TOKYO, May 04 (News On Japan) –
The growth of autonomous driving know-how is coming into a brand new section, pushed by advances in generative AI. A white car seen driving by central Tokyo with out a driver was lately unveiled as Japan’s first public demonstration by Waymo, a subsidiary of Alphabet.
The occasion marked a turning level, as startups and main gamers alike speed up efforts towards what’s being referred to as “Autonomous Driving 2.0″—a brand new stage powered by AI.
Waymo, which started its self-driving taxi service in Arizona, is now increasing to San Francisco, Silicon Valley, and Los Angeles. In San Francisco, the service is gaining recognition even amongst visiting Japanese businesspeople, changing into one thing of an attraction.
On May third, Waymo and Toyota Motor introduced a primary settlement to collectively develop autonomous driving applied sciences. This marks a shift in angle by Toyota, which had beforehand been cautious of Google’s data-collecting capabilities. The transfer means that Toyota is taking autonomous driving extra severely.
Interest on this subject can also be rising amongst AI researchers. Nvidia CEO Jensen Huang, a distinguished determine in AI growth, has repeatedly said that autonomous driving is the subsequent main frontier after generative AI.
The time period “Autonomous Driving 2.0” displays rising recognition that the earlier mannequin, “1.0,” had reached its limits. Although analysis started greater than a decade in the past—Google’s efforts date again to 2013—the know-how stays restricted to particular city areas, with little progress in making it extensively obtainable in shopper autos. Despite investments exceeding 100 billion {dollars} (about 14 trillion yen), widespread adoption has not but materialized. One cause is that coaching techniques utilizing real-world driving knowledge struggles to deal with uncommon or sudden eventualities.
In distinction, Autonomous Driving 2.0 introduces a significant structural shift. The older 1.0 techniques separated recognition, decision-making, and management into distinct AI modules. The new mannequin consolidates all of those capabilities right into a single large-scale AI system. This simplification not solely makes growth and updates simpler but in addition enhances efficiency.
The idea is much like how ChatGPT integrates numerous knowledge inputs—textual content, pictures, and audio—to attract conclusions. That identical structure is now being utilized to autos. The emergence of generative AI has created favorable tailwinds for this method.
Among the important thing gamers main this shift is Tesla. The firm lately introduced that it could procure over 3 billion {dollars}’ price of superior semiconductors from Nvidia, which function the mind of those next-generation techniques.
Source: テレ東BIZ