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Category: policy – Page 7

Tesla executive Rohan Patel clarified some facts about Supercharger NACS access for non-Tesla vehicles like Rivian and Ford.

Patel—Tesla’s Vice President of Public Policy and Business Development—recently replied to a question from Teslavangelist, who questioned the number of Supercharger stalls non-Tesla owners actually had access to with NACS connectors.

Tesla recently opened the Supercharger Network to Ford and Rivian electric vehicles (EVs) through its NACS connecter. Both automakers claim that NACS connectors provide Ford and Rivian owners access to over 15,000 Tesla Supercharger locations. Teslavangelist pointed out that non-Tesla EV owners only have access to V3 and V4 Superchargers, doubting they have access to 15,000 Supercharger stalls.

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Nvidia presents Driving Everywhere with Large Language Model Policy Adaptation LLaDA is a simple yet powerful tool that enables human drivers and autonomous vehicles alike to by adapting their tasks and motion plans to traffic rules.

Nvidia presents Driving Everywhere with Large Language Model Policy Adaptation.

LLaDA is a simple yet powerful tool that enables human drivers and autonomous vehicles alike to by adapting their tasks and motion plans to traffic rules.

Paper page: https://huggingface.co/papers/2312.14150)

Continue reading “Driving Everywhere with Large Language Model Policy Adaptation” | >

On Saturday, Chinese scholars unveiled a preliminary proposal draft in Beijing that could potentially shape the nation’s forthcoming artificial intelligence (AI) law.

The proposal draft pays attention to the development issues of industrial practice in the three areas of data, computing power and algorithms, Zhao Jingwu, an associate professor from BeiHang University Law School, told the Global Times.

Zhao said that the proposal also introduces the AI insurance system that encourages the intervention of the insurance market through policy incentives, exploring insurance products suitable for the AI industry. In addition, it proposes the enhancement of citizens’ digital literacy, aiming to prevent and control the security risks of the technology from the user end.

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India will lower import taxes on certain electric vehicles for companies committing to invest at least $500 million and setting up a local manufacturing facility within three years, a policy shift that could potentially bolster Tesla’s plans to enter the South Asian market.

Companies must invest a minimum of $500 million in the country and will have three years to establish local manufacturing for EVs with at least 25% of components sourced domestically, according to a government press release on Friday. Firms meeting these requirements will be allowed to import 8,000 EVs a year at a reduced import duty of 15% on cars costing $35,000 and above. India currently levies a tax of 70% to 100% on imported cars depending on their value.

The policy change is likely going to pave the way for Tesla to enter India, as the Elon Musk-led company has been in talks with the government to lower import duties on its electric cars for years. The move also aligns with India’s goal to boost the adoption of EVs and reduce its dependence on oil imports, with the country setting a target of achieving 30% electric car sales by 2030.

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On socially compliant navigation: Researchers show how real-world RL-based finetuning can enable mobile robots to adapt on the fly to the behavior of humans, to obstacles, and other challenges associated with real-world navigation:

Abstract.

We propose an online reinforcement learning approach, SELFI, to fine-tune a control policy trained on model-based learning. In SELFI, we combine the best parts of data efficient model-based learning with flexible model-free reinforcement learning, alleviating both of their limitations. We formulate a combined objective: the objective of the model-based learning and the learned Q-value from model-free reinforcement learning. By maximizing this combined objective in the online learning process, we improve the performance of the pre-trained policy in a stable manner. Main takeaways from our method are.

Continue reading “SELFI: Autonomous Self-improvement with Reinforcement Learning for Social Navigation” | >

Saint Louis University associate professor of health management and policy in the College for Public Health and Social Justice, SangNam Ahn, Ph.D., recently published a paper in Journal of Clinical Psychology that examines the relationship between childhood adversity, and psychiatric decline as well as adult adversity and psychiatric and cognitive decline.

His team discovered that just one instance of adversity in childhood can increase cases of mental illness later in life, and adverse events in adults can lead to a greater chance of both mental illness and cognitive decline later in life.

“Life is very complicated, very dynamic,” Ahn said. “I really wanted to highlight the importance of looking into the lasting health effect of adversity, not only childhood but also adulthood adversity on health outcomes, especially and psychiatric and cognitive health. There have been other studies before, but this is one of the first that looks into these issues comprehensively.”

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For one, it reached over a million users in five days of its release, a mark unmatched by even the most historically popular apps like Facebook and Spotify. Additionally, ChatGPT has seen near-immediate adoption in business contexts, as organizations seek to gain efficiencies in content creation, code generation, and other functional tasks.

But as businesses rush to take advantage of AI, so too do attackers. One notable way in which they do so is through unethical or malicious LLM apps.

Unfortunately, a recent spate of these malicious apps has introduced risk into an organization’s AI journey. And, the associated risk is not easily addressed with a single policy or solution. To unlock the value of AI without opening doors to data loss, security leaders need to rethink how they approach broader visibility and control of corporate applications.

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