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Results for "app performance".

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27 results for "app performance"

SEEKING ALPHA

TCAF: I Remain A Skeptic Owing To Mostly Disappointing Performance, Factor Mix

T Rowe Price Capital Appreciation Equity ETF is managed actively, with its goal being to provide long-term capital growth. Read why TCAF is a Hold.…

· 8 views
KOREA TIMES NEWS

Trump approval sinks to new low as Iran war drives cost-of-living concerns

WASHINGTON — President Donald Trump's approval rating fell to the lowest level of his current term, as Americans increasingly soured on his handling of the cost of living and an unpopular war with Ira…

· 11 views
ARXIV.ORG

Towards Automated Ontology Generation from Unstructured Text: A Multi-Agent LLM Approach

Automatically generating formal ontologies from unstructured natural language remains a central challenge in knowledge engineering. While large language models (LLMs) show promise, it remains unclear …

· 3 views
AL JAZEERA – BREAKING NEWS, WO

Trump approval dips to record low amid Iran war, inflation woes: Poll

Only 22 percent of US voters back the president's performance on the cost of living, Reuters/Ipsos survey suggests.…

· 1 view
CAL PERFORMANCES

120 years of artistry: Cal Performances announces its 2026-27 season

Jeremy Geffen introduce the 2026-27 season, a celebration capping 120 years of presenting the world's most exciting artists at UC Berkeley.…

· 1 view
ARXIV.ORG

The Price of Agreement: Measuring LLM Sycophancy in Agentic Financial Applications

Given the increased use of LLMs in financial systems today, it becomes important to evaluate the safety and robustness of such systems. One failure mode that LLMs frequently display in general domain …

· 3 views
ARXIV.ORG

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

NVIDIA's CUDA Tile (CuTile) introduces a Python-based, tile-centric abstraction for GPU kernel development that aims to simplify programming while retaining Tensor Core and Tensor Memory Accelerator (…

· 6 views
YAHOO FINANCE

CMS (CMS) Q1 2026 Earnings Call Transcript

Whether it is our long capital runway, Michigan’s top-tier regulatory jurisdiction, our ability to keep bills affordable for customers, or the strong economic growth across the state, this model works…

· 4 views
YAHOO SPORTS

Frustration & anger as derby defeat leaves season a dead rubber

There was definitely disappointment, some pride in the performance of the nine men that stayed on the pitch, frustration at the two red-carded players, and anger at a referee that just would not pull …

· 3 views
THE GUARDIAN — WORLD

MacBook Pro M5 review: serious power, still long battery life

Apple laptop sets new performance bar with more storage, new chips and plenty of options, but now has two-tier specs depending on processor…

· 4 views
ARXIV.ORG

An Intelligent Fault Diagnosis Method for General Aviation Aircraft Based on Multi-Fidelity Digital Twin and FMEA Knowledge Enhancement

Fault diagnosis of general aviation aircraft faces challenges including scarce real fault data, diverse fault types, and weak fault signatures. This paper proposes an intelligent fault diagnosis frame…

· 3 views
ARXIV.ORG

Towards Causally Interpretable Wi-Fi CSI-Based Human Activity Recognition with Discrete Latent Compression and LTL Rule Extraction

We address Human Activity Recognition (HAR) utilizing Wi-Fi Channel State Information (CSI) under the joint requirements of causal interpretability, symbolic controllability, and direct operation on h…

· 3 views
ARXIV.ORG

Don't Make the LLM Read the Graph: Make the Graph Think

We investigate whether explicit belief graphs improve LLM performance in cooperative multi-agent reasoning. Through 3,000+ controlled trials across four LLM families in the cooperative card game Hanab…

· 3 views
ARXIV.ORG

Thinking Like a Clinician: A Cognitive AI Agent for Clinical Diagnosis via Panoramic Profiling and Adversarial Debate

