https://events.vtools.ieee.org/tego_/event/manage/462458 Please register at this site and here, too. Best regards Co-sponsored by: IEEE SF ComSoc Chapter Speaker(s): Puneet Sharma, Agenda: https://events.vtools.ieee.org/tego_/event/manage/462458 Virtual: https://events.vtools.ieee.org/m/462468

Abstract of the technical report We present DeepSeek-V3, a strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token. To achieve efficient inference and cost-effective training, DeepSeek-V3 adopts Multi-head Latent Attention (MLA) and DeepSeekMoE architectures, which were thoroughly validated in DeepSeek-V2. Furthermore, DeepSeek-V3 pioneers an auxiliary-loss-free strategy for load balancing and sets a multi-token prediction training objective for stronger performance. We pre-train DeepSeek-V3 on 14.8 trillion diverse and high-quality tokens, followed by Supervised Fine-Tuning and Reinforcement Learning stages to fully harness its capabilities. Comprehensive evaluations reveal that DeepSeek-V3 outperforms other open-source models and achieves performance comparable to leading closed-source models. Despite its excellent performance, DeepSeek-V3 requires only 2.788M H800 GPU hours for its full training. In addition, its training process is remarkably stable. Throughout the entire training process, we did not experience any irrecoverable loss spikes or perform any rollbacks. The model checkpoints are available at https://github.com/deepseek-ai/DeepSeek-V3. Public link: https://github.com/deepseek-ai/DeepSeek-V3/blob/main/DeepSeek_V3.pdf I am especially reading page 17 on this paper. Agenda: 8pm we will meet 8:15 we will have ordered our teas and coffees 8:20 discuss the paper 9:00 Adjourn. Bldg: Starbucks, 6 Flagstone Dr, Hudson, New Hampshire, United States, 03051

Our speaker is Paul H. Carr, PhD, IEEE Life Fellow Electric cars are fun to drive: silent acceleration 0 to 60 mph in 3 to 6 seconds. They are doubly green, saving our planet with no carbon dioxide emissions and saving the green in your pocketbook. They get the equivalent of 100 miles per gallon, saving $4000 in 5 years in fuel costs and requiring no oil and filter changes. The number of moving parts in an electric vehicle is one-tenth that of a gasoline engine. Electric motors are more than twice as efficient. The 2019 Nobel Prize in Chemistry was awarded to Dr John Goodenough and two co-inventors of the Lithium-Ion Battery. In 1960, Paul Carr was a MIT graduate student with a summer job working with Dr. Goodenough at the MIT Lincoln Lab. Agenda: 4:15 PM registration 4:30 PM Presentation by Paul H. Carr followed by questions and answers. The presentation will be livestreamed. Room: Classroom, The Baldwin, 50 Woodmont Avenue, Londonderry, New Hampshire, United States, 03053, Virtual: https://events.vtools.ieee.org/m/462395

[] Title: Realizing Artificial Intelligence: Edge-to-Cloud-to-Exascale Abstract: Foundational models with trillions of parameters are being trained. Multi-modal GenAI and Inference Serving services are being deployed for a variety of use cases. To meet the computational demands of these AI workloads, we now have infrastructure with larger than ever GPUs and networks with ever increasing bandwidths. In this presentation, I will talk about challenges of running today’s AI workloads on extreme scale infrastructure. Hewlett Packard Labs is pursuing different research directions for building resilient, scalable and sustainable AI infrastructures. I will discuss how we are tackling the complexities of orchestrating AI/ML workloads by leveraging AI Workload simulations, GPU virtualization, performant communication collectives and novel accelerators. Virtual: https://events.vtools.ieee.org/m/462458

