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Posts Tagged ‘Artificial Intelligence’

Homegrown AI Tools at Intel Shorten Design Cycles from Weeks to Hours

Tuesday, April 16th, 2024

For decades, determining exactly where to place heat-sensitive sensors on Intel’s client processors required equal parts science and art.

Circuit designers would be guided by historical data when deciding where to place thermal sensors on the central processing units (CPUs) that go in modern day laptops. They would also rely on experience to know exactly where hotspots tend to flare up. This exhaustive dance could take up to six weeks of testing, running simulated workloads, optimizing sensor placement – and then repeating the process all over again.

Today, thanks to a new augmented intelligence tool developed in-house by Intel engineers, system-on-chip (SoC) designers aren’t waiting six weeks to learn if they hit the sensor sweet spot. They’re getting answers in minutes.

Dr. Olena Zhu, senior principal engineer and AI solution architect in Intel’s Client Computing Group (CCG). (Credit: Intel Corporation)


EDACafe Industry Predictions for 2019 – Weebit Nano Ltd.

Monday, January 7th, 2019

In 2019 the move towards intelligent memory systems will gain momentum together with the rapid growth of applications requiring memories which are faster and able to perform more advanced functions.

New applications, led by Artificial Intelligence, are leading the quest for new types of memories, post Von-Neumann. They require huge memories which are fast and need to also use a lot less power. But more than that – these memories need to be intelligent and able to do a lot more than just store, read and write data. They need to perform smart searches and pattern-matching internally. They need to be distributed among many compute elements and merged into them. These new architectures require new types of memories, including the fast-growing Emerging Non-Volatile Memories.

AI and ML Create Exciting but Challenging 2019 Outlook

Thursday, January 3rd, 2019

2018 was another banner year for the global semiconductor market, with 4th quarter Year-over-Year growth of nearly 23%. However, analysts are not so bullish for 2019, forecasting much more modest +4.4% growth on average.

Much of this is due to the softening memory market. Memory was the key driver for the spectacular semiconductor revenue growth in 2017 and early 2018. But, as more capacity came online, memory prices peaked in the first quarter of 2018, with the current forecast for memory ASP (average selling price) for the 4th quarter of 2018 slightly above Q4 2017.

Fortunately, emerging trends in semiconductor design offer promising areas of growth in 2019. Specifically, the continuing ramp of next-generation technologies, fueled by artificial intelligence (AI) and machine-learning (ML).

Glioblastoma: SynBio, AI, Medical Science, 11th Commandment, and the Future of Thought

Wednesday, September 27th, 2017


During a recent reunion of immediate family members in North Carolina
, we received devastating news that a nephew out in California, a husband and father of three, had just been diagnosed with a glioblastoma, one of the most horrifically aggressive types of cancer.

Back in North Carolina, the reunion group included a nursing administrator, an MD specializing in genetics, a computer scientist expert in AI and ML, two bio-pharma research chemists – one an expert in CAD tools for protein synthesis and the other with expertise in targeted chemo therapies for oncology – as well as a couple of electrical engineers thrown in for good measure.

In other words, it was a custom-built conference for discussing cell physiology, brain function, clinical protocols, targeted therapies, genetic mutation, and the emerging science and software of semiconductor-based artificial intelligence and neuromorphic computing.

What the conference attendees wanted was to give hope to the nephew in California, despite the brutal reality of the current state of the art of treatments for virulently malignant brain tumors. However, after many hours of discussion in North Carolina the group concluded that the situation in California was dire, even hopeless, given what is currently known about glioblastoma.


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