The application of large language models (LLMs) in clinical decision support faces significant challenges of "tunnel vision" and diagnostic hallucinations present in their processing unstructured elec…

· 3 views
ARXIV.ORG

Tandem: Riding Together with Large and Small Language Models for Efficient Reasoning

Recent advancements in large language models (LLMs) have catalyzed the rise of reasoning-intensive inference paradigms, where models perform explicit step-by-step reasoning before generating final ans…

· 3 views
ARXIV.ORG

FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment

In recent years, the integration of multimodal machine learning in wellbeing assessment has offered transformative potential for monitoring mental health. However, with the rapid advancement of Vision…

· 4 views
ARXIV.ORG

Context-Aware Hospitalization Forecasting Evaluations for Decision Support using LLMs

Medical and public health experts must make real-time resource decisions, such as expanding hospital bed capacity, based on projected hospitalization trends during large-scale healthcare disruptions (…

· 5 views
ARXIV.ORG

An empirical evaluation of the risks of AI model updates using clinical data: stability, arbitrariness, and fairness

Artificial Intelligence and Machine Learning (AI/ML) models used in clinical settings are increasingly deployed to support clinical decision-making. However, when training data become stale due to cha…

· 3 views
ARXIV.ORG

QED: An Open-Source Multi-Agent System for Generating Mathematical Proofs on Open Problems

We explore a central question in AI for mathematics: can AI systems produce original, nontrivial proofs for open research problems? Despite strong benchmark performance, producing genuinely novel proo…

· 6 views
ARXIV.ORG

Grounding Before Generalizing: How AI Differs from Humans in Causal Transfer

Extracting abstract causal structures and applying them to novel situations is a hallmark of human intelligence. While Large Language Models (LLMs) and Vision Language Models (VLMs) have shown strong …

· 3 views
ARXIV.ORG

An Information-Geometric Framework for Stability Analysis of Large Language Models under Entropic Stress

As large language models (LLMs) are increasingly deployed in high-stakes and operational settings, evaluation strategies based solely on aggregate accuracy are often insucient to characterize system r…

· 3 views
ARXIV.ORG

An Analysis of the Coordination Gap between Joint and Modular Learning for Job Shop Scheduling with Transportation Resources

Efficient job-shop scheduling with transportation resources is critical for high-performance manufacturing. With the rise of "decentralized factories", multi-agent reinforcement learning has emerged a…

· 3 views
ARXIV.ORG

Generative Design of a Gas Turbine Combustor Using Invertible Neural Networks

The need to burn 100% H2 in high efficient gas turbines featuring low NOx combustion in premix mode require the complete redesign of the combustion system to ensure stable operation without any flashb…

· 3 views
REDDIT

Comparison of upcoming x86 unified memory systems

AMD Gorgon halo summer this year. 15% faster memory clock speeds / bandwidth, than strix halo . Intel nova lake ax expected early next year. 2027 summer: AMD Medusa Halo , 50% performance improvement …

· 6 views
REDDIT

Thoughts on using an AMD Alveo V80 FPGA PCI card as a poor man’s Taalas HC1 (LLM-burned-onto-a-chip).

TL:DR - Remembered FPGA PCI boards being a big thing from my crypto days. Wondered if AMD Alveo V80 FPGA card could be used to approximate the performance of a Taalas HC1 (LLM-on-a-chip). Ran the idea…

· 12 views
REDDIT

Hardware Choice for 27b to 31b models.

I've come to a point where I find the 27b and 31b models quite impressive. I have a 16 GB AMD Radeon 7800xt. It performs quite well. It was $700. Here is my question: Is the dual GPU approach performa…

· 7 views
LOCALLLAMA

GLM 5.1 Locally: 40tps, 2000+ pp/s

After some sglang patching and countless experiments, managed to get reap-ed nvfp4 version running stable and FAST on 4 x RTX 6000 Pros (limited to 350W). Very happy with performance and quality. Infe…

· 8 views