground-breaking work with general relativity and black holes. Intel has been working with Hawking since 1997, helping to maintain and improve the assistive computer system that enables him to interact with the world.

“As Hawking’s motor neurone disease has advanced, his ability to communicate has slowed to one word per minute.”

Stephen Hawking and Intel: Actor Eddie Redmayne Learns History (Intel iQ, 12/11/2014): “Golden Globe-nominated star of “The Theory of Everything” visits Intel to test Hawking’s communication technology, which has the potential to improve lives of disabled people around the world.

“Eddie Redmayne, a London-based actor who plays renowned physicist Stephen Hawking in the new movie ‘The Theory of Everything,’ took time out of his recent press tour to get smart about technology in Silicon Valley. The movie was complete, but Redmayne hungered for better understanding of essential aspects influencing the physicist’s life.”

How Intel Gave Stephen Hawking a Voice (Wired 1/13/15): “Stephen Hawking first met Gordon Moore, the cofounder of Intel, at a conference in 1997. Moore noticed that Hawking’s computer, which he used to communicate, had an AMD processor and asked him if he preferred instead a “real computer” with an Intel micro-processor. Intel has been providing Hawking with customized PCs and technical support since then, replacing his computer every two years.”

Lama Nachman Keeps Stephen Hawking Talking with Assistive Tech (Intel iQ, 6/19/2017): “Believing anything is possible led Lama Nachman to become a groundbreaking engineer in predictive computing – and yes, she is on physicist Stephen Hawking’s speed dial.

“World-renowned physicist Stephen Hawking had fans laughing when he auditioned people to find a replacement for his trademark computer-generated voice. The spoof for Comic Relief’s Red Nose Day last March revealed for many just how iconic Hawking’s voice is and how its sound is imbedded in the way we think about the universe.

“’Stephen’s voice is IP protected,’ said Lama Nachman, a principal engineer at Intel leading the team that helps improve Hawking’s computer interface. ‘He really likes the way that it sounds.'”

Accessing the Mind of a Young Stephen Hawking (Intel iQ, 2/13/2018): “Now digitally accessible to the public through the University of Cambridge, Stephen Hawking’s doctoral thesis laid the foundation for his scientific career.

“Within just a few hours of going live to the public in October 2017, theoretical physicist Stephen Hawking’s 1966 doctoral thesis “Properties of Expanding Universes” was accessed 60,000 times, becoming the most viewed document in the University of Cambridge’s Apollo digital repository.

“At times, demand was so great that the site crashed. Since October, the dissertation has been viewed nearly 682,000 times, according to the Cambridge research repository.”

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Innovative Drone Mapping Techniques Help Manage Oil and Gas Facilities More Efficiently

Aerial modelling and inspections using commercial-grade drones offer compelling advantages for the resource sector by increasing safety, saving time and reducing survey costs. Airscope*, a Perth, Australia-based inspections and asset visualization company, has used the Intel® Falcon™ 8+ drone to extend these benefits further by developing computer-generated 3-D models of entire hydrocarbon processing facilities off the North West shelf of Australia and in the Cooper Basin, effectively bringing the field into the boardroom for more effective asset management.

Industrial digitization or “Industry 4.0” is predicted to generate US$421 billion in cost reductions and additional revenue each year for the next five years worldwide, according to a report by PwC.1 3-D modelling of resource assets by companies like Airscope is one way of contributing to and driving this digital revolution that is transforming industry.

More: Drones at Intel | Santos Moomba Gas Plant Data Sets

Airscope’s director, Chris Leslie, and its chief controller, Francois Alberts – both trained commercial airline pilots – saw the potential opportunities drone technology could offer to the resource sector. They reshaped their careers to work with software, survey and geospatial specialists to develop new ways for large resources companies to manage their physical assets.

“When people think of drones operating in industrial applications, they think of inspections collecting data from hard-to-reach places,” Leslie said. “Our business has evolved beyond this where the real efficiencies and return on investment for the client come from providing a digital 3-D representation of their physical assets.

“We made the transition to asset visualization because UAV inspection only gave clients a fraction of the story; without context, the full potential of images captured cannot be realized. So now we create a virtual canvas of the entire site using airborne photogrammetry, ground photogrammetry and laser scanning. Once the virtual canvas is created, you can paint any operational or planning data on it, to serve as a human medium to access and interact with big data.

