Tootfinder

The UK High Court warns lawyers of possible criminal charges for using AI-generated fake legal material, citing two recent cases with hallucinated content (Lizzie Dearden/New York Times)
https://www.nytimes.com/2025/06/06/world/europe/england-high-court-…

UK Court Warns Lawyers Can Be Prosecuted Over A.I. Tools That ‘Hallucinate’ Fake Material
A senior judge said on Friday that lawyers could be prosecuted for presenting material that had been “hallucinated” by artificial intelligence tools.

"‘We don’t need a disaster to justify resilience’: Climate projects can bring big economic benefits"
#Climate #ClimateChange #Finance

How climate resilience projects are paying off around the world
The 320 climate projects analysed were found to have potential yields of about €1 trillion in projected returns over a decade.

Next stop on our NLP timeline (as part of the #ISE2025 lecture) was Terry Winograd's SHRDLU, an early natural language understanding system developed in 1968-70 that could manipulate blocks in a virtual world.
Winograd, T. Procedures as a Representation for Data in a Computer Program for Understanding Natural Language. MIT AI Technical Report 235.

product_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …

Got a new op-ed in LNC/LancasterOnline this morning, on the importance of the curiosity-driven science the National Science Foundation is supposed to support
"For every Thermus aquaticus there are hundreds of scientific projects that end in nothing more than a peer-reviewed research article and some fond memories of fieldwork. But we need those hundreds of curiosity-driven studies to find that one lucky, world-changing discovery."

I am ignorant on what it is to be trans or a woman or a world-class athlete, but I THINK the problem here is a doomed project of representing a multidimensional continuously variable attribute with a single Boolean https://infosec.exchange/@JessTheUnstill/114639211101368863

Catastrophizing in Tinnitus and Balance Disorders
https://www.psychologytoday.com/us/blog/sound-mind/202506/catastrophizing-in-tinnitus-and-balance-disorders?utm_source=fli…

Catastrophizing in Tinnitus and Balance Disorders
Catastrophizing links disordered sensory processing to the emotional and functional burden of tinnitus and dizziness.

Model-Driven Graph Contrastive Learning
Ali Azizpour, Nicolas Zilberstein, Santiago Segarra
https://arxiv.org/abs/2506.06212 https://…

Model-Driven Graph Contrastive Learning
We propose $\textbf{MGCL}$, a model-driven graph contrastive learning (GCL) framework that leverages graphons (probabilistic generative models for graphs) to guide contrastive learning by accounting for the data's underlying generative process. GCL has emerged as a powerful self-supervised framework for learning expressive node or graph representations without relying on annotated labels, which are often scarce in real-world data. By contrasting augmented views of graph data, GCL has demonstrat…

From Theory to Practice: Real-World Use Cases on Trustworthy LLM-Driven Process Modeling, Prediction and Automation
Peter Pfeiffer, Alexander Rombach, Maxim Majlatow, Nijat Mehdiyev
https://arxiv.org/abs/2506.03801

From Theory to Practice: Real-World Use Cases on Trustworthy LLM-Driven Process Modeling, Prediction and Automation
Traditional Business Process Management (BPM) struggles with rigidity, opacity, and scalability in dynamic environments while emerging Large Language Models (LLMs) present transformative opportunities alongside risks. This paper explores four real-world use cases that demonstrate how LLMs, augmented with trustworthy process intelligence, redefine process modeling, prediction, and automation. Grounded in early-stage research projects with industrial partners, the work spans manufacturing, modeli…

DermaCon-IN: A Multi-concept Annotated Dermatological Image Dataset of Indian Skin Disorders for Clinical AI Research
Shanawaj S Madarkar, Mahajabeen Madarkar, Madhumitha V, Teli Prakash, Konda Reddy Mopuri, Vinaykumar MV, KVL Sathwika, Adarsh Kasturi, Gandla Dilip Raj, PVN Supranitha, Harsh Udai
https://arxiv.org/abs/2506.06099…

DermaCon-IN: A Multi-concept Annotated Dermatological Image Dataset of Indian Skin Disorders for Clinical AI Research
Artificial intelligence is poised to augment dermatological care by enabling scalable image-based diagnostics. Yet, the development of robust and equitable models remains hindered by datasets that fail to capture the clinical and demographic complexity of real-world practice. This complexity stems from region-specific disease distributions, wide variation in skin tones, and the underrepresentation of outpatient scenarios from non-Western populations. We introduce DermaCon-IN, a prospectively cu…