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🗞 News of the day

🤖 Toyota Drifting AI Cars

Scientists from the Toyota Research Institute and Stanford University have developed AI-powered self-driving cars capable of controlled drifting.

• Autonomous Drifting Cars: Researchers have created self-driving cars that can drift by using algorithms to manage traction loss. This technology could assist human drivers in the future by taking over during dangerous situations. The cars successfully performed a tandem drift at Thunderhill Raceway Park in California.

• Modified Toyota Supras: Two GR Supra sports cars were modified with advanced computers and sensors to track the road and other vehicles. The cars use a combination of physical models and machine learning to master drifting. The modifications enable the cars to drift in tandem at high speeds.

• Future Applications and Limitations: The techniques developed for drifting could improve driver-assistance systems and automated driving in urban areas. However, self-driving cars still face significant challenges, such as operating safely in adverse weather conditions. Despite its promise, more work is needed to perfect autonomous vehicle technology.

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🔖 Today's Cool Story

🚨 OpenAI AI Chip

OpenAI is planning to develop new AI chips in collaboration with Broadcom, aiming to revolutionize the AI industry.

• Collaboration with Broadcom: OpenAI is in discussions with chip designers, including Broadcom, to create new AI chips. The initiative seeks to integrate software and hardware efficiently to address the current AI chip shortage.

• Significant Investment and Ambitious Goals: OpenAI aims to raise USD 7 trillion to transform the global semiconductor industry. This investment will facilitate AI chip fabrication and the construction of AI-related infrastructure, ultimately providing vast services and substantial value worldwide.

• Challenges and Expertise: Developing AI server chips that can rival NVIDIA's products will require years of research and development. However, OpenAI is leveraging the expertise of former Google employees to potentially shorten the development process and overcome significant technical challenges.

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