“You could compare this technology to how our lives have changed with innovations such as the smartphone – the time savings and benefits are hard to quantify,” Leslie added. “The benefits are multiplied when looking at clients managing large-scale resource sites due to the number of employees and the potential cost to the business if decisions are made based on inaccurate or incomplete information. Early indications by clients currently implementing asset digitization into their operations suggest day-to-day cost reductions of between 3.6 and 10 percent dependent on industry, and capital works projects being reduced by more than 20 percent. We are entering a period where decisions are being determined by the data at hand and companies that haven’t started their transformation towards digitization will be left behind.”

Intel Falcon8 Airscope 3

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Recently, Airscope worked alongside drone manufacturer, Intel Corporation, and local Australian distributor, Position Partners*, to deliver 3-D models of Santos*-operated facilities in Australia’s Cooper Basin. Santos enlisted Airscope to provide not only large-scale virtual models, but also inspection services of critical assets, which are challenging to monitor using traditional methods.

“When looking for the best drone for modelling these challenging landscapes, we compared 37 different aircraft that all claimed to be up to the specifications we needed,” Alberts said. “When Intel’s distributor, Position Partners, showed us the Intel Falcon 8+ drone, we found it to be the only aircraft which met our expectations, for its reliability, stability and true 3-D modelling capabilities.”

The Intel Falcon 8+ is a multirotor-style drone that, through pre-programmed flight plans, is able to capture hundreds of aerial images per flight. These images are then collated and stitched together to form a holistic 3-D model through the photogrammetry process. Due to the accuracy of images capture by the Intel Falcon 8+, Airscope can incorporate laser scanning data into photogrammetry to make the model accurate enough for use in detailed engineering design of major infrastructure projects.

“Intel is committed to producing high-quality, commercial-grade drones that will excel in challenging environments such as the Moomba Gas Plant,” said Anil Nanduri, vice president and general manager of the Drone Group at Intel. “Looking ahead, we will see a greater focus on automation of both the data capture and more importantly data analysis. This will unlock the ability for greater analyses and inference of large data sets that will be captured entirely by drones, allowing businesses to reduce operational expenses by assessing and predicting maintenance needs.”

The quality and rate of data captured from systems such as the Intel Falcon 8+ drone increases efficiencies and lowers operating costs, while around-the-clock access to a full model of the plant on the Airscope Visualize* platform reduces preparation work and disruption to the operation. It also eliminates risks for activities such as working at height or exposure to hazardous working environments.

“The quality and quantity of data we’re able to access from the Intel Falcon 8+ drone just wouldn’t be possible with any other method or technology,” Leslie said. “Moreover, our clients can see every asset from every angle and perspective, providing better situational awareness, insight and increased accuracy for making big decisions.”

1PricewaterhouseCoopers 2016, “Industry 4.0: Building the digital enterprise”, p.4

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Intel Drones Go for Gold in Live Performance During 2018 Olympic Winter Games Closing Ceremony

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Intel Shooting Star drones form the image of Soohorang, the official Olympic mascot, walking in the sky as part of a Olympic Winter Games PyeongChang 2018 Closing Ceremony rehearsal. Intel is providing drone technology at the Olympic Winter Games, which began Feb. 9, 2018, in South Korea. (Credit: Getty Images)

During the Olympic Winter Games PyeongChang 2018 Closing Ceremony, 300 Intel® Shooting Star™ drones took flight to celebrate the triumphant athletes who competed in this year’s games. The aerial performance painted colorful illustrations in the sky, including the Olympic mascot – Soohorang, the white tiger – who comes running in above the stadium, cheering on the athletes and creating a heart outline in the sky. The Intel Shooting Star drones create a volumetric heart, symbolic for gratitude and love towards the Olympic athletes.

Press Kits: Intel at the Olympics | Drones at Intel

Intel kicked-off the Olympic Winter Games with a Guinness World Records* title-breaking performance of more than 1,200 drones flown simultaneously during a pre-recorded broadcast for the opening ceremony. Additionally, the Intel Shooting Star drones soared to celebrate the Olympians at nightly victory ceremonies – when weather  and logistics permitted – creating illustrations of Soohorang, the PyeongChang logo and athletes such as skiers, hockey players and curlers across the nighttime sky.

