世界人工智能大会

Get a sneak peek at the highlights of the 2024 World AI Conferene&High-Level Meeting on Global AI Governance! #WAIC2024 #WAIC #Shanghai #China #AI #ArtificialIntelligence #AIgovernance

#AI #News #OpenAI #Microsoft #SB1047

#AI4S #Demis Hassabis #AI #TED #ChrisAnderson #Alphago #Alphazero #Deepmind #AGI #AlphaFold

AI weekly updates 0923 🔷 G20 ministers pledge AI transparency and digital inclusion with DPI at the core. At the G20 Digital Economy Ministers’ meeting 🌐 held in Maceió, Brazil, on September 13, 2024, global leaders reaffirmed their commitment to leveraging technology for digital inclusion and combating disinformation. The conference marked strides in areas such asAI transparency, DPI, and social transformation through innovative technology. The meeting culminated in a Ministerial Declaration, which emphasized the importance of AI transparency, the fight against disinformation, and fostering digital inclusion. According to the UK government’s release, the G20 nations pledged to create a safer digital space by promoting collaboration on transparent AI practices and regulating digital platforms to mitigate the spread of harmful content. Technology🤖 1. UNDP and IBM Launch New Tools to Forecast Energy Access and Model Energy Equity. IBM and the United Nations Development Program(UNDP) have launched new interactive models on energy within UNDP’s global GeoHub platform. The new solutions enable users to analyze complex energy issues through advanced AI technology and access a wide range of resources, helping support data-driven decision-making toward a just energy transition. https://lnkd.in/esrXnhjQ 2. 1X’s generative model first to predict real-world robot interactions. Robotics startup 1X Technologies has developed a new generative model that can make it much more efficient to train robotics systems in simulation. The model addresses one of the important challenges of robotics, which is learning “world models” that can predict how the world changes in response to a robot’s actions. https://lnkd.in/gf3zaN5c 3. Uniphore unveils X-Stream, a unified knowledge offering to build RAG apps 8x faster Uniphore, the global technology company known for its conversational AI and automation solutions, recently announced the launch of X-Stream, a new layer in its core data and AI platform that enables knowledge-as-a-service and brings together powerful tools, connectors and controls for enterprises to mobilize their multimodal datasets for grounded, domain-specific AI applications. https://lnkd.in/eCWnbStC 4. Generative AI startup Runway inks deal with a major Hollywood studio. Runway, a startup developing AI video tools, including video-generating models, has partnered with Lionsgate to train a custom video model on Lionsgate's movie catalog. Lionsgate vice chair Michael Burns said in a statement that the studio’s “filmmakers, directors and other creative talent” will get access to the model to “augment their work.” https://lnkd.in/esKzUAzx Marketing⚡️ 1. World Labs, led by AI pioneer Fei-Fei Li, secures $230M to revolutionize 3D AI. 2. Groq Inc. has partnered with Aramco to build a giant data center in Saudi Arabia. 3. Microsoft, BlackRock to launch $30 billion fund for AI infrastructure.

# Yuval Noah Harari #NEXUS #AI

#GPU #AI #ARK #Investing #Financing #Marketing #Foundry

[Math For AI] 💬 In our ever-evolving modern world, the influence of artificial intelligence (AI) is pervasive. However, amid this technological marvel lies a fundamental truth: mathematics is the bedrock upon which AI is built. Previously, the 2024 World Artificial Intelligence Conference (WAIC) on "Mathematics and Artificial Intelligence" 🎊 🎉 hosted by the Smale Institute for Mathematics & Computation concluded successfully at the Shanghai Expo Center on July 4th. The conference was chaired by Xuan Xiaohua, Executive Director of Smale Institute of Mathematics and Computation, and attended by distinguished mathematicians 📐 such as 🔸 Manuel Blum, the winner of the Turing Award in 1995; 🔹 Laurent Lafforgue, mathematician and permanent professor at IHES and winner of the Fields Medal; and 🔸 Stephen Smale, who won both the Fields Medal and the Wolf Prize. These top global mathematicians and scientists engaged in deep discussions on topics such as the mathematical foundations of machine learning and artificial intelligence, algorithmic research in artificial intelligence, AI for Science, and AI for Math, jointly exploring the latest research achievements and future development trends in the fields of mathematics and artificial intelligence. ● David Barber, Director of the UCL Centre for Artificial Intelligence --Using mathematical models to drive AI and make it better understand human language is a challenging yet potentially rewarding task. ● Jin Shi, Dean of Institute of Natural Science, Shanghai Jiao Tong University --An ideal mathematical model should perfectly integrate domain knowledge and physical laws, as such a model can more effectively solve complex problems. ● Michael Bronstein, the DeepMind Professor of AI at the University of Oxford --the limits of artificial intelligence are like the new goals that humans constantly pursue and set; it is a dynamic, ever-changing process with no end. ● Manuel Blum, Professor at the School of Computer Science at Carnegie Mellon University and recipient of the Turing Award --Humanity may one day face destruction, but the emergence of artificial intelligence is not necessarily the inevitable driver of this fate. On the contrary, artificial intelligence could be the key to helping humanity avoid risks.

