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大会简介
Introductions
Since Alan Turing proposed "Turing Machine" and the possibility of machine "thinking" in 1936, the rapid development of artificial intelligence represented by machine learning has profoundly changed our world. Boolan has invited nearly 50 technology leaders and industry application experts to discuss the cutting-edge development of AI and industry best practices with 1000+ elites from many industries such as e-commerce, finance, automotive, smart manufacturing, communication, industrial internet, medical, education, etc.
大会主题
Tracks
LLM Technology Evolution
Large Multimodal Models
LLM Engineering & Architecture
LLM Application Practices
GenAI Product Innovation
LLM Application Frameworks & Tools
Intelligent Agents
Code LLMs & Software Development
ML/LLM Ops
AI/LLM Infra
Computility & Optimization
LLM Industry Practices
演讲嘉宾
Speakers
Daniel Povey
Creator of Kaldi,IEEE Fellow,Chief Speech Scientist of Xiaomi Group
Dr Daniel Povey graduated from the University of Cambridge, UK, and worked at IBM and Microsoft.He joined Johns Hopkins University in 2012 as an Associate Professor in the Centre for Language and Speech Processing.He joined Xiaomi in October 2019 as the Group Chief Scientist for Speech. In December 2022, Daniel Povey was selected as an IEEE Fellow for his outstanding contributions to speech recognition and acoustic modelling. Dr Daniel Povey is the author and main maintainer of Kaldi, a well-known open source speech recognition tool, and is known as the "Father of Kaldi" in the industry.The Kaldi project is highly influential in both academia and industry, and has been widely used in various research institutes and well-known domestic and international companies, which has strongly contributed to the intelligent speech Daniel Povey has made a lot of contributions to the technology of intelligent speech processing. He was the first to apply the sequence discriminative training method to speech recognition, and the LF-MMI modelling method he proposed is still the standard technology commonly used in commercial speech recognition systems. He was also a key leader in the use of deep learning for speech recognition, popularising time-delay neural networks in speech recognition, together with LF-MMI training, as the best combination for general use in academia and industry in 2015-2020. He is also a key leader in deep learning in voice recognition, proposing the X-vectors method, which is the first successful and universally applied deep learning speaker recognition method, widely used in industry. He has published more than 200 papers in top international conferences and journals, with nearly 46,000 Google Scholar citations, h-index 66, and serves as an Associate Lifetime Editor of Signal Processing Letters.
Qi Zhang
Professor, Doctoral Supervisor, Fudan University, MOSS Core Member
The MOSS project, launched by the NLP Laboratory at Fudan University, has a core team member. The main research areas include natural language processing and information retrieval, focusing on natural language representation, information extraction, robustness, and interpretability analysis. They also hold positions as a director of the Chinese Information Processing Society, executive committee member of the Information Retrieval Special Committee of the Chinese Information Processing Society, executive committee member of the Chinese Young AI Workers Committee, and member of the Organizing Committee of SIGIR Beijing Chapter. They have served as program committee chairs, domain chairs, and tutorial chairs in important international and domestic conferences such as ACL, EMNLP, COLING, and the National Conference on Information Retrieval multiple times. They have published more than 150 papers in international academic journals and conferences and have been granted four US patents. They have been nominated for the Best Paper Award at WSDM 2014, recommended by the domain chair at COLING 2018, awarded the Outstanding Paper Award at NLPCC 2019, and awarded the Outstanding Paper Award at COLING 2022. They have also received awards such as the second prize of Shanghai Science and Technology Progress Award and the second prize of the Ministry of Education Science and Technology Progress Award. They are the author of “Large-scale Language Models: From Theory to Practice” and other works.