“Just like Soohorang, our Intel drones team has a challenging spirit and passion to push the limits and make amazing experiences possible,” said Natalie Cheung, general manager of the Intel drone light show team. “It’s been an honor to celebrate such magnificent athleticism and teamwork with Intel drone light shows, and a victory for us to see our animations of the games come to life.”

Intel has created an entirely new entertainment concept by producing drone light shows featuring hundreds of Intel Shooting Star drones all controlled by one pilot. The drones are custom-built for entertainment purposes with a lightweight structure. Each one emits more than 4 billion color combinations. Intel Shooting Star drones have starred in previous light shows at various high-profile marquee events in 10 different countries, most recently integrated with the Fountains of Bellagio at CES 2018.

For full details on Intel Shooting Star drones, read the drone show fact sheet. For information on Intel’s TOP worldwide partnership, visit the company’s Olympic Games news portal, which includes an interactive map of Intel’s activities in PyeongChang. For other details regarding the Olympic Winter Games PyeongChang 2018, visit www.olympic.org.

Closing Ceremony Photos

Intel Shooting Star drones form the image of Soohorang, the offi

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Intel, the Intel logo and Intel Shooting Star are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

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A Pet Frog Inspires a Passion for Fail-Safe Technology

Riccardo Mariani
Riccardo Mariani, an Intel Fellow based in Pisa, Italy, is passionate about designing computing systems that keep people safe, and about tackling cycling road races. (Photo courtesy of Riccardo Mariani)

How he’d describe his work to a 10-year-old: “Functional safety is to an electronic system—such as a computer, robot or car—what your immune system is to your body: It protects you from harm if that system malfunctions or fails.”

More: Read about all Intel Innovators

Why functional safety is critically important for self-driving cars: Functional safety systems could, for example, prevent an autonomous car from braking by mistake and triggering an accident, or could stop an airbag from deploying unintentionally. Functional safety concepts also apply to the Internet of Things. For example, in a state-of-the-art factory, robots have to work safely alongside humans. Protecting people from electronic system malfunctions or failures is a critical element in designing an autonomous future, and is influencing how Intel designs future generations of processors.

Why he cares so much about functional safety: Growing up, Riccardo had a pet frog and was intrigued as he considered the many different things that could go wrong — the ways its tank enclosure could fail — without hurting his amphibian pal. “Since I was a child my passion has been to understand how things may fail,” he explains. “It is my way to understand how things work and also to be ready to react in any situation.”

His path to Intel Fellow: In 2000, Riccardo co-founded Italy-based Yogitech, a company that specialized in functional safety. After Intel acquired Yogitech in 2016, he joined Intel as a Fellow and is one of the few employees outside the U.S. who’ve been named to the company’s highest technical ranks.

He’s a strong advocate for inclusion, which is deeply personal for him: “Since I was a child, I’ve had a stutter to my speech,” Riccardo says. “Talking is a challenge for me and it’s a continuous effort, but Intel has been exceptionally supportive. I have been approved as an official spokesperson without any problem. I am proud to be part of a company that prioritizes inclusion.”

A passion for climbing big hills: Riccardo is an avid road cyclist. “I like to climb famous mountains such as Stelvio, Mont Ventoux, Tourmalet and Galibier,” he says. “I had a dream to form an Intel bike team joining the most challenging races all over the world.” His dream comes true on July 1, when the new Intel bike team will take on the Maratona dles Dolomites, the most famous road bike marathon in the Italian Alps. Not surprisingly, he’s equipped his bike’s wireless gear system with two interchangeable batteries—if one fails, he’ll be able to keep riding.

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Bobbleheads as Tools to Test Neuromorphic Chips

Mike Davies
Mike Davies, Intel’s neuromorphic computing program leader, holds a bobblehead of scientist Rosalind Franklin that Loihi, Intel’s self-learning research chip, quickly learned to identify. (Photo credit: Tim Herman/Intel Corporation)

How he’d describe his job to a 10-year-old: “We’re working to understand the operation of the brain and copy it on a computer chip.”