Globalizing perspectives on AI safety Wednesday, February 19, 2025, 9:30 - 11:00 a.m. EST Online only: https://www.brookings.edu/events/globalizing-perspectives-on-ai-safety RSVP to watch online Artificial intelligence (AI) safety is an emerging field dedicated to ensuring that AI systems operate reliably, ethically, and beneficially. However, mainstream narratives surrounding AI safety often reflect the objectives and perspectives of Western institutions, prioritizing technical risks like alignment and misuse while neglecting broader societal and contextual harms. As global AI safety efforts gain momentum—through initiatives like the AI Safety Summit, specialized institutes, and new benchmarks—critical gaps remain. Many current evaluation methods lack coverage of non-Western languages, cultural norms, and societal contexts, leading to AI systems that perform poorly in diverse environments and reinforce systemic biases. These limitations highlight the urgent need for globalized approaches to AI safety. On February 19, join the Center for Technology Innovation at Brookings for a webinar featuring a panel of experts from across the globe to examine how Western-centric assumptions in AI safety frameworks can perpetuate inequities and bias. Panelists will explore region-specific challenges, such as linguistic and cultural barriers as well as innovative frameworks, technical measures, and human-centered approaches to redefine what it means for AI to be "safe" on a global scale. Viewers can submit questions for speakers via email to events@brookings.edu or on X (formerly Twitter) @BrookingsGov using #AISafety. Panel discussion Moderator: Chinasa T. Okolo, Fellow, Center for Technology Innovation, Brookings Grace Chege, Fellow, ILINA Program Maia Levy Daniel, Senior Program Manager, Trust and Safety Foundation Shaun Ee, Policy and Strategy Manager, Institute for AI Policy and Strategy Ben Kereopa-Yorke, Master's Student, The University of New South Wales Jam Kraprayoon, Strategy Manager, Institute for AI Policy and Strategy Craig Ramlal, Lecturer, The University of West Indies https://www.brookings.edu/events/globalizing-perspectives-on-ai-safety Agenda: https://www.brookings.edu/events/globalizing-perspectives-on-ai-safety Virtual: https://events.vtools.ieee.org/m/467000

Globalizing perspectives on AI safety Wednesday, February 19, 2025, 9:30 - 11:00 a.m. EST Online only: https://www.brookings.edu/events/globalizing-perspectives-on-ai-safety RSVP to watch online Artificial intelligence (AI) safety is an emerging field dedicated to ensuring that AI systems operate reliably, ethically, and beneficially. However, mainstream narratives surrounding AI safety often reflect the objectives and perspectives of Western institutions, prioritizing technical risks like alignment and misuse while neglecting broader societal and contextual harms. As global AI safety efforts gain momentum—through initiatives like the AI Safety Summit, specialized institutes, and new benchmarks—critical gaps remain. Many current evaluation methods lack coverage of non-Western languages, cultural norms, and societal contexts, leading to AI systems that perform poorly in diverse environments and reinforce systemic biases. These limitations highlight the urgent need for globalized approaches to AI safety. On February 19, join the Center for Technology Innovation at Brookings for a webinar featuring a panel of experts from across the globe to examine how Western-centric assumptions in AI safety frameworks can perpetuate inequities and bias. Panelists will explore region-specific challenges, such as linguistic and cultural barriers as well as innovative frameworks, technical measures, and human-centered approaches to redefine what it means for AI to be "safe" on a global scale. Viewers can submit questions for speakers via email to events@brookings.edu or on X (formerly Twitter) @BrookingsGov using #AISafety. Panel discussion Moderator: Chinasa T. Okolo, Fellow, Center for Technology Innovation, Brookings Grace Chege, Fellow, ILINA Program Maia Levy Daniel, Senior Program Manager, Trust and Safety Foundation Shaun Ee, Policy and Strategy Manager, Institute for AI Policy and Strategy Ben Kereopa-Yorke, Master's Student, The University of New South Wales Jam Kraprayoon, Strategy Manager, Institute for AI Policy and Strategy Craig Ramlal, Lecturer, The University of West Indies https://www.brookings.edu/events/globalizing-perspectives-on-ai-safety Agenda: https://www.brookings.edu/events/globalizing-perspectives-on-ai-safety Virtual: https://events.vtools.ieee.org/m/467000

This is a recruiting event. IEEE student branch will serve coffee and breakfast foods. We will disseminate information about IEEE Student Branch and recruit more studnets to join our organization. Bldg: School of Engineering, Technology and Aeronautics, 2500 North River Road, Manchester, New Hampshire, United States, 03106

https://www.brookings.edu/articles/the-geography-of-generative-ais-workforce-impacts-will-likely-differ-from-those-of-previous-technologies/ By Research The geography of generative AI’s workforce impacts will likely differ from those of previous technologies Mark Muro, Shriya Methkupally, and Molly Kinder February 19, 2025 Lets discuss this paper. Best regards Bldg: Starbucks, 6 Flagstone Dr, Hudson, New Hampshire, United States, 03051, Virtual: https://events.vtools.ieee.org/m/469784

Detail coming soon Speaker(s): , Professor Sadraey Bldg: School of Engineering, Technology and Aeronautics, 2500 North River Road, Manchester, New Hampshire, United States, 03106