October 23rd, 2019 by intel
Recent Findings Should be Celebrated, but Practical Realities are the Real Test
By Rich Uhlig
Quantum computing receives a lot of attention due to its potential to take on problems beyond the reach of today’s computers, such as new drug discovery, financial modeling and exploring how the universe works.
Universities, governments and technology companies around the world are striving to achieve a commercially-viable quantum computing system. While the collective progress is real – and is getting noticed – the field is still at mile one of what will be a marathon toward quantum computing’s commercialization.
That said, important milestones along this journey should be recognized, celebrated and built upon.
More Promising Results
As researchers at Intel and across the globe are discovering, quantum computing has the potential to tackle problems that conventional computing – even the world’s most powerful supercomputers – can’t quite handle.
Today, it was confirmed that researchers from Google had demonstrated the extraordinary speed of quantum, as compared to traditional supercomputers, with a benchmark test known as “quantum supremacy.” The Google team designed an algorithm that could run an analysis in 200 seconds on a small quantum processor, a 53-qubit superconducting test chip, that would take the most powerful supercomputer approximately 10,000 years to perform.
For this demonstration, we congratulate the team at Google.
Read the rest of The Race to Commercially-Viable Quantum Computing Is a Marathon, Not a Sprint
Tags: cryoprober, google, Intel, noise-tolerant quantum algorithm, quantum computing, quantum dots, Qubits
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October 15th, 2019 by intel
In a recent blog, I discussed Intel’s work with Thorn, an organization that leverages technology to fight child sex trafficking. Intel and Thorn use machine learning to match online images of children in sexually explicit content with images of known missing children. With the power of artificial intelligence (AI), we hope to accelerate victim identification, disrupt the platforms that host this content and deter predators. This is an excellent example of how technology can be an important weapon in the fight to protect children.
Intel’s work with Thorn combines artificial intelligence and machine vision to help solve business and societal challenges. Human visual perception is an important part of many tasks, especially when success depends on subtle variables that are beyond the reach of simple “if-then” algorithms. On the other hand, humans have limited capacity to evaluate and compare many detailed visual tasks at once. The breakthrough comes when we can marry human-quality visual perception with the computational capacity of AI. This powerful combination of technologies has applications across automatic inspection and process control in manufacturing, agriculture, healthcare, and many other industries.
Read the rest of Machine vision + AI = solving some of the toughest societal and business challenges
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October 7th, 2019 by intel
Unless IT and lines of business are on the same page, new enterprise technology initiatives are doomed to fail. You can prevent it.
Key Takeaways
- Understanding the challenges faced by lines of business within an organization will enable AI to transition from a novelty to a critical analytics function
- Marketing departments can derive significant value from the potential of AI to analyze massive data sets
- CFOs will be interested in AI’s ability to automate processes, manage risk, and detect fraud
Consider what challenges AI might help marketing overcome. And how might these differ from the challenges faced by finance? With these two lines of business earmarked as areas of strong opportunity for AI, considering these questions is critical to understanding how IT
The CMO: Building deeper connections with customers
Adoption of AI-based technologies within marketing is fairly mature relative to the enterprise a whole, and most marketing leaders anticipate AI will be the technology area that experiences the most growth over the next two years.1
According to Salesforce, 51 percent of marketing leaders already use AI, with more than a quarter planning a pilot in the next two years.1
51% of marketing leaders already use AI, and more than a quarter are planning a pilot within the next two years.2
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What's New: Today, Intel announced that an 8 million-neuron neuromorphic system comprising 64 Loihi research chips — codenamed Pohoiki Beach — is now available to the broader research community. With Pohoiki Beach, researchers can experiment with Intel's brain-inspired research chip, Loihi, which applies the principles found in biological brains to computer architectures. Loihi enables users to process information up to 1,000 times faster and 10,000 times more efficiently than CPUs for specialized applications like sparse coding, graph search and constraint-satisfaction problems.
“We are impressed with the early results demonstrated as we scale Loihi to create more powerful neuromorphic systems. Pohoiki Beach will now be available to more than 60 ecosystem partners, who will use this specialized system to solve complex, compute-intensive problems.”
–Rich Uhlig, managing director of Intel Labs
Why It's Important: With the introduction of Pohoiki Beach, researchers can now efficiently scale up novel neural-inspired algorithms — such as sparse coding, simultaneous localization and mapping (SLAM), and path planning — that can learn and adapt based on data inputs. Pohoiki Beach represents a major milestone in Intel's neuromorphic research, laying the foundation for Intel Labs to scale the architecture to 100 million neurons later this year.
Read the rest of Intel’s Pohoiki Beach, a 64-Chip Neuromorphic System, Delivers Breakthrough Results in Research Tests
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An Emerging Leader in Ethernet Switch Silicon for the Data Center, Barefoot Networks will Help Intel’s Data Center Group Meet the Rapidly-Changing Needs of Hyperscale Cloud Customers
 By Navin Shenoy
Intel's customers operate in a world that is growing and transforming by leaps and bounds. We've discussed previously the amazing fact that over half of the world's data was generated in the past two years and only 2% of that data has been analyzed. Driven by that reality, we're always asking ourselves how we can better enable our customers to harness the potential of this data, by moving, storing and processing it with the speed and efficiency that they demand.
An essential part of the equation is providing data center interconnects that can keep pace with our customers' extraordinary and growing requirements. This is why interconnect is one of our six technology pillars in which we are investing to serve our customers.
