Hardware Podcasts

Self-Driving: Failure by Design | TinyML | Alibaba’s IC Means So Much

EE Times Current · 2 Aug 2019 · 29m

What this episode covers

Junko Yoshida and Nintendra Had discuss Alibaba's release of the high-performance Xuantie 910 RISC-V processor, highlighting its significance for China's semiconductor self-sufficiency and the open-source ecosystem. The episode also covers TinyML, explaining how ultra-low-power machine learning can enable intelligence in remote sensor nodes through techniques like quantization and cascading models. Finally, Yoshida critiques the autonomous vehicle industry's lack of standardized safety verification, arguing that tech startups' 'move fast' culture lacks the formal design rigor required for life-critical systems.

Most relevant to

large enterprises

Topics

Mentioned

Companies
Alibaba, Google, Greenwaves Technologies, Qualcomm, Apple, Intel, Waymo, Uber, Tesla, Ford, Volkswagen, Argo AI, Edge Case Research, SeaCrest, NASA, MTV
Chips
Xuantie 910, RISC-V
Tools
TensorFlow Lite

Related episodes from other shows

Other shows on the same ground, closest first.

  • The Circuit · 40m

    Episode 28: A Whole Lot of Custom Going On

    Ben Bajarin and Jay Goldberg discuss the hidden growth of custom silicon, highlighting Amazon's aggressive push with Graviton, Inferentia, and Trainium chips to achieve performance parity and energy efficiency. They explore how hyperscalers like Google, Microsoft, and AWS are developing semi-custom networking chips (e.g., Nitro) to reduce latency for AI workloads, while noting that automotive OEMs in China are increasingly licensing RISC-V IP for critical systems like ADAS and sensor fusion. The hosts analyze why these custom efforts remain under-reported and how consumer electronics marketing strategies may eventually drive automakers to brand their own silicon.

    Chips, FPGAs & semiconductorsAI & machine learning
    6 chapters

  • Embedded.fm · 1h 22m

    511: Forty Trillion Divides

    Elecia White and Christopher White discuss the Embedded.fm podcast's 511th episode, marking the transition to the 10th bit of show history. They brainstorm potential categories for an 'Embeddies' awards show, debate the merits of Vim versus nano editors, and explore using linear algebra on AI cores for non-inference tasks like control systems. The hosts also offer advice on self-motivation in writing, remote device QA, and strategies for switching microcontroller vendors.

    Microcontrollers & dev platformsEmbedded firmware
    10 chapters

  • The Electromaker Show · 33m

    Pi Zero Handheld, Arduino TensorFlow Weather Prediction, MangoPI RISC-V and More!

    Host Ian reviews a wide range of maker hardware, highlighting a detailed Arduino Nano BLE 33 weather station that uses TensorFlow Lite for air quality prediction, and a DIY RGB mood lamp called Loopy built around the Digispark ATtiny85. He covers the Penkesu, a retro handheld PC powered by a Raspberry Pi Zero 2 W, and the Roundy Pi, a Kickstarter project featuring a circular screen with RP2040 or ESP8266 options. The episode also discusses the MangoPi Nezha MQ RISC-V development board, Aspinity's analog ML chip, and a bio-hybrid fish made from human heart cells.

    Microcontrollers & dev platformsAI & machine learning
    1 chapters

  • The Amp Hour · 1h 01m

    Microfichery

    Hosts Chris Gammell and Dave Jones discuss the challenges of sourcing components like custom LCDs and LEDs, the history of Tektronix's microfiche archives, and the engineering and regulatory hurdles facing self-driving cars following an Uber fatality. They also touch on industry news regarding Apple's shift away from Intel, Tesla's financial struggles, and the expansion of the Hardware Happy Hour community.

    Sourcing & supply chainPCB design & layout
    9 chapters

  • The Electromaker Show · 28m

    ML on Arduino, Framework's Open Hardware, Miniature Billiards Game, and More!

    Ian from Electromaker reviews a variety of maker projects, including Valima’s 3D-printed 'Minority Report' kitchen timer and a miniature billiards game by Electro-Japanese. He highlights TinyML applications, such as running heart arrhythmia detection on an Arduino Mega using the Newton platform, and discusses Framework’s initiative to provide old laptop mainboards to developers to foster reuse and reduce e-waste. The episode also covers new event-based vision sensors from Metavision and crowdfunding campaigns for SMD component counters and USB-to-TTL adapters.

    Prototyping & iterationAI & machine learning
    1 chapters

The summary, chapters and topics are generated from the episode’s audio by this directory, not written by EE Times Current. The episode itself belongs to its publisher.