Scott Bair is a key voice at Intel Labs, sharing insights into innovative research for inventing tomorrow’s technology.
Highlights:
- The Conference on Neural Information Processing Systems (NeurIPS 2024) will run from Tuesday, December 10th, through Sunday, December 15th, at the Vancouver Convention Center in Vancouver, B.C., Canada.
- Intel employees organized several workshops, which are co-located with this year’s conference, including AI for Accelerated Materials Design (AI4Mat-NeurIPS-2024), Breaking Silos Open Community for AI x Science, Responsibly Building the Next Generation of Multimodal Foundational Models, and Women in Machine Learning.
- Visit Intel’s booth #51 for demonstrations of pioneering research in AI and interaction with Intel researchers and technologists.
This year, Intel researchers are organizing and leading several workshops and socials in conjunction with the 2024 Neural Information Processing Systems conference (NeurIPS). The main conference will run from Tuesday, December 10th, through Sunday, December 15th, at the Vancouver Convention Center in Vancouver, B.C., Canada; each of the workshops is co-located with NeurIPS at the convention center.
The workshops and socials provide opportunities to network with other professionals and discuss the future of AI along diverse focus areas. The individual workshops will cover various branches of AI research, including accelerated materials discovery, collaborative AI-driven science, responsible design principles of generative models, as well as highlight the research achievements of women in machine learning.
Read more about the workshops, demos, socials, and networking opportunities below.
AI for Accelerated Materials Design (AI4Mat)
Saturday, December 14th, 8:00 am – 5:30 pm
The AI for Accelerated Materials Discovery (AI4Mat) Workshop NeurIPS 2024 provides an inclusive and collaborative platform where AI researchers and material scientists converge to tackle the cutting-edge challenges in AI-driven materials discovery and development. The goal of the workshop is to foster a vibrant exchange of ideas by breaking down barriers between disciplines and encouraging insightful discussions among experts from diverse disciplines and curious newcomers to the field. The workshop embraces a broad definition of materials design encompassing matter in various forms, such as crystalline and amorphous solid-state materials, glasses, molecules, nanomaterials, and devices. By taking a comprehensive look at automated materials discovery spanning AI-guided design, synthesis and automated material characterization, the workshop aims to create an opportunity for deep, thoughtful discussion among researchers working on these interdisciplinary topics, and highlight ongoing challenges in the field
Breaking Silos Open Community for AI x Science
Wednesday, December 11th, 7:30 pm – 9:30 pm
This social event aims to bring together researchers, practitioners, and enthusiasts from diverse fields to discuss the importance of open collaboration in AI for Science and provide a platform to enable new collaborations. The social aims provide a networking platform for participants to build new friendships, connect and explore potential collaborations, share success stories, and brainstorm strategies to promote open data, open-source tools, and collaborative platforms.
Demonstration: Deploying Personal AI Assistants with Voice, LLMs, and RAG Via OpenVINO™ on the AI PC
Tuesday, December 10th, 3:00 pm – 5:00 pm
West Exhibition Hall A
Explore how to build and deploy local LLM-based assistants on the AI PC or at the edge. Our pipeline leverages a real-time speech transcription model (Distil-Whisper), and Large Language Model (LLama3) powered chatbots leveraging Retrieval Augmented Generation (RAG), to personalize user interactions via text generation and summarization over prior interaction history. We discuss how the Intel® Core™ Ultra enables efficient deployment of LLMs on the CPU, iGPU, and NPU, through optimization techniques such as quantization and OpenVINO™ compression libraries. Live demos will be presented throughout the session to ensure developers can see the work in action.
Tuesday through Thursday, December 10-12th
Come visit booth #51 at NeurIPS for demonstrations of pioneering research in AI – including OpenVINO and OPEA – and interaction with Intel researchers and technologists.
The Custom AI Assistant utilizes the OpenVINO™ toolkit to create a streamlined, voice-activated interface that developers can easily integrate and deploy. At its core, the application harnesses state-of-the-art models for speech recognition and natural language understanding. It's configured to understand user prompts and engage in dialogue, facilitating an interactive and user-friendly conversational agent.
