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Archive for October, 2019

Intel Introduces Tremont Microarchitecture

Thursday, October 24th, 2019

What’s New: Today at the Linley Fall Processor Conference in Santa Clara, Calif., Intel revealed the first architectural details related to Tremont. Intel’s newest and most advanced low-power x86 CPU architecture, Tremont offers a significant performance boost over prior generations.

“Tremont is Intel’s most advanced low-power x86 architecture to date. We focused on a range of modern, complex workloads, while considering networking, client, browser and battery so that we could raise performance efficiently across the board. It is a world-class CPU architecture designed for enhanced processing power in compact, low-power packages.”
–Stephen Robinson, Intel Tremont Chief Architect

Why It Matters: Tremont next-generation low-power x86 microarchitecture delivers significant IPC (instructions per cycle) gains gen-over-gen compared with Intel’s prior low-power x86 architectures. Designed for enhanced processing power in compact, low-power packages, Tremont-based processors will enable a new generation of innovative form factors for client devices, creative applications for the internet of things (IoT), efficient data center products and more.
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The Race to Commercially-Viable Quantum Computing Is a Marathon, Not a Sprint

Wednesday, October 23rd, 2019

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.
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Tags: cryoprober, google, Intel, noise-tolerant quantum algorithm, quantum computing, quantum dots, Qubits
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Machine vision + AI = solving some of the toughest societal and business challenges

Tuesday, October 15th, 2019

Intel and Thorn use machine vision plus AI to accelerate victim identification and deter predators.

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.

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When Is AI the Answer to Business Challenges?

Monday, October 7th, 2019

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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