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EE Times Current
EE Times On Air
252 episodes
3 weeks ago
EE Times Current provides a deep dive into the most compelling stories in the electronics industry. Tune in to keep yourself current on what matters to design engineers and other tech industry professionals
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Business News
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All content for EE Times Current is the property of EE Times On Air and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
EE Times Current provides a deep dive into the most compelling stories in the electronics industry. Tune in to keep yourself current on what matters to design engineers and other tech industry professionals
Show more...
Tech News
Technology,
News,
Business News
Episodes (20/252)
EE Times Current
The State of Multi-Die Testing: Essential Insights for Designers
The semiconductor industry is undergoing a shift with the rapid adoption of multi-die design, driven by the promise of improved power, performance, and area (PPA). But with innovation comes complexity, and one of the biggest challenges is ensuring silicon reliability and health through effective multi-die testing.In this episode, we dive deep into the world of multi-die design for test: what it means, how it differs from traditional monolithic design testing, and why it’s critical for the future of semiconductor manufacturing. Learn how testing spans from individual dies to multiple dies to die-to-die links, and why silicon data is essential for maintaining multi-die health during both manufacturing and in-field operations. We will explore the future of multi-die design for test and discuss Silicon Lifecycle Management (SLM) strategies that designers can implement today to stay ahead.
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1 week ago
26 minutes 5 seconds

EE Times Current
IBM Used Mathematics as Compass on Journey to NorthPole
Dharmendra Modha (https://research.ibm.com/people/dharmendra-modha)’s TrueNorth chip added the word neuromorphic to the technorati lexicon back in 2014. In this episode of Brains and Machines (http://brainsandmachines.net/), he talks to Sunny Bains (https://www.sunnybains.com/) of University College London about how that project led to his work on NorthPole and the axiomatic approach he took to design. 
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1 month ago
49 minutes 59 seconds

EE Times Current
Rippling Signals May Provide Working Memory in the Brain
In this episode of Brains and Machines (http://brainsandmachines.net/), Dr. Terry Sejnowski (https://www.salk.edu/scientist/terrence-sejnowski/) talks to Dr. Sunny Bains (https://www.sunnybains.com/) of the University College London about how information flows both ways between neuroscience and engineered intelligence, proposes a new way of looking at memory and considers the Hopfield-Hinton Nobel Prize. 
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2 months ago
51 minutes 14 seconds

EE Times Current
Making Analog Chip Designs Without Analog Designers
Dr. Jennifer Hasler (https://ece.gatech.edu/directory/jennifer-olson-hasler) of Georgia Tech is best known for her work with field programmable analog arrays (FPAAs). In this episode of Brains and Machines (http://brainsandmachines.net/), she talks about the importance of, and progress in, analog electronics for AI with Dr. Sunny Bains (https://www.sunnybains.com/) of the University College London. Discussion follows with Dr .Giulia D’Angelo (https://www.linkedin.com/in/giuliadangelo/) from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings (https://engineering.jhu.edu/faculty/ralph-etienne-cummings/) of Johns Hopkins University.
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3 months ago
48 minutes 21 seconds

EE Times Current
BrainChip’s IP for Targeting AI Applications at the Edge
Dr. Tony Lewis, CTO of BrainChip, and four other key scientists talk to Dr. Sunny Bains (https://www.sunnybains.com/) of University College London. They discuss their business strategy, their temporal event-based neural network (TENN) and the next iteration of the Akida chip. Discussion follows with Dr. Giulia D’Angelo (https://www.linkedin.com/in/giuliadangelo/) from the Czech Technical University in Prague and Prof. Ralph Etienne-Cummings (https://engineering.jhu.edu/faculty/ralph-etienne-cummings/) of Johns Hopkins University.
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3 months ago
47 minutes 2 seconds

EE Times Current
Robots Need Physical, Not Just Artificial, Intelligence
In this episode of Brains and Machines, emeritus Prof. Rodney Brooks (https://rodneybrooks.com/) of Massachusetts Institute of Technology, currently CTO of Robust AI, talks about bottom-up and top-down approaches to robotics and AI with Dr. Sunny Bains (https://www.sunnybains.com/) of University College London. Discussion follows with Dr. Giulia D’Angelo (https://www.linkedin.com/in/giuliadangelo/) from the Czech Technical University in Prague and Prof Ralph Etienne-Cummings (https://engineering.jhu.edu/faculty/ralph-etienne-cummings/) of Johns Hopkins University.
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5 months ago
48 minutes 36 seconds