More: Read about all Intel Innovators

Bobbleheads and brains: Mike Davies recently showed the promise of neuromorphic computing to build computing systems that work more like our brains. He used Intel’s new self-learning research chip — codenamed Loihi — which mimics how the brain learns based on feedback from the environment. Loihi was able to rapidly distinguish — in just four seconds, and based on a handful of photos — among a rubber duck, an elephant figurine and a bobblehead of scientist Rosalind Franklin. “It’s a small but exciting example of how neuromorphic computing could deliver more efficient artificial intelligence,” Mike says. “While this is a proof-of-concept that uses less than 1 percent of the chip’s resources, it shows that the architecture works, and we expect to see orders of magnitude gains in efficiency as the networks are scaled up to larger problems.”

How we will experience neuromorphic in the future: The list is long. Mike predicts that robotics will be the killer app for neuromorphic computing. He foresees smart surveillance cameras that can trigger an alarm if an intruder enters a room. He envisions industrial applications that will monitor everything from ball bearings to bridges. “These neuromorphic chips will one day provide productivity benefits to otherwise tedious, time-intensive jobs for humans,” he says.

A new approach to computer architecture: Here’s the thing about Central Processing Units (CPUs): Human brains still possess far more raw computational power than the most advanced supercomputers. Traditional computing architecture has long rested on two distinct elements: processor and memory. Neuromorphic computing upends that model. It’s more like the 86 billion neurons inside our brains, which use data to learn, make inferences and get smarter over time. “It’s a complete rethinking of computer architecture,” Mike says.

Restless and ready: After earning a master’s degree in electrical engineering from Caltech, Mike, who holds five patents, came to Intel in 2011 through the acquisition of Fulcrum Microsystems, a firm that commercialized asynchronous design research for Ethernet switch silicon. After working on five generations of switches, “I started getting restless and wanted a new challenge,” he says. So he decided to shop the asynchronous approach around Intel. “It turned out that asynchronous design was really well suited for neuromorphic chips,” Mike say. Intel Labs, the company’s research arm, immediately put Mike and his team to work.

Pioneering brains: Replicating the power of the human brain has been a goal of computer science from its earliest days. Mike points out that half a century ago both Alan Turing, the father of theoretical computer science and artificial intelligence, and John von Neumann, the mathematician and computer scientist, used the language of neurons and brains in their work. Von Neumann’s 1958 classic was entitled “The Computer and the Brain.” Neuromorphic computing researchers are now in the early stages of learning to mimic the brain’s basic processes. “We’re not trying to build a high-level architectural copy of the brain with a hippocampus and a neocortex,” Mike says, adding, “Not yet.”

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Accidental Career as a Drone Show Maestro

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Natalie Cheung holds one of the 1,218 Intel Shooting Star drones that were a highlight of the Olympic Winter Games Opening Ceremony. (Photo credit: Intel Corporation)

How she’d describe her job to a 10-year-old: “My group uses drones with lights to tell stories in the sky. We have created new technology that can create digital fireworks.”

More: Read about all Intel Innovators

Another show, another world record: Natalie and her drone team just set their fourth Guinness World Record title at the Olympic Winter Games in PyeongChang, South Korea, when they flew a fleet of synchronized Intel Shooting Star drones — 1,218 of them — in the air at once. In January in Las Vegas, Natalie’s drone team set a new indoor world record, flying 110 drones at Intel CEO Brian Krzanich’s CES keynote, the drones circling overhead and their lights flashing in perfect synchrony. “Watching them light up and animate the sky is one thing,” she says, “but to think that they’re all being controlled by one computer with just one pilot really showcases the technology Intel has created.”

The accidental career: Natalie didn’t see herself managing drone light shows around the world when she joined Intel in 2011 as a systems engineer fresh out of MIT with a master’s degree in electrical engineering and computer science. She was working  as a research assistant to Krzanich when Intel acquired the drone company Ascending Technologies. In an impromptu hallway conversation with her boss, they came up with the idea of flying 100 drones at the same time in front of an Intel building. After four successful 100-drone shows, she turned a passion project into a full-time job. “My family didn’t get it at first,” Natalie says, “but then I had the chance to take them to Disney World where we were doing a Christmas light show. They got it when they saw it live. It was a really fun moment.”

A high-flying job: Ask Natalie how she is and she may admit, “I’m a bit jet-lagged.” Last summer, she flew to South Korea to pitch a drone show to Olympic officials. Before that, the team staged custom light shows for Lady Gaga’s 2017 NFL Super Bowl Halftime show, Coachella Valley Music and Arts Festival, and a special “Wonder Woman” event at Los Angeles’ Dodger Stadium. She’s also lit up night skies with shows in Japan, Singapore, Indonesia and Australia. “I’m so passionate about what I’m doing,” she says, “that it doesn’t seem like work.”