WEEKLY UPDATES 0909 Breaking✨✨：Time magazine has released its 2024 list of the most influential figures in artificial intelligence. The list features tech CEOs like Satya Nadella, Sundar Pichai, and Mark Zuckerberg. However, this year, the magazine has notably excluded Tesla CEO Elon Musk from its annual "top AI influencers" list. Regulation: 1. 9/5 World's First Global AI Treaty Signed💥 The first legally binding international AI treaty was opened for signature last Thursday by the countries that negotiated it, including the US, EU and UK. So far, Europe has been at the forefront of global AI legislation. The European Union's AI Act, which came into force on August 1, is the world's first comprehensive regulation of AI, while this AI Treaty focuses more on protecting the human rights, democracy and the rule of law. (https://lnkd.in/dwbifppV) 2. China and UN collaborate on AI capacity building at Shanghai workshop. A workshop jointly hosted by China and the United Nations to foster international cooperation in artificial intelligence (AI) capacity building began in Shanghai on Sept 3. This event is organized by the Shanghai Municipal Government as a follow-up action as well as an active approach response from China to the "Global AI Governance Initiative"-<Shanghai Declaration>. The opening ceremony of the event was attended by representatives from nearly 40 countries. (https://lnkd.in/gMma3r4a) 💰Investment: 1. The global generative AI market size is expected to grow at a compound annual growth rate (CAGR) of 36.5% from 2024 to 2030. 2. 9/4 OpenAI co-founder Sutskever's new safety-focused AI startup SSI raises $1 billion. 3. 9/5 Japanese artificial intelligence (AI) startup Sakana AI has hit unicorn status after raising more than $100 million in a funding round. ⚙️Technology: 1. 9/3 Elon Musk’s fired up Colossus👾👾—the world’s largest Nvidia GPU supercomputer built in just three months from start to finish. Built in Tennessee for his artificial intelligence startup xAI, Musk announced Monday that the formidable data center was finally brought online over the Labor Day weekend, after spending just 122 days assembling it — a record, "Colossus is the most powerful AI training system in the world," Musk said in a tweet. 2. 9/5 Meet the new, most powerful open source AI model in the world: HyperWrite’s Reflection 70B. Matt Shumer, co-founder and CEO of AI writing startupHyperWrite | AI Writing Assistant, today unveiled Reflection 70B, a new large language model (LLM) based on Meta’s open source Llama 3.1-70B Instruct that leverages a new error self-correction technique and boasts superior performance on third-party benchmarks.