With this in mind, Intel has signed an agreement to acquire Barefoot Networks, an emerging leader in Ethernet switch silicon and software for use in the data center, specializing in the programmability and flexibility necessary to meet the performance and ever-changing needs of the hyperscale cloud. Upon close, the addition of Barefoot Networks will support our focus on end-to-end cloud networking and infrastructure leadership, and will allow Intel to continue to deliver on new workloads, experiences and capabilities for our data center customers.
Read the rest of Intel to Acquire Barefoot Networks, Accelerating Delivery of Ethernet-Based Fabrics
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May 13th, 2019 by Sanjay Gangal
Sanjay Gangal interviewed Ben Levine, Senior Director of Product Marketing at Rambus at headquarters.
Sanjay: Tell us about your presentation at the IP-SoC Conference.
Ben: My focus area is on security, in particular hardware security cores, the idea being that you want security embedded in really any chip to provide security to the rest of the chip in the system. So my talk today was talking about that, particularly for connected devices. The fact that everything is connected to the internet these days means that every device is now exposed to a wide range of threats and attackers. So you need really strong security. So I just talked about some of the challenges, particularly around not only devices being connected, but devices being complex, what the impact is on security, and how you can solve some of those problems with our hardware security core.
Read the rest of Interview with Ben Levine, Senior Director of Product Marketing at Rambus at headquarters..
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April 30th, 2019 by Sanjay Gangal
Sanjay Gangal interviewed John Mitchell, President and CEO of APEX/IPC 2019.
SG: How is IPC show been going?
JM:: IPC Apex Expo has been going great, we're very excited. Those exhibitors here have been having a great show, doing a lot of great business, selling product. The standards committee meetings have been going on since Saturday, will go for all the way through Saturday and then we have many different education programs going on in our professional development segment as well, and the attendance has been off the charts. It's been great.
Read the rest of Interview with John Mitchell, President and CEO of APEX/IPC 2019.
Tags: CFX, IPC, John Mitchell
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March 14th, 2019 by intel
What’s New: At the Open Compute Project (OCP) Global Summit, Intel today announced new open hardware advancements enabling greater computing capabilities, innovation and cost efficiencies for data center hardware developers. The new advancements include a high-density, cloud-optimized reference design; collaboration with Facebook on the upcoming Intel Cooper Lake processor family; and optimization on Intel’s Rack Scale Design.
 Jason Waxman, Intel corporate vice president in the Data Center Group and general manager of the Datacenter Solutions Group, speaks Thursday, March 14, 2019, during a keynote address at the Open Compute Project Global Summit in San Jose, Calif. (Credit: Jurgen Project Productions) “OCP is a vital organization that brings together a fast-growing community of innovators who are delivering greater choice, customization and flexibility to IT hardware. As a founding member of this open source community, Intel is committed to delivering innovative products that help deploy infrastructure underlying the services that support the digital economy.”
–Jason Waxman, Intel corporate vice president, general manager and data-centric chief strategy officer
Read the rest of Intel Advances Hardware, Cloud and Connectivity at Open Compute Project Global Summit
Tags: AI, Coopler lake, Intel Xeon, OCP Global Summit, Scalable Processors
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March 13th, 2019 by intel
What’s New:A computer science research group from the Hebrew University of Jerusalem has mathematically proven that artificial intelligence (AI) can help us understand quantum physics phenomena. The results have been published in Physical Review Letters. Intel Senior Vice President and Mobileye CEO Prof. Amnon Shashua shared the group’s findings during a keynote Wednesday at the Science of Deep Learning Conference hosted by The National Academy of Sciences in Washington, D.C.
 Intel Senior Vice President and Mobileye CEO Prof. Amnon Shashua speaks Wednesday, March 13, 2019, at the Science of Deep Learning Conference hosted by The National Academy of Sciences in Washington, D.C. A computer science research group led by Shashua from the Hebrew University of Jerusalem has mathematically proven that artificial intelligence can help us understand quantum physics phenomena. (Credit: Intel Corporation) “Our research proves that the AI algorithms can represent highly complex quantum systems significantly more efficiently than existing approaches.”
–Prof. Amnon Shashua, Intel senior vice president and Mobileye president and CEO
Read the rest of Intel Executive Leads Artificial Intelligence Researchers Linking AI to Quantum Physics Insight
Tags: Deep learning, quantum physics
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Deploying vision capabilities on edge platforms requires difficult tradeoffs between latency, throughput, memory footprint, communication bandwidth, power, and cost. Luckily, there’s an ever-growing diversity of hardware choices to allow system designers to select the best option that meets their needs. Historically, hardware diversity also implied time-consuming software development to port vision applications and algorithms to a new hardware target and optimize for real-time constraints. Intel® is working with the industry to solve the puzzle of hardware diversity for traditional and deep learning-based vision at the edge.
The Intel® Distribution of OpenVINO™ toolkit (which stands for Open Visual Inference and Neural Network Optimization) enables developers to streamline the deployment of deep learning inference and high-performance computer vision applications across a wide range of vertical uses cases at the edge. The toolkit is compatible with popular open source deep learning frameworks, and enables developers to easily target execution on CPUs and accelerators (GPUs, FPGAs, VPUs, and so on) specially designed for AI inference, such as Intel® Vision Accelerator Design Products. The beauty of the toolkit is that it provides a unified and common abstraction layer for AI inference across diverse hardware targets, with a comprehensive and intuitive API that merges simplicity with optimized performance. Software simplicity and performance – just what the developer ordered!
Read the rest of Software Simplicity: The Solution to Vision at the Edge
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