Interpretable Differential Diagnosis with Dual-Inference Large Language Models
11 Jul

Interpretable Differential Diagnosis with Dual-Inference Large Language Models

stp2y0 CommentsViral News
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Source link lol
Read More
Eye On AI: Q2 Funding Shows Investors Are Willing To Open Their Checkbooks — For the Right Company
11 Jul

Eye On AI: Q2 Funding Shows Investors Are Willing To Open Their Checkbooks — For the Right Company

stp2y0 CommentsRAG models
This column is a look back at the week that was in AI. Read the previous one here. Last quarter was a great quarter if you were a founder of an AI-related startup looking for funding — maybe. Such startups saw more money in 2Q than they ever have before, raising a whopping $24.2 billion in 1,001 deals, per Crunchbase data. This is more than twice as much as raised by similar startups in the first quarter and also about twice what was raised in the same quarter last year. Thanks to the huge windfall seen in Q2, the first…
Read More
Lifestyle-Informed Personalized Blood Biomarker Prediction via Novel Representation Learning
11 Jul

Lifestyle-Informed Personalized Blood Biomarker Prediction via Novel Representation Learning

stp2y0 CommentsViral News
arXiv:2407.07277v1 Announce Type: new Abstract: Blood biomarkers are an essential tool for healthcare providers to diagnose, monitor, and treat a wide range of medical conditions. Current reference values and recommended ranges often rely on population-level statistics, which may not adequately account for the influence of inter-individual variability driven by factors such as lifestyle and genetics. In this work, we introduce a novel framework for predicting future blood biomarker values and define personalized references through learned representations from lifestyle data (physical activity and sleep) and blood biomarkers. Our proposed method learns a similarity-based embedding space that captures the complex relationship between…
Read More
‘Shrek 5’ is coming and Eddie Murphy, Cameron Diaz, and Mike Myers are back. Here’s what to know about the sequel.
11 Jul

‘Shrek 5’ is coming and Eddie Murphy, Cameron Diaz, and Mike Myers are back. Here’s what to know about the sequel.

stp2y0 CommentsRAG models
"Shrek 5" is heading to theaters in 2026.It has been 14 years since the last sequel to "Shrek," the pop culture juggernaut that turned DreamWorks Animation into a leading film studio.The first film won an Oscar, and the franchise made nearly $3 billion across the first four films. The "Puss In Boots" spinoff movies, released in 2011 and 2022, also made an extra billion dollars.A "Shrek" sequel has been rumored for years, but fans were beginning to lose hope after "Shrek Forever After" provided a neat finish to the story. The decision to restart the "Shrek" franchise may be due…
Read More
Reference-based Controllable Scene Stylization with Gaussian Splatting
11 Jul

Reference-based Controllable Scene Stylization with Gaussian Splatting

stp2y0 CommentsViral News
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Source link lol
Read More
AI’s Energy Demands Are Out of Control. Welcome to the Internet’s Hyper-Consumption Era
11 Jul

AI’s Energy Demands Are Out of Control. Welcome to the Internet’s Hyper-Consumption Era

stp2y0 CommentsAI, , , , ,
Right now, generative artificial intelligence is impossible to ignore online. An AI-generated summary may randomly appear at the top of the results whenever you do a Google search. Or you might be prompted to try Meta’s AI tool while browsing Facebook. And that ever-present sparkle emoji continues to haunt my dreams.This rush to add AI to as many online interactions as possible can be traced back to OpenAI’s boundary-pushing release of ChatGPT late in 2022. Silicon Valley soon became obsessed with generative AI, and nearly two years later, AI tools powered by large language models permeate the online user experience.One…
Read More
Adversarial Machine Learning: Defense Strategies
11 Jul

Adversarial Machine Learning: Defense Strategies

stp2y0 CommentsGenAI
Adversarial attacks manipulate ML model predictions, steal models, or extract data. Different attack types exist, including evasion, data poisoning, Byzantine, and model extraction attacks. Defense strategies like adversarial learning, monitoring, defensive distillation, and differential privacy improve robustness against adversarial attacks. Multiple aspects have to be considered when evaluating the effectiveness of different defense strategies, including the method’s robustness, impact on model performance, and adaptability to the constant flow of brand-new attack mechanisms. The growing prevalence of ML models in business-critical applications results in an increased incentive for malicious actors to attack the models for their benefit. Developing robust defense strategies…
Read More
Probability of Differentiation Reveals Brittleness of Homogeneity Bias in Large Language Models
11 Jul

Probability of Differentiation Reveals Brittleness of Homogeneity Bias in Large Language Models

stp2y0 CommentsViral News
arXiv:2407.07329v1 Announce Type: new Abstract: Homogeneity bias in Large Language Models (LLMs) refers to their tendency to homogenize the representations of some groups compared to others. Previous studies documenting this bias have predominantly used encoder models, which may have inadvertently introduced biases. To address this limitation, we prompted GPT-4 to generate single word/expression completions associated with 18 situation cues - specific, measurable elements of environments that influence how individuals perceive situations and compared the variability of these completions using probability of differentiation. This approach directly assessed homogeneity bias from the model's outputs, bypassing encoder models. Across five studies, we find…
Read More
The Morning After: Everything Samsung revealed at Galaxy Unpacked 2024
11 Jul

The Morning After: Everything Samsung revealed at Galaxy Unpacked 2024

stp2y0 CommentsNews, ,
There weren’t too many surprises (thanks, leaks!) at Samsung’s , held live in Paris with satellite events in New York, London and elsewhere. The big announcement was Samsung’s foray into a new kind of wearable, the smart ring.Samsung claims it’s been able to cram its existing sensor tech into the smaller form factor. Made of titanium, it packs in an accelerometer and PPG sensors to measure blood flow and detect skin temperature. It can track metrics such as sleep score, movement during your slumber, heart rate, respiratory rate and menstrual cycles. Notably, there’s no subscription required to tap into all…
Read More
No widgets found. Go to Widget page and add the widget in Offcanvas Sidebar Widget Area.