Showing posts with label Yale. Show all posts
Showing posts with label Yale. Show all posts

Tuesday, June 23, 2026

Lost memoir of Hiroshima survivor found after decades in US archive; The Guardian, June 22, 2026

, The Guardian; Lost memoir of Hiroshima survivor found after decades in US archive


[Kip Currier: This is another testament to the vital roles and responsibilities of information professionals around the globe who preserve precious archival artifacts, like the late Kiyoshi Tanimoto's Hiroshima 8:15 memoir. The memoir was identified in Yale University's Beinecke Rare Book & Manuscript LibraryTanimoto's poignant work gives a first-hand account in the aftermath of the atomic bombing of Hiroshima, Japan in 1945. Penguin Random House will publish this "lost memoir" on August 4, 2026. 

Other recent archival finds include: 


"The memoir of a man who survived the horrors of Hiroshima is to be published for the first time this summer after its discovery in a US archive.

The 230-page memoir was written almost 80 years ago by Kiyoshi Tanimoto, who witnessed the city’s destruction after the atomic bomb was dropped in 1945. He will now be portrayed in a feature film by Takehiro Hira, whose acclaimed roles include the detective in the Netflix Japanese-British drama Giri/Haji. Pre-production begins in November, ahead of the shoot in February 2027...

The memoir was found in the Beinecke rare book and manuscript library at Yale in New Haven, Connecticut, among the papers of John Hersey, the American Pulitzer prize-winning reporter who died in 1993."

Saturday, June 13, 2026

Can we trust AI models? Yale researchers explore the roots of chatbot errors; YaleNews, June 12, 2026

 Mike Cummings, YaleNews; Can we trust AI models? Yale researchers explore the roots of chatbot errors

"The rapid rise of artificial intelligence (AI) has inserted a new character into people’s lives: the chatbot. 

Individuals now engage with agentic AI chatbots to perform a growing number of tasks; They can help a person shop for a new laptop, manage email, or plan a vacation.   

And while these interactions can save time and increase productivity, they also carry risk. Large language models (LLM) — the AI systems trained on massive datasets to generate human-like text — are imperfect. They hallucinate. They misinterpret. They make mistakes. 

Two multidisciplinary teams of researchers associated with the Center for Algorithms, Data, and Market Design at Yale are pursuing projects that aim to balance the capability and safety of AI systems and improve interactions between users and AI models. 

Yale News recently spoke with members of both teams about their research projects."

Friday, October 17, 2025

Bridging Biology and AI: Yale and Google's Collaborative Breakthrough in Single-Cell RNA Analysis; Yale School of Medicine, October 15, 2025

 Naedine Hazell, Yale School of Medicine; Bridging Biology and AI: Yale and Google's Collaborative Breakthrough in Single-Cell RNA Analysis

"Google and Yale researchers have developed a more “advanced and capable” AI model for analyzing single-cell RNA data using large language models that is expected to “lead to new insights and potential biological discoveries.”

“This announcement marks a milestone for AI in science,” Google announced.

On social media and in comments, scientists and developers applauded the model—which Google released Oct. 15—as the much-needed bridge to make single-cell data accessible, or interpretable, by AI. 

Many scientists, including cancer researchers focusing on improving the outcomes of immunotherapies, have homed in on single-cell data to understand the mechanisms of disease that either protect, or thwart, its growth. But their efforts have been slowed by the size and complexity of data...

“Just as AlphaFold transformed how we think about proteins, we’re now approaching that moment for cellular biology. We can finally begin to simulate how real human cells behave—in context, in silico," van Dijk explained, following Google's model release. "This is where AI stops being just an analysis tool and starts becoming a model system for biology itself.”

An example of discoveries that could be revealed using this large-scale model with improved predictive power was tested by Yale and Google researchers prior to the release of the model. The findings will be shared in an forthcoming paper.

On Wednesday, the scaled-up model, Cell2Sentence-Scale 27B was released. The blog post concluded: “The open model and its resources are available today for the research community. We invite you to explore these tools, build on our work and help us continue to translate the language of life.”"

Saturday, January 22, 2011

Why Some Elite Colleges Give Away Courses Online; Chronicle of Higher Education, 1/19/11

Mark Parry, Chronicle of Higher Education; Why Some Elite Colleges Give Away Courses Online:

"Q. Some of these projects are very popular, but is there evidence of their learning effectiveness?

A. That's part of what makes the OLI [Open Learning Initiative, based at Carnegie Mellon University] so unique, is that built into the environment itself, that accomplishes the teaching, is the mechanism for assessment. ... They have given a control group and a variable group the same final, and found that the students using OLI aren't hurt in the slightest by not having had the same level of in-person instruction—that the system did just as well, if not better, at teaching them this material. ... Beyond those two studies, there really hasn't been a systematic appraisal of learning outcomes based on openly available material writ large. No one disputes that these open-courseware initiatives have done much good. But it's impossible, with the currently available data, to determine how much good."