Running AI workloads in a production environment presents a unique set of challenges, from managing complex infrastructure to ensuring scalability and reliability. Intel, working with several other industry partners, has brought forth the Open Platform for Enterprise AI (OPEA) project to address these challenges by providing a flexible, open source framework that simplifies the deployment and management of AI applications. OPEA is designed to democratize AI by making it accessible across a wide range of hardware solutions. By supporting multiple hardware architectures, including CPUs, GPUs, and specialized AI accelerators, OPEA provides organizations with the flexibility to choose the best hardware and platform for their specific needs. This choice is crucial as it allows businesses to optimize performance, cost, and energy efficiency based on their unique requirements. Additionally, its open source nature ensures that it can be integrated with various existing systems and tools, fostering innovation and reducing vendor lock-in. By offering these choices, OPEA empowers enterprises to tailor their AI infrastructure to achieve optimal results, making AI more practical and scalable in real-world applications.
NeurIPs Developer Networking Meetup
Thursday, December 12th, 5:00 pm – 8:00 pm
Join Intel and friends – Comet, Hugging Face and Voxel51 – for an evening of demos, drinks, food and a chance to network with AI developer peers. Dinner and drinks will be provided for the first 250 guests.
There is limited space available so early registration is encouraged. Register here.
Responsibly Building the Next Generation of Multimodal Foundational Models (RBFM)
Saturday, December 14th, 8:00 am – 5:30 pm
In recent years, the importance of interdisciplinary approaches focusing on multimodality (language + image + video + audio) has grown exponentially, driven by their impact in fields such as robotics. However, the rapid evolution of these technologies also presents critical challenges regarding their design, deployment, and societal impact. Large Language Models (LLMs) sometimes produce "hallucinations," and Text-to-Image (T2I) diffusion models can inadvertently generate “harmful content.” These models pose unique challenges in fairness and security. Addressing these challenges preemptively is crucial to breaking the cycle of reactive measures and reducing the substantial resource burden associated with post-hoc solutions. These preemptive measures can be applied at various stages, such as dataset curation and pre-training strategies, while maintaining resource efficiency to promote more sustainable development of generative models. This workshop aims to provide a platform for the community to openly discuss and establish responsible design principles that will guide the development of the next generation of generative models.
Women in Machine Learning Workshop (WiML)
Tuesday, December 10th, 8:00 am – 5:30 pm
Machine learning is one of the fastest-growing areas of computer science research. Search engines, text mining, social media analytics, face recognition, DNA sequence analysis, speech and handwriting recognition, and healthcare analytics are just some of the applications in which machine learning is routinely used. Yet, despite the wide reach of machine learning and the variety of theories and applications the field covers, the percentage of female researchers is lower than in many other areas of computer science. Additionally, most women working in machine learning rarely get the chance to interact with other female researchers, making it easy to feel isolated and hard to find role models.
The annual Women in Machine Learning Workshop is the flagship event of Women in Machine Learning. This technical workshop gives female faculty, research scientists, and graduate students in the machine learning community an opportunity to meet, network, and exchange ideas, participate in career-focused panel discussions with senior women in industry and academia, and learn from each other. Underrepresented minorities and undergraduates interested in machine learning research are encouraged to attend. The workshop welcomes all genders; however, any formal presentations, i.e., talks and posters, are given by women. Each year, the workshop organizers strive to create an atmosphere where participants feel comfortable engaging in technical and career-related conversations.
Scott Bair is a Senior Technical Creative Director for Intel Labs, chartered with growing awareness for Intel’s leading-edge research activities, like AI, Neuromorphic Computing and Quantum Computing. Scott is responsible for driving marketing strategy, messaging, and asset creation for Intel Labs and its joint-research activities. In addition to his work at Intel, he has a passion for audio technology and is an active father of 5 children.
Scott has over 23 years of experience in the computing industry bringing new products and technology to market. During his 15 years at Intel, he has worked in a variety of roles from R&D, architecture, strategic planning, product marketing, and technology evangelism. Scott has an undergraduate degree in Electrical and Computer Engineering and a Masters of Business Administration from Brigham Young University.
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