The vast collection of Holocaust survivor testimonies presents invaluable historical insights but poses challenges for manual analysis. This paper leverages advanced Natural Language Processing (NLP) techniques to explore the USC Shoah Foundation Holocaust testimony corpus. By treating testimonies as structured question-and-answer sections, we apply topic modeling to identify key themes. We experiment with BERTopic, which leverages recent advances in language modeling technology. We align testimony sections into fixed parts, revealing the evolution of topics across the corpus of testimonies. This highlights both a common narrative schema and divergences between subgroups based on age and gender. We introduce a novel method to identify testimonies within groups that exhibit atypical topic distributions resembling those of other groups. This study offers unique insights into the complex narratives of Holocaust survivors, demonstrating the power of NLP to illuminate historical discourse and identify potential deviations in survivor experiences.

For a prolific art collector, Nicolai Tangen is remarkably relaxed about the prospect of masterpieces created by robots. The threat of AI-made paintings, impossible to distinguish from human brushstrokes, has sparked soul-searching and paranoia in the art world, but not with Tangen. "Hey, if it creates better art that's fantastic," says the Norwegian philanthropist, art historian and boss of the world's biggest sovereign wealth fund. "If you create something which is even more aesthetically pleasing, what's wrong about that?" Tangen's own gallery, a converted grain silo in the Norwegian seaside resort of Kristiansand, will open later this year to display one of the world's biggest collections of Nordic modernist art. Tangen has amassed more than 5,000 works by 300 artists.

How old is your brain, really? Just like people who look older than they really are, scientists say a person's brain can age faster than the rest of their body. With that in mind, researchers at USC have created an artificial intelligence program which can accurately tell how old someone's brain is -- while also pointing out warning signs for Alzheimer's disease. The AI program analyzes MRI brain scans, looking for signs of cognitive decline which have a link to neurodegenerative diseases, like Alzheimer's. Brain aging is one of the most reliable markers for neurodegenerative disease risk.

Vivek Astvansh explains how ChatGPT works and believes ChatGPT has the potential to replace human beings whose job is to refer to volumes of information contained on the internet, in textbooks, or in memory, and produce information based on that available content. Astvansh is an Assistant Professor in the Department of Marketing at the Kelley School of Business at Indiana University and an Adjunct Professor of Data Science at the Luddy School of Informatics, Computing, and Engineering at Indiana University. Don't Miss: Valley of Hype: The culture that built Elizabeth Holmes WATCH HERE: About Yahoo Finance: At Yahoo Finance, you get free stock quotes, up-to-date news, portfolio management resources, international market data, social interaction and mortgage rates that help you manage your financial life. Yahoo Finance Plus: With a subscription to Yahoo Finance Plus get the tools you need to invest with confidence. Discover new opportunities with expert research and investment ideas backed by technical and fundamental analysis.

Enes Bilgin works as a Principal AI Engineer and a Tech Lead at Microsoft's Autonomous Systems division, focusing on Project Bonsai. He is a machine learning and operations research practitioner and researcher and the author of a recent book "Mastering Reinforcement Learning with Python." He holds an M.S. and a Ph.D. in Systems Engineering from Boston University and a B.S. in Industrial Engineering from Bilkent University. In the past, he worked as a Research Scientist at Amazon and as an Operations Research Scientist at AMD. He also held adjunct faculty positions at the McCombs School of Business at the University of Texas at Austin and at the Ingram School of Engineering at Texas State University.

Arun Subramaniyan joined Intel to lead the Cloud & AI Strategy team. Arun joined Intel from AWS, where he led the global solutions team for Machine Learning, Quantum Computing, High Performance Computing (HPC), Autonomous Vehicles, and Autonomous Computing at AWS. His team was responsible for developing solutions across all areas of HPC, quantum computing, and large-scale machine learning applications, spanning $1.5B portfolio. Arun founded and grew the global teams for Autonomous Computing and Quantum Computing Go-to-market and solutions at AWS and grew the businesses 2-3x. Arun's primary areas of research focus are Bayesian methods, global optimization, probabilistic deep learning for large scale applications, and distributed computing.

… yielded a lot of thoughts and insights, so many in fact that Datar–a self-described geek–says he is using machine learning to absorb them.

The University of Adelaide plans to achieve substantial growth in its student population within five years, and one of the teams responsible for achieving this very aggressive goal has a new staff member this year: a chatbot. It helps answer the critical question, "Am I eligible to attend the university?" Catherine Cherry, the school's director of prospect management, is putting innovative technologies to work to help meet that goal. The University of Adelaide uses a chatbot to let prospective students know whether they're eligible to apply. Prior to the introduction of the chatbot, the university's admissions office couldn't easily answer the eligibility question for prospective students from outside of Australia who were curious about whether they could attend.

Canadian machine learning researchers from the University of Victoria have teamed up with government marine biologists and private remote sensing specialists to develop a system for improved detection and classification of schools of herring. The world's oceans are home to some 200,000 species of sea animals, including over 18,000 species of fish, more than 1,800 sea stars, 816 squids, 93 whales and dolphins and 8,900 clams and other bivalves, according to a 2015 report from the World Register of Marine Species. Ocean fishes come in a variety of shapes, sizes, and colors and live in many different depth and temperature environments. This diverse marine world is however under threat. A 2016 United Nations Food and Agriculture Organization's World Fisheries and Aquaculture report reveals that 89.5 percent of the world's fish stocks are either fully fished (catches are close to the maximum sustainable yield) or overfished (catches are unsustainable).

On a recent fall day at MIT, a group of players kicked around a soccer ball on the school's Killian Court lawn. They ran around and jumped in piles of leaves. But these weren't students, they were cheetahs. MIT's Biomimetic Robotics Labratory, which sits across the lawn from the school's iconic main building, created these so-called mini cheetahs, four-legged robots that are powered by 12 motors. They can run around untethered from cables, steered by nearby researchers using an RC-like controller. With the same basic dimensions of a Boston terrier and movements similar to that dog's energetic, scampering gait, the silver robots are strikingly adorable.