We’re taking on industrial automation and AI at the edge in this week’s podcast! First, we take a closer look at a new deep-learning framework developed at UC Santa Cruz that can identify and classify galaxies and stars by analyzing astronomical image data pixel by pixel. Steve Cammish (VP of Edge Solutions, ADLINK) also joins us this week to discuss the biggest challenges of the artificial intelligence in the industrial arena and the details of the Vizi-AI™ Development Starter Kit for Industrial Machine Vision AI at the Edge.

In this week’s podcast, we take a closer look at The COVID-19 Detect & Protect Challenge. Hackster.io co-founder Adam Benzion and I chat about why The United Nations Development Programme and a multinational group of companies got together to create this challenge, the goals, prizes, and details associated with this design challenge, and most importantly, how your open source designs can help make the world a better place. Also this week, we check out new flexible sensor technology developed at MIT that is hoping to make vital sign monitoring a whole lot easier. 

In this week’s Fish Fry podcast, we take on systems on chips, body on chips, and much more!  First up, we check out how Havard’s Wyss University is hoping to change the future of modern drug development and approval. We take a closer look at how this team has pieced together ten “Organ Chips” to create a fully functioning body-on-chip platform and how this new BoC system can give us comprehensive new insights into how prospective drugs will behave throughout the human body. Also this week, I chat with Yorgos Koutsoyannopoulos (Ansys) about the challenges of chip design for 5G, radio-frequency integrated circuit design workflows and how we can all avoid electromagnetic crosstalk nightmares. 

In this week’s Fish Fry podcast, we take a closer look at deep learning model acceleration and the future of Moore’s Law. First up, Tom Smelker (Mercury Systems) and I discuss modular chip design and why he thinks it will be crucial to the next phase of Moore’s Law. Next, we investigate AI hardware and algorithm acceleration with Dr. Mohamed Bergach and Marc Littlefield (Kontron). To finish things up, we take a closer look at the unique design challenges of micro air vehicles and how new research from China's Changzhou and Jiangsu universities could make a sun-powered flapping wing a reality.

This week’s podcast is one part frog embryo, one part embedded design, and one part crystal ball! To start things off, we take a closer look at how a team of research scientists have created a new form of life (a living, programmable organism called a Xenobot) with a little help from African frog embryos, a algorithm that simulates designs for new life-forms, and the Deep Green supercomputer cluster at the Vermont Advanced Computing Core. Also this week, Dunstan Power (ByteSnap Design) and I discuss a variety of design trends for 2020, including the rise of RISC-V, the role of security in embedded design, and why he expects to see a big push into machine learning-driven by tools from Xilinx and Intel.

We’re serving up a double helping of field programmable goodness in this week’s episode of Amelia’s Weekly Fish Fry podcast. Dianne Kibbey (element14) and I dish about this year’s Path II Programmable design series. We discuss the details of this innovative program and how you sign up to participate in this FPGA-based program. Also this week, Geoff Tate (CEO - Flex Logix) and I chat about the history eFPGAs and the motivations behind the launch of their new nnMAX™ Inference Acceleration Architecture and InferX™ X1 Edge Inference Co-Processor.

What has SLAM done for you lately? If you are working on a vision processing application, quite a lot most likely! In this week’s episode of Fish Fry, we welcome Pulin Desai from Cadence Design Systems. Pulin and I chat about the trends driving the need for more vision processing, the current challenges associated with SLAM (simultaneous localization and mapping) and when he thinks it is best to use an AI accelerator in your next vision of artificial intelligence design. Also this week, we check out how a multinational team of research scientists have created the first IC that can emulate the structure of the brain with artificial synapses the a little help from optogenetics.

“Man’s relationship with technology is complex. We always invent technology, but then technology comes back and reinvents us” ― Atul Jalan
 
In this week’s episode of Fish Fry, we investigate the complex role of machine learning in the future of design automation. Norman Chang (ANSYS) joins us to discuss how machine learning will not only change the course of the evolution of EDA but also how we deal with design for reliability and FinFET degradation. Also this week, we check out a newly discovered form of electronic matter called the Vestigial Nematic State and how it was identified with a little help from a suite of especially trained neural networks.

Fish Fry is flying high this week! We start things off with a little News You May Have Missed where we investigate the technology behind Glasgow, Scotland-based Kite Power Solutions. We take a closer look at out how they plan to make kite energy a commercial reality by 2025, and why their high-flying wind energy plans just got a big boost from the Imperial Department of Aeronautics and the UK’s National Wind Tunnel Facility. Also this week, Joe Sawicki (Mentor Graphics) and I are chatting up a storm about EDA in the cloud and why speed and scalability are super important for cloud EDA deployments.