‘Magic in the sky’: Natalie sees a day when drones will enhance or even replace fireworks. She believes “we are changing nighttime entertainment.” Her team recently received a thank you message from a grateful father whose daughter suffers from a sensory processing disorder that prevents her from watching loud fireworks shows. “It’s the small things like that to make us want to expand drone light shows,” Natalie  says. She recalls a child at a recent light show who called the drones “light fairies.” They might not understand the technology, she says, but “they see this magic in the sky.”

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Intel Sees Promise of Silicon Spin Qubits for Quantum Computing

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Intel Corporation has invented a spin qubit fabrication flow on its 300 mm process technology using isotopically pure wafers, like this one. (Credit: Walden Kirsch/Intel Corporation)

Quantum computing is heralded for its potential to tackle problems that today’s conventional computers can’t handle. Scientists and industries are looking to quantum computing to speed advancements in areas like chemistry or drug development, financial modeling, and even climate forecasting.

To deliver on quantum computing’s potential, Intel initiated a collaborative research program in 2015 with the goal of developing a commercially viable quantum computing system.

Press Kit: Quantum Computing

While there’s been significant progress, quantum computing research is still nascent. The industry is at mile one in a marathon, and to realize this new computing paradigm, many problems must be solved and many architectural decisions must be made. For example, it’s not yet clear what form quantum processors (or “qubits”) will take. That’s why Intel is placing two major research bets and investing in them equally.

One possible form is superconducting qubits. Intel is making fast progress in developing this type of test chip, which others in the industry and academia are also pursuing. Additionally, Intel is researching an alternative structure, which draws on the company’s world-class expertise manufacturing silicon transistors. This alternative architecture is called “spin qubits,” which operate in silicon and could help overcome some of the scientific hurdles to take quantum computing from research to reality.

What is a spin qubit?

Spin qubits highly resemble the semiconductor electronics and transistors as we know them today. They deliver their quantum power by leveraging the spin of a single electron on a silicon device and controlling the movement with tiny, microwave pulses.

Electrons can spin in different directions. When the electron spins up, the data signifies the binary value 1. When the electron spins down, the data signifies the binary value 0. But, similar to how superconducting qubits operate, these electrons can also exist in a “superposition,” which means they have the probability of a spin that’s up and down at the same time and, in doing so, they can theoretically process tremendous sets of data in parallel, much faster than a classical computer.

Why research spin qubits?

Among the challenges researchers must overcome before quantum computing can become a commercial reality, is the incredibly fragile nature of qubits. Any noise or unintended observation of them can cause data loss. This fragility requires them to operate at extremely cold temperatures, which creates challenges for the material design of the chips themselves and the control electronics necessary to make them work. Superconducting qubits are quite large and they operate in systems the size of 55-gallon drums, which makes it hard to scale up the design of the quantum system to the millions of qubits necessary to create a truly useful commercial system.

Spin qubits, in comparison to their superconducting counterparts, offer a few advantages in addressing these challenges.

They’re small and strong: Spin qubits are much smaller in physical size and their coherence time is expected to be longer – an advantage as researchers aim to scale the system to the millions of qubits that will be required for a commercial system.

They can function at higher temperatures: Silicon spin qubits can operate at higher temperatures than superconducting qubits (1 kelvin as opposed to 20 millikelvin). This could drastically reduce the complexity of the system required to operate the chips by allowing the integration of control electronics much closer to the processor. Intel and academic research partner QuTech* are exploring higher temperature operation of spin qubits with interesting results up to 1K (or 50x warmer) than superconducting qubits. The team is planning to share the results at the American Physical Society (APS) meeting in March.

Intel manufacturing know-how: The design of the spin qubit processors highly resembles the traditional silicon transistor technologies. While there are key scientific and engineering challenges remaining to scale this technology, Intel has the equipment and infrastructure from decades of fabricating transistors at scale.

What is the status of spin qubits research?

This week at the American Association for the Advancement of Science (AAAS) Annual Meeting, QuTech, will present on its success creating a two-qubit spin-based quantum computer that can be programmed to perform two simple quantum algorithms. This development paves the way to larger spin-based processors capable of more complex applications. You can read more in a related Nature article, which published today.

