AI Technology & Industry Review
A research team from Sun Yat-sen University and UBTECH proposes a unified approach for justifying, analyzing, and improving foundation models in the new paper Big Learning: A Universal Machine Learning Paradigm? The team’s big learning framework can model many-to-all joint/conditional/marginal data distributions and delivers extraordinary data and task flexibilities.
A research team from Microsoft, Peking University, Tencent, and Baidu proposes SPANN, a simple but efficient memory-disk hybrid vector indexing and search system that guarantees both low latency and high recall and achieves a 2× speedup over the state-of-the-art nearest neighbour search (ANNS) solution while retaining the same recall quality and memory cost.
South Korea’s Customs Service has partnered with the government-funded Institute for Basic Science (IBS) to conduct joint research on AI technology using customs trade data.
On February 16, Goldman Sachs announced that it is launching an automated wealth management platform to invest client funds in a portfolio of stocks and bonds.
IBM has closed off its Beijing-based China Research Laboratory (CRL) after 25 years of operation.
ACM SIGKDD Invites Industry and Academic Experts to Submit Advancements in Data Mining, Knowledge Discovery and Machine Learning for 26th Annual Conference in San Diego
The market opportunities for IIoT are massive. Markets & Markets reports the global IIoT market is expected to grow at a CAGR of 7.39 percent to reach US$91.4 billion by 2023, with the manufacturing industry holding the largest market share.
Cosmetic surgery companies are turning to big data, facial recognition, neural networks, adversarial learning and deep learning technologies that can assess the human face and generate outcomes for a specific procedures to guide patients to their best surgical options.