EE Times Current
A Shift Left Strategy Addresses IC Design Challenges Through Design-Stage Verification
Many IC design teams struggle with tight deadlines and limited resources. The industry is constantly searching for new ways to improve efficiency without compromising design quality. While they might find tools that run incrementally faster, the real gains come from adjustments to the design flow – including what we call ‘shift-left’ strategies that pull signoff-quality verification into the design implementation stage. Join our host, Eric Singer, for a compelling interview with David Abercrombie, Product Management Director of Artificial Intelligence & Licensing Applications at Siemens EDA.
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5 months ago
27 minutes 42 seconds

EE Times Current
Embracing the Efficiency of the Neuromorphic Hairball
Dr. Katie Schuman of the University of Tennessee explains the advantages of evolutionary approaches in neural processing to Dr. Sunny Bains of University College London. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.
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6 months ago
47 minutes 50 seconds

EE Times Current
Chip Combines Analog and Digital Neurons for Sensor Data
Dr. Sunny Bains (https://www.sunnybains.com/) talks to four key figures at Innatera (https://innatera.com/), a spin out from the University of Delft in the Netherlands. They are hoping that their latest spiking neural network chip will become AI of choice for people working on sensor applications. Discussion follows with Dr. Giulia D’Angelo (https://www.linkedin.com/in/giuliadangelo/) from the Czech Technical University in Prague and Prof. Ralph Etienne-Cummings (https://engineering.jhu.edu/faculty/ralph-etienne-cummings/) of Johns Hopkins University.
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7 months ago
48 minutes 44 seconds

EE Times Current
Get Powered by Renesas: Leading Solutions in Automotive and Industrial Applications
Renesas, known for its industry-leading MCU and MPU portfolio, has a comprehensive power management portfolio addressing existing and emerging applications. This compelling interview covers how Renesas is addressing power challenges in the automotive and industrial sectors, including solutions for xEV traction inverters, zonal control, and portable power stations. Renesas’ approach emphasizes complete, scalable designs and rapid prototyping, facilitating faster time to market for manufacturers.
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7 months ago
18 minutes 58 seconds

EE Times Current
Carver Mead Says Neuromorphic Efficiency Can Help AI
UCL’s Dr. Sunny Bains (https://www.sunnybains.com/) talks parallelism, neural net efficiency and risk taking with Caltech’s Prof. Carver Mead (http://www.carvermead.caltech.edu/research.html). Now an emeritus professor, Mead has been instrumental in the development of chip design, and was one of the first employees of Noyce and Moore, which later became Intel. He’s also one of the founders of the field of neuromorphic engineering. Discussion follows with Dr Giulia D’Angelo (https://www.linkedin.com/in/giuliadangelo/) from the Czech Technical University in Prague and Prof. Ralph Etienne-Cummings (https://engineering.jhu.edu/faculty/ralph-etienne-cummings/) of Johns Hopkins University.
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8 months ago
1 hour 5 minutes 53 seconds

EE Times Current
How AI is Changing Every Aspect of EDA
There is a lot of hype in the industry around AI, but behind the hype there is the reality. That reality is that AI really is impacting virtually every aspect of semiconductor design. However, its not as simple as taking general purpose AI solutions and hoping they work for EDA, the risks are too high and when dealing with parts per billion (or trillion) in acceptable errors, hallucinations are not acceptable. What is needed are Verifiable AI solutions that deliver results that users can trust and that reduce the overall resources needed to complete a task. At Siemens EDA we have been able to leverage Verifiable AI to accelerate virtually every aspect of the design and verification process. 
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8 months ago
31 minutes 17 seconds

EE Times Current
Leveraging Safety Processor Expertise to Develop RISC-V Based Automotive Implementations
The podcast interview explores the role of RISC-V in the automotive sector. It begins with a brief introduction to RISC-V, explaining it as an open standard instruction set architecture (ISA). The discussion then shifts to current automotive trends from a processing perspective, highlighting advancements and the increasing importance of robust, high-performance computing. 
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10 months ago
13 minutes 2 seconds

