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  • EU clinches deal on landmark AI Act

EU clinches deal on landmark AI Act

Also: Nvidia to partner Malaysia's YTL Power in $4.3 bln AI development project

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The European Union has reached a provisional agreement on AI governance, focusing on biometric surveillance and advanced AI systems regulation. Concurrently, the UN's AI Innovation Grand Challenge was launched at COP28 to develop AI solutions for climate action in developing countries. In a significant investment, Nvidia partners with Malaysia's YTL Power for a $4.3 billion AI development project, aiming to establish advanced AI infrastructure in Malaysia. Meanwhile, concerns rise over AI's role in modern warfare, as exemplified by the Israeli military's use of AI in the Israel-Hamas conflict. In the tech industry, Google unveils an AI-powered notebook application, 'NotebookLM', integrating Gemini Pro and PaLM 2 AI technologies. Lastly, Boston-based Liquid AI secures $37.6 million in seed funding, promising innovative and environmentally responsible AI development.

Sliced:

  • 🌍 EU clinches deal on landmark AI Act

  • 🌐 Challenge Launched at COP28 to Harness Artificial Intelligence for Climate Action in Developing Countries

  • πŸ‘·β€β™‚οΈ Nvidia to partner Malaysia's YTL Power in $4.3 bln AI development project

  • 🎲Artificial intelligence now decides who lives and dies

The European Union has made a significant step forward in regulating AI by reaching a provisional agreement on landmark rules. This deal, clinched on December 9, 2023, is set to shape the future of AI governance in the EU. It addresses critical aspects such as the use of AI in biometric surveillance by governments and provides guidelines for the regulation of advanced AI systems, including those similar to ChatGPT. This initiative marks a crucial milestone in the EU's approach to managing the complex and rapidly evolving landscape of artificial intelligence technology.

At COP28, the UN Climate Change Technology Executive Committee (TEC), in partnership with Enterprise Neurosystem, an AI community, launched the AI Innovation Grand Challenge. This initiative aims to develop AI solutions for climate action in developing countries. The launch, part of a high-level COP28 event, underscores the increasing role of AI in climate change mitigation, integrating it into national policies and plans for better data analytics and energy advancements. AI's applications in predicting climate patterns, improving agriculture, and optimizing renewable energy were highlighted. The event brought together global leaders to discuss AI's role in climate action, emphasizing collaboration, technology transfer, and managing the digital divide. The #AI4ClimateAction Initiative, aligned with the UN's goals for sustainable, low-emission development, calls for new collaborations to achieve concrete policy and implementation results.

Nvidia, a leading U.S. technology company, is partnering with Malaysian conglomerate YTL Power International in a major investment deal valued at $4.3 billion. This collaboration aims to develop advanced artificial intelligence (AI) infrastructure in Malaysia. The project, expected to become operational by mid-2024, will be situated at YTL's data center park in Kulai, Johor. It involves building Malaysia's fastest supercomputers using Nvidia's AI chips and employing Nvidia's AI cloud computing platform to create a large language model in Malay. This partnership is significant for Southeast Asia's rapidly growing AI ecosystem and underscores Malaysia's emerging role as a key player in semiconductor manufacturing, attracting substantial investments from global semiconductor companies.

The article from Asia Times discusses the increasingly pivotal role of AI in modern warfare, particularly highlighting its use in the Israel-Hamas conflict in Gaza. The Israeli military's AI program, "The Gospel," generates targeting recommendations rapidly through AI algorithms, which are then corroborated by human soldiers. This has led to a dramatic increase in the number of military targets and a consequent rise in the death toll, with reports indicating significant civilian casualties. The article underscores a broader concern about the uncontrolled and rapid development of AI, exemplified by the management crisis at OpenAI and the lack of sufficient regulatory oversight. This situation raises serious ethical, moral, and legal questions about the future of AI in warfare and beyond, as well as the accountability of AI companies and the ability of governments to regulate this technology effectively.

πŸ› οΈ AI tools updates

Google recently unveiled its AI-powered notebook application, 'NotebookLM', which incorporates the company's in-house developed artificial intelligence technologies, Gemini Pro and PaLM 2. Initially introduced as 'Project Tailwind' during Google's I/O event in 2023, the app is now available for users over 18 in the United States. NotebookLM, still in its experimental phase, is designed to analyze and offer options based on uploaded documents. It is equipped with various functionalities like auto-generating summaries, creating newsletters, study guides, and suggesting follow-up questions. Google aims to use Gemini Pro and PaLM 2 across its ecosystem, starting with this application. The development team, which initially sought input from students and professors, intends to continuously enhance NotebookLM with new features, and its global availability and long-term strategy remain subjects of interest.

πŸ’΅ Venture Capital updates

Liquid AI, a Boston-based developer specializing in domain-specific and general-purpose AI systems, recently emerged from stealth mode with a substantial $37.6 million in seed funding. The funding round was spearheaded by OSS Capital and PagsGroup, along with other notable investors including Breyer Capital, Naval Ravikant, and entities like Samsung Next and Automattic. The company plans to use these funds to expand its operations and further its development initiatives. Originating from the MIT Computer Science and Artificial Intelligence Laboratory, Liquid AI is committed to developing innovative AI foundation models that are environmentally responsible and aim to reduce the carbon footprint of foundational models.

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