Boston – April 20, 2025 In a transformative move that merges technology, ethics, and artistic vision, the AIWS Film Park, an initiative of the Boston Global Forum (BGF) and the AI World Society (AIWS), announces the creation of StudioVerse—a groundbreaking global...
Cambridge, MA – April 21, 2025 On April 21 afternoon at Harvard Business School, a high-level strategic dialogue will convene to advance the New Economic Alliance Initiative, a bold cooperative framework among the United States, Japan, India, Vietnam, South Korea, the...
AIWS Summit 2020 started on April 28, 2020 with talk of Speaker of the Swedish Parliament Andreas Norlén. There are many feedbacks from talk of Dr. Norlén. Continue with Speaker Norlén, on may 8, the Chief of the United Nations Academic Impact Ramu Damodaran talk on...
The early and accurate diagnosis of neurodegenerative diseases such as Alzheimer’s is critical to providing quality care to afflicted individuals. Yet, with one of the largest populations of individuals aging into the high-risk years for Alzheimer’s, improved...
Pearl, an emeritus professor of computer science at UCLA, built his career by challenging generally accepted conventions in the field of artificial intelligence (AI). When people upgraded to newer computers, Pearl continued to use his 20-year-old Wyse terminal. “I...
Professor Thomas Patterson, co-founder of Boston Global Forum and AIWS.net, will speak about his new book “Is the Republican Party Destroying Itself?” at 10:00 am (EST), May 5, 2020 at AIWS.net. The moderator is Mr. Barry Nolan, member of the Boston Global Forum...
In a pair of papers accepted to the International Conference on Learning Representations (ICLR) 2020, MIT researchers investigated new ways to motivate software agents to explore their environment and pruning algorithms to make AI apps run faster. Taken together, the...
As researchers pursued the inevitable AGI in machines, there has been a renewed interest in the idea of causality in models. There are significant implications to applying machine learning to problems of causal inference in fields such as healthcare, economics and...