And, Intel has invented a spin qubit fabrication flow on its 300 mm process technology using isotopically pure wafers sourced specifically for the production of spin-qubit test chips. Fabricated in the same facility as Intel’s advanced transistor technologies, Intel is now testing the initial wafers. Within a couple of months, Intel expects to be producing many wafers per week, each with thousands of small qubit arrays.

Going forward, Intel and QuTech will continue research on both superconducting and spin qubits across the entire quantum system – or “stack” – from qubit devices to the hardware and software architecture required to control these devices as well as quantum applications. All of these elements are essential to advancing quantum computing from research to reality.

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2018 CES

We are entering an artificial intelligence revolution.

To power the technology of the future and create amazing new experiences, we need to unlock the power of data. Its collection, storage and analysis continue to change and grow, having more of an impact on our everyday lives than ever before.

With advances in artificial intelligence, 5G connectivity, autonomous driving and virtual reality, Intel is taking the next steps at CES 2018 to reimagine how data will create amazing new experiences that will transform our daily lives.

Latest News

Event Details

2017 CES PHOTOS

Photos from Intel’s CES Booth

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Photos from Intel’s VR News Conference

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2017 CES VIDEOS

2017 CES: Highlights from Intel’s Products and Experiences (B-roll)

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2018 CES

We are entering an artificial intelligence revolution.

To power the technology of the future and create amazing new experiences, we need to unlock the power of data. Its collection, storage and analysis continue to change and grow, having more of an impact on our everyday lives than ever before.

With advances in artificial intelligence, 5G connectivity, autonomous driving and virtual reality, Intel is taking the next steps at CES 2018 to reimagine how data will create amazing new experiences that will transform our daily lives.

Latest News

Event Details

2017 CES PHOTOS

Photos from Intel’s CES Booth

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» Download image set 1 (ZIP, 142 MB)
» Download image set 2 (ZIP, 17 MB)


Photos from Intel’s VR News Conference

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2017 CES VIDEOS

2017 CES: Highlights from Intel’s Products and Experiences (B-roll)

» Download video: “2017 CES: Highlights from Intel’s Products and Experiences (B-roll)”
» Download video: “2017 CES: Intel Presents a World of Virtual Reality Experiences (Replay)”
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Intel Accelerates Development of Artificial Intelligence Solutions with Open Neural Network Exchange Support

Today, Intel announced that it joined the Open Neural Network Exchange (ONNX) to enable enhanced framework interoperability for developers that boosts efficiency and speeds creation of artificial intelligence (AI) and deep learning models. AI and deep learning are transforming how people engage with the world and how businesses make smarter decisions.

Press Kit: Artificial Intelligence

The ONNX format was first announced last month by Microsoft* and Facebook* to give users more choice within AI frameworks, as every modeling project has its own special set of requirements that often require different tools for different stages. Intel, along with others, is participating in the project to provide greater flexibility to the developer community by giving access to the most suitable tools for each unique AI project and the ability to easily switch between frameworks and tools.

Intel’s addition to the open ecosystem for AI will broaden the toolset available to developers through neon and the Intel® Nervana™ Graph as well as deployment through the Intel® Deep Learning Deployment Toolkit. neon will be compatible with other deep learning frameworks through the Intel Nervana Graph and ONNX, providing customers with more choices for frameworks and compatibility with the right hardware platform to fit their needs.

Currently, the ONNX format is supported by Microsoft Cognitive Toolkit*, Caffe2* and PyTorch*, with capabilities expanding over time. Through the increased interoperability and vast hardware and software ecosystem fostered by ONNX and Intel, developers can construct and train models at an accelerated pace to deliver new AI solutions.

Project Brainwave, Microsoft’s FPGA-based deep learning platform for accelerating real-time AI, will also support ONNX in order to help customers accelerate models from a variety of frameworks. Project Brainwave leverages Intel® Stratix® 10 FPGAs to enable the acceleration of deep neural networks (DNNs) that replicate “thinking” in a manner that is conceptually similar to that of the human brain. Microsoft was the first major cloud service provider to deploy FPGAs in its public cloud infrastructure and the technology advancements it is demonstrating today with Intel Stratix 10 FPGAs.

To learn more about how Intel and ONNX are making AI more accessible across industries, visit this Intel Nervana blog post.

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