Yang You
Founder of Lucent Technologies
Founder Professor You Yang is a PhD from the University of California, Berkeley, and Presidential Young Professor in the Department of Computer Science at the National University of Singapore (NUS). He has set world records for ImageNet, BERT, AlphaFold, and ViT training speeds, and his technologies are widely used by Google, Microsoft, Intel, NVIDIA, and other technology giants. In the past three years, he has published more than ten papers as the first author in international conferences and journals, such as NIPS, ICLR, SC, IPDPS, ICS, etc. He was awarded the Best Paper Award (0.8% winning rate) of International Conference on Parallel and Distributed Processing (IPDPS) as the first author, and the Best Paper Award (0.3% winning rate) of International Conference on Parallel Processing (ICPP) as the first author. Award (0.3% award rate) of IPDPS and Best Paper Award (0.3% award rate) of ICPP, and has published nearly 100 papers. He was awarded the Sibel Scholarship of Tsinghua University, the only ACM-IEEE CS George Michael Memorial HPC Fellowship for PhD students, and the Lotfi A. Zadeh Fellowship for outstanding graduates of Berkeley. He was nominated for the ACM Doctoral Dissertation Award by UC Berkeley. He has worked at Google, Microsoft, NVIDIA, Intel, IBM, and was named to the Forbes 30 under 30 list (Asia) and received the IEEE-CS Outstanding Newcomer Award for Supercomputing in 2021. he was named Forbes Top 100 Most Influential Chinese Elite in the World in October 2023, and was awarded the Hurun U35 China Entrepreneurial Pioneer Award in November of the same year. Translated with DeepL.com (free version)
Qing Yang
Executive Chairman of the Technology Committee
Regulus Large Model Practice and Application
Qing Yang , Executive Chairman of the Technology Committee and General Manager of Data Intelligence Application Department of DuXiaoMan Financial, graduated from Tsinghua University with a master's degree in Computer Science and worked for Baidu and Ali, engaging in R&D in NLP, search, recommendation, big data architecture and other related directions. In early 2018, he joined Degree Finance to start the formation of the Data Intelligence Department, building the core algorithms of Degree Finance's intelligence engine from 0 to 1. He has been deeply engaged in the technical capabilities of computer vision, natural language processing, graph models, machine learning, causal inference, etc. A number of articles have been collected by international top societies such as EMNLP, ACL, CIKM, etc., and the "Intelligent Credit Interpretation Central Platform The "Intelligent Credit Interpretation Centre" project won the Wu Wenjun Artificial Intelligence Science and Technology Progress Award. The related technologies are widely used in the whole process business scenarios of marketing, operation, risk control and anti-fraud of Dushanbe, providing tens of millions of customers with stable and safe financial services. Currently, he focuses on AIGC related research and product implementation work, and actively explores the application and transformation of the Wengtu, digital human and generative big model based on the model-as-a-service (MaaS) model of Du Xiaoman. At the beginning of this year, he led the team to release the first 100 billion Chinese big model "Xuanyuan", and in September, "Xuanyuan-70B" big model was ranked the top of all the open source models on the two authoritative lists of C-Eval and CMMLU.
There are more speakers coming...
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业界品牌影响力提升
大会汇聚全球互联网与科技产品领域专业人士,参展企业覆盖全球众多知名品牌,助力企业品牌展示、提升行业影响力。
汇聚行业精英人脉资源
大会听众包括来自全球顶级互联网公司的技术负责人,团队Leader,是机器学习领域实践的核心人群与高质量人脉聚集地。
资深技术专家咨询服务合作
大会邀请机器学习之父领衔的,对机器学习领域发展与实践有深刻见解的全球顶级权威专家,为企业提供一对一咨询服务与针对性解决方案。
商业模式与创投机会沟通
大会邀请机器学习领域知名商业领袖及重磅投资人出席,为企业商业发展和创投机会提供独到洞见。
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每年一度的《全球机器学习技术大会》,2天的会议,非常多的最新技术,非常精彩的报告。有兴能领略机器学习之父Michael I. Jordan关于机器学习的前沿分享,太值了。
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机器学习技术大会,收获非常多,机器学习已经涉及到生活的方方面面:休闲娱乐,衣食住行,网络安全,工业生产……
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干货满满,收获颇丰,任重道远!
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2天会议,干货非常多,很多内容也是我这段时间思考想做的事情。
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