That is not true. Toyota with a 1,000 mile low cost battery from China and Chinese AI driving the vehicles represents a SIGNIFICANT threat to both American auto industry and Tesla.
BIG TECH
-
Toyota’s Battery and Autonomy Gaps Threaten Global Auto Competitiveness
By
–
Toyota can not compete with Japanese technology. It does not have its own battery capabilities. It does not have its own autonomy capabilities. Both together are what matters going forward. This will not help Toyota compete in China. It will eviscerate the American auto
-
Companies Rapidly Establish New AI Organizations
By
–
And it won't slow down anytime soon. Many companies are just spinning up AI organizations.
-
Japan’s Battery and AI Competitiveness Challenge
By
–
True. But Japan doesn’t have the batteries or AI to compete.
-
US AI competitiveness versus Toyota and Chinese competition
By
–
That is better than letting Toyota and China take everything over.
-
AI Accelerating Scientific Breakthroughs at Royal Society Forum
By
–
James Manyika gave the opening address at the inaugural AI for Science Forum, co-hosted by Google DeepMind & the Royal Society. He laid out how AI is accelerating scientific breakthroughs & can help address the world's key challenges. Read his remarks:
-
Former Google VP Prefers ChatGPT Over Google Search
By
–
Former Google VP (and current CEO of startup Sunshine) Marissa Mayer said on stage at the Cerebral Valley AI Summit that while she's loyal to Google search, she does find herself turning to ChatGPT rather than Google to conduct searches for things online.
-
Toyota Plans Chinese EV Autonomy Push Against Tesla
By
–
Toyota is staffing up for a big shift to autonomous electric vehicles I learned from a friend who is in Silicon Valley recruiting. They are planning on bringing Chinese batteries and Chinese autonomy to America. In other words a cheaper product than Tesla has and better than
-
Fortune Recognizes AI Innovator in 50 List
By
–
Thrilled to be included in this year's @Fortune 50 AI Innovators List.
-
AI Optimizes Liner Shipping Network Design and Scheduling
By
–
Introducing Virgile Galle, Software Engineer at Google Research. He is using AI to tackle the Liner Shipping Network Design & Scheduling Problem (LSNDSP). Could this lead to more efficient and cost-effective shipping? More→ https://t.co/DsUE5TRZ4X #AI #Logistics #Optimization pic.twitter.com/SUaDGIGC8D
— Google AI (@GoogleAI) 20 novembre 2024Introducing Virgile Galle, Software Engineer at Google Research. He is using AI to tackle the Liner Shipping Network Design & Scheduling Problem (LSNDSP). Could this lead to more efficient and cost-effective shipping? More→ https://
goo.gle/4fvOI10 #AI #Logistics #Optimization