EE Times Current
Next-Gen Neuromorphic Researchers Look to Future
In this special episode of the Brains and Machines (https://brainsandmachines.net/) podcast, Dr. Sunny Bains (https://www.sunnybains.com/) and Dr. Giulia D’Angelo (https://www.linkedin.com/in/giuliadangelo/) talk to four early career researchers: Dr. Kenneth Stewart, a computer scientist at the U.S. Naval Research Laboratory in Washington DC; Dr. Laura Kriener, a postdoctoral researcher at The University of Bern in Switzerland; Jens Pedersen, a Ph.D. student at The Royal Institute of Technology (KTH) in Stockholm, Sweden; and Dr. Fabrizio Ottati, an AI/ML computer architect at NXP Semiconductors in Hamburg, Germany. They discuss learning rules for spiking neural networks, primitives for computations on neuromorphic hardware, and the benefits and drawbacks of neuromorphic engineering. 
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1 year ago
52 minutes 53 seconds

EE Times Current
Preparing for CRA and Open-Source Silicon Security
In this podcast, we talk focus on security, talking to Infineon Technologies about the Cyber Resilience Act (CRA) and its implications for the entire supply chain, plus a chat with zeroRISC about the role of open-source silicon security in embedded systems and IoT.
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1 year ago
33 minutes 12 seconds

EE Times Current
SynSense Research Head Talks Combined Sensing, Processing
In this episode, Dr. Sunny Bains talks to Dr. Dylan Muir, the head of research at SynSense. They discuss the company’s products, including Speck, Xylo, and Rockpool, some of the design choices that were made to bring these to market, and their recent acquisition of sister company IniVation. Discussion follows with Dr. Giulia D’Angelo from the Fortiss research institute in Munich, and Professor Ralph Etienne-Cummings of Johns Hopkins University.
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1 year ago
46 minutes 16 seconds

EE Times Current
AI inferencing, Software Ecosystems and Trends in Industrial Automation
This week’s EE Times Current features three exclusive interviews recently conducted by embedded.com’s editor-in-chief, Nitin Dahad at Embedded World 2024 in Nuremberg. Nitin discussed topics including AI inferencing, Software Ecosystems and Trends in Industrial Automation. 
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1 year ago
28 minutes 52 seconds

EE Times Current
Half-Human–Scale SpiNNaker 2 Machine on Cloud in 2024
In this episode, Dr. Sunny Bains (https://www.sunnybains.com/) talks with Professor Christian Mayr (https://tu-dresden.de/ing/elektrotechnik/iee/hpsn/die-professur/inhaber?set_language=en) from the Technical University of Dresden, who worked on SpiNNaker with Steve Furber for many years. He is taking that project into the future with SpiNNaker 2, which is mostly built, SpiNNaker 3, which is his next design project, and the startup SpiNNcloud (https://spinncloud.com/). Discussion follows with Dr. Giulia D’Angelo (https://www.linkedin.com/in/giuliadangelo/) Marie Curie Fellow at The Czech Technical University in Prague, and Professor Ralph Etienne-Cummings (https://engineering.jhu.edu/faculty/ralph-etienne-cummings/) of Johns Hopkins University.
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1 year ago
43 minutes 25 seconds

EE Times Current
Bio-Inspired Networks to Interface with Nervous System
Dr. Elisa Donati of the Institute of Neuroinformatics in Zurich talks to Dr. Sunny Bains (https://www.sunnybains.com/) about neuromorphic circuits for prosthetics, drug delivery and more. Discussion follows with Dr. Giulia D’Angelo (https://www.linkedin.com/in/giuliadangelo/) from the Fortiss research institute in Munich, and Professor Ralph Etienne-Cummings (https://engineering.jhu.edu/faculty/ralph-etienne-cummings/) of Johns Hopkins University.
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1 year ago
45 minutes 15 seconds

EE Times Current
Choosing the Right Technologies for Hybrid AI Chips
In this episode, Dr. Sunny Bains (https://www.sunnybains.com/) discusses neuromorphic chips with Dr. Amirreza Yousefzadeh (https://people.utwente.nl/a.yousefzadeh), who has most recently worked at imec and the University of Twente. Discussion follows with Dr. Giulia D’Angelo (https://www.linkedin.com/in/giuliadangelo/) from the Fortiss research institute in Munich, and Professor Ralph Etienne-Cummings (https://engineering.jhu.edu/faculty/ralph-etienne-cummings/) of Johns Hopkins University.
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1 year ago
52 minutes 36 seconds

EE Times Current
EE Times Current provides a deep dive into the most compelling stories in the electronics industry. Tune in to keep yourself current on what matters to design engineers and other tech industry professionals