Junko Yoshida is the Editor in Chief at The Ojo-Yoshida Report. She specializes in deep tech, AI and machine learning, with a focus on autonomous systems, photonics and optics, and transportation policy and regulation. Junko's insights and analyses are featured in The Ojo-Yoshida Report, Semiconductor Engineering, and EE Times Asia.
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I recently caught up with TechInsights analyst Ian Riches, who just celebrated his 30th anniversary as an automotive electronics industry analyst.
Panelists at the Future of Transportation Conference held last week in New York described Autonomous Vehicles a “solution to a problem that's not defined.”
Recall an explosion of railroad construction? Robber barons, in relentless pursuit of wealth, adopted a “move fast and break things” ethos that foreshadowed tech executives pursuing autonomy economy.
When tech notions gravitate toward commercialization (a la robotaxis), the audience beyond the Bay Area's propeller-head monasteries needs a reality check that goes far beyond claims and boasts.
Two pro-AV doctors recently wrote an open letter supporting robotaxi deployment. Looking closely, it's uncear whether data or public opinion support their presumption.
This is the part 2 of "AV: Where Did the Docs Go Wrong?" I examine regulatory matters and AV safety data cited by the medical community in their open letter on "Amerca's Road Deaths."
With Physical AI now on the agenda, underestimating calibration drift could bring unintended consequences to highly automated vehicles, robotic systems and automated manufacturing processes.
Brain-inspired computing has always been a "five years away" lab project. A startup in San Francisco hopes to change the narrative. Its first product is not a piece of hardware but software.
With the recent NHTSA letter, AV companies are asked to go beyond basic technology (measured in crash rates) and demonstrate tangible social and economic responsibility.
Full autonomy is AV devlopers' holy grail—by human removal. Glidance lives by a different design principle: How well can their intelligent cane know when and how to involve people?
