Hardware Podcasts

Recalling Apollo 11 | What, Exactly, Is a Car? | AI Benchmarks

EE Times Current · 19 Jul 2019 · 19m

What this episode covers

Analyst Karl Freund discusses the latest ML Perf benchmarks with EE Times editor Rick Merritt, revealing that NVIDIA and Google dominate the AI training market through significant software innovations, while startups struggle to compete in this high-cost segment. The episode then explores automotive innovation, featuring Israeli startup Ree's modular EV platform that integrates motors, steering, and suspension entirely within the wheels, challenging traditional OEM architectures. Finally, EE Times editor George Leopold reflects on the 50th anniversary of Apollo 11, highlighting the enduring legacy of the mission and the critical engineering challenge of abrasive moon dust for future lunar exploration.

Most relevant to

large enterprises and early-stage companies

Topics

Mentioned

Companies
NVIDIA, Google, Ree, Tesla, GM, Qualcomm, Intel, NASA, Semitech
Also
ML Perf, Apollo 11, Elon Musk, Jeff Bezos, Apollo-Soyuz

Related episodes from other shows

Other shows on the same ground, closest first.

  • The Next Byte Podcast · 20m

    11. Neuralink, Airspeeder: The Flying Car, Carbon Footprint & Computer Chips

    Hosts Daniel and Forbode discuss Neuralink's robotic brain implant technology, Alauda's electric flying race car (Airspeeder), and a Harvard/Facebook study on the carbon footprint of computer chip manufacturing. They analyze Neuralink's 1024-channel device and fully robotic surgery, the Airspeeder Mark 3's modular battery swapping and collision avoidance systems, and the finding that hardware manufacturing emissions outweigh usage emissions.

    Embedded firmwareBatteries & low-power design
    5 chapters

  • Hackaday Podcast · 58m

    Ep 215: Autonomous Race Car, Espresso Robot, and Vintage Computers

    Hosts Elliot Williams and Dan Maloney review a week of hacks, including Lawrence Trat’s open API integration for a Milo washing machine, Jeff Lau’s Bluetooth adapter for a 1993 Mitsubishi 3000 GT analog phone, and Stephen Gong’s autonomous F1/10th scale racing car using a Jetson and LiDAR. The episode also covers Denny’s microwave-powered forge using silicon carbide crucibles, Nicholas Depatri’s automated Gaggia espresso machine, and Patrick Williams’ social engineering of Bing Chat. Finally, they discuss the Vintage Computer Festival East and grid capacity issues with renewable energy.

    Embedded firmwareWireless & RF
    9 chapters

  • The Next Byte Podcast · 21m

    189. Stanford & Toyota Drift Cars With AI

    Hosts Daniel and Forbode discuss a collaboration between Stanford University and the Toyota Research Institute, where Professor Christian Gerits' team used AI to achieve autonomous tandem drifting in Toyota Supras. They explain that training neural networks on these extreme boundary cases—specifically the 'feel' of friction and inertia rather than rigid physics models—aims to make Level 3-5 autonomous vehicles safer in unpredictable, low-friction scenarios like icy roads. The hosts highlight the technical details, such as 50Hz route replanning and sensor instrumentation, while noting the technology's potential portability to standard consumer vehicles.

    AI & machine learningRobotics & autonomy
    7 chapters

  • The Circuit · 41m

    Episode 85: OpenAI leaves AI Silicon in the Dust

    Ben Bajarin and Jay Goldberg discuss how OpenAI's new model, which uses reinforcement learning and multi-level reasoning, drastically increases inference compute demands, leaving current silicon architectures behind. They analyze the competitive landscape, noting that while Nvidia dominates training, the inference market is becoming more open due to high costs and the need for edge deployment. The hosts also highlight Google's recent demos, including a podcast generator and a game engine, as evidence of rapid software innovation that continues to outpace hardware development.

    AI & machine learningChips, FPGAs & semiconductors
    7 chapters

  • Built 2 Scale · 56m

    Autonomous Cars, Autonomous Tunneling and… Autonomous Homes?

    Hosts Matt Perrott and Scott Wilcox discuss Jensen Huang's circular investment strategy involving Nvidia, OpenAI, and Oracle, and the rise of non-Apple wearables like the Oura Ring and Meta Ray-Ban glasses. They explore the concept of 'device-less' autonomous homes with embedded AI workstations, the future of autonomous driving via Wayve's camera-only approach, and The Boring Company's autonomous tunneling technology. The episode also covers CEO Tobi Lutke's long-term data strategy and the hosts' updated AI power rankings.

    AI & machine learningConnected products & IoT
    4 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.