「Global Insight」🌐“It’s a privilege to live at a moment in time where we can witness the beginnings of AI and contribute something to it.”📣 --Jürgen Schmidhuber, the father of generative AI, shared his groundbreaking work in deep learning and artificial intelligence in a recent interview. 1.Neural 🆚 Non-Neural AI: Schmidhuber distinguishes between neural networks, which have dominated recent AI advancements, and non-neural AI approaches, which are often symbolic and rule-based. He suggests that both types have their strengths and limitations and discusses the potential for hybrid systems that combine the best of both worlds. 📖 Takeaway: · Neural AI: Schmidhuber discusses the dominance of neural networks in contemporary AI, emphasizing their ability to learn from data without predefined rules. He acknowledges the success of these models in various applications, such as image and speech recognition. · Non-Neural AI: He highlights the strengths of non-neural approaches, often rooted in symbolic AI, typically based on logic and explicit rules, making them more interpretable. Schmidhuber suggests that future AI might benefit from integrating neural networks with symbolic reasoning to combine the strengths of both paradigms. 2. AI Reasoning: Schmidhuber argues that future AI systems may need to incorporate more complex reasoning mechanisms, potentially inspired by non-neural approaches, to achieve a higher level of intelligence. “Everything symmetric is compressible“； society is compressible because there must be prototype faces within the crowd, and you will encode them, along with many deviation generated. In his own words, “it's basically the world of all algorithms.” 3. Transformers 🆚 LSTMs: While Transformers have gained prominence due to their success in natural language processing and other tasks, Schmidhuber defends the continued relevance of LSTMs, especially for tasks involving sequential data and long-term dependencies. 📖 Takeaway: · LSTMs (Long Short-Term Memory networks): He explains their continued relevance in tasks involving sequential data and long-term dependencies. LSTMs were groundbreaking in enabling AI to process time-series data effectively. · Transformers: Despite the rise of Transformers in recent years, particularly in natural language processing, Schmidhuber argues that LSTMs still play a crucial role in certain applications. He suggests that while Transformers are powerful, they might not entirely replace LSTMs, especially where the latter’s strengths in handling sequences come into play. 4. Future of AI Research: Looking ahead, Schmidhuber speculates on the future trajectory of AI research. So far, the most of current reinforcement learning is still doing step-by-step simulation. He suggests that progress may require moving beyond purely neural approaches and integrating elements from symbolic AI to achieve more advanced reasoning and understanding. Reference：https://lnkd.in/efx3PQjD

🏁 AI WEEKLY UPDATES 0902 #AINews #AIUpdates #AIWeek 🔝 Regulation 🔝 ： 1. Elon Musk voices support 📢✊ for California bill requiring safety tests on AI models-- "For over 20 years, I have been an advocate for AI regulation, just as we regulate any product/technology that is a potential risk to the public," Musk said in a post on X, while calling on the state to pass the SB 1047 bill. #Elonmusk（https://lnkd.in/g7HfTfAh) 2. 👀 OpenAI and Anthropic signed an agreement with the AI Safety Institute🔍--OpenAI and Anthropic, two of the most richly valued artificial intelligence startups, have agreed to let the U.S. AI Safety Institute test their new models before releasing them to the public, following increased concerns in the industry about safety and ethics in AI. #Anthropic (https://lnkd.in/gZ8ZuBvm). 3. 🌙 China’s First AI Standardization Research Institute Established in Beijing E-Town-- 🌟 On August 25th, at the Artificial Intelligence Empowering Future Industries and Organizational Development Forum during the World Robot Conference 2024 (WRC 2024), China's first artificial intelligence standardization research institute—Beijing Artificial Intelligence Standardization Research Institute—was officially inaugurated in the Beijing Economic-Technological Development Area.#AI (https://lnkd.in/gThThgtT) 📣 Releasing： 1. OpenAI 🍓 is gearing up to launch a new AI model named "Strawberry" this fall. #strawberry #LLM (https://lnkd.in/gD4QnHUz) 2. Cerebras Introduces World’s Fastest AI Inference Solution: 20x Speed at a Fraction of the Cost 🚀 #Cerebras (https://lnkd.in/g6D7ttAf) 3. 🌙 The Institute of Geochemistry, Chinese Academy of Sciences, in collaboration with Alibaba Cloud, unveiled the world's first "Lunar Science Multimodal Large Model."(https://lnkd.in/gzsjPjNF) #alicloud #LunarScience #alibaba 🌐 Investing💲：#investment #AIinvestment 1.Conversational AI Platform Bland AI Raises $16M to Change Outdated Enterprise Call Practices With Automated Phone Agents 📲 (https://lnkd.in/gwRj9B6g). 2.OpenAI is in talks to raise several billion dollars in a new funding round that would value the startup behind ChatGPT above $100 billion.(https://lnkd.in/gVsdvFtf). #openai 3.Nvidia's Stock is Slipping😣.. Wall Street Analysts Say Buy the Dip. (https://lnkd.in/gfWRYVff) #Nividia