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aicerts. ai > news > hospitals-brace-for-ai-imaging-misuse-risks

Hospitals Brace for AI Imaging Misuse Risks

13+ hour, 54+ min ago  (349+ words) July 2025 research in npj Digital Medicine produced 9, 060 synthetic patient portraits across 29 diseases. However, the authors found stark demographic bias among four leading generators, including Midjourney. Adobe's model portrayed White patients 87% of the time, while Midjourney reached 78%. Meanwhile, real clinical datasets…...

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CHOSUNBIZ
biz. chosun. com > en > en-science > 06/19/2026 > O6 VU3 VJV5 JBAXAEEQLAW5 L7 HD4

Remedi leverages KOSDAQ to expand AI X-ray from medical to industry, space

14+ hour, 19+ min ago  (15+ words) CHOSUNBIZ Chosunbiz...

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Crypto Briefing
cryptobriefing. com > yann-lecun-llm-limitations-bloomberg

Yann Le Cun says large language models are a dead end, gives them five years

1+ day, 5+ hour ago  (259+ words) The Turing Award winner and former Meta AI chief argues that scaling LLMs won't produce human-level intelligence and predicts their obsolescence across most applications. Yann Le Cun, arguably the most credentialed skeptic in artificial intelligence, went on Bloomberg's "The Close…...

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Analytics Vidhya
analyticsvidhya. com > blog > 2026 > 06 > chatgpt-tips-and-features

Most People Use Chat GPT Wrong: 10 Features and Tips That Changed How I Work

1+ day, 12+ hour ago  (1060+ words) India's Most Futuristic AI Conference Is Back " Bigger, Sharper, Bolder Most people used Chat GPT like a smarter search engine. Ask a question, get an answer, and move on. It works but it leaves a surprising amount of value on…...

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DEV Community
dev. to > jamesli > part-3-vector-retrieval-in-domain-specific-terminology-scenarios-from-model-selection-to-dual-3485

Part 3 " Vector Retrieval in Domain-Specific Terminology Scenarios: From Model Selection to Dual Validation

1+ day, 15+ hour ago  (951+ words) Part 1 built the knowledge base. Part 2 handled chunking. The first version of the system used text-embedding-ada-002 for retrieval " Open AI's most mainstream embedding model at the time. The first instinct was to tune the similarity threshold: drop from 0. 85 to 0. 75? To…...

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Towards Data Science
towardsdatascience. com > what-the-question-parser-extracts-from-a-user-string-keywords-scope-shape-decomposition-clarification

What the Question Parser Extracts from a User String: Keywords, Scope, Shape, Decomposition, Clarification

2+ day, 13+ hour ago  (1670+ words) Enterprise Document Intelligence [Vol. 1 #6b] " The five field families the parser reads straight from the user's question, with the code that fills each one A question is more than its words. It also tells you what shape the answer should take,…...

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Multisoft Ai
multisoftsystems. ai > blog > generative-ai-explained-how-it-works-use-cases-benefits-and-future

Generative AI Explained: How It Works, Use Cases,

2+ day, 14+ hour ago  (320+ words) Before training begins, the collected data undergoes preprocessing to improve its quality and consistency. This process includes removing duplicate or irrelevant information, correcting formatting issues, filtering inappropriate content, and converting data into a structured format. Proper preprocessing helps reduce noise…...

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Carleton News
carleton. ca > news > story > words-look-like-their-meaning

Why Words That Look Like Their Meaning Are Easier to Read

1+ mon, 5+ day ago  (782+ words) Lead image by Jernej Graj / Unsplash Think about a word that looks like its meaning. For instance, the word bed kind of looks like a bed, with the vertical lines resembling the posts at either end. Loop looks very loopy....

Let's Data Science
letsdatascience. com > news > paper-analyzes-chain-of-thought-state-tracking-in-transforme-83a56fea

Paper Analyzes Chain-of-Thought State Tracking in Transformer Model

2+ day, 21+ hour ago  (676+ words) According to the ar Xiv preprint **2606. 18164** (submitted **16 Jun 2026**), Niklas Forner and coauthors study how transformers learn chain-of-thought style state updates in a solvable setting. The paper trains a simplified `one-block transformer` by supervised next-token prediction on sequences produced by composing…...

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DEV Community
dev. to > team_zerogpu > -dont-waste-tokens-on-data-entry-tag-customer-reviews-overnight-with-zerogpu-batch-api-1pjf

Don't Waste Tokens on Data Entry: Tag Customer Reviews Overnight with Zero GPU Batch API

3+ day, 9+ hour ago  (334+ words) A new cookbook to demonstrate our new Batch API. Most teams sit on massive backlogs of unstructured text'customer reviews, support tickets, and survey responses. They want to classify it, but doing it one synchronous API call at a time is…...

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