explainable ai

O'ZBEKISTONDA KREDIT RISKLARINI BOSHQARISHDA SUN'IY INTELLEKT TEXNOLOGIYALARIDAN FOYDALANISH MEXANIZMLARINI TAKOMILLASHTIRISH

Mazkur tezis O'zbekiston tijorat banklarida kredit risklarini baholash va boshqarish jarayonini sun'iy intellekt texnologiyalari asosida takomillashtirishga bag'ishlangan. Tadqiqotda kredit portfeli kengayishi sharoitida qarz oluvchining defolt ehtimolini oldindan baholash, an'anaviy skoringni ma'lumotlarga asoslangan...

GreenAI: An Explainable AI and IoT-Enabled Offline Framework for Precision Agriculture

Yes, ChatGPT (and other models) need a psychiatrist: parallels between experimental neuropsychiatry and AI alignment science

AI chatbots (such as ChatGPT or Claude) sometimes state false information with confidence, a behavior popularly termed “hallucination.” In their recent perspective, de Boer et al. [1] compared these errors to confabulation in patients with memory disorders, and asked whether ChatGPT needs a psychiatrist. I argue that i...

Can We Teach AI to See the World the Way Animals Do?

Tweet For decades, ecology has been very good at explaining the past. We can look at a collapsed fishery, a vanished pollinator population, or a coral reef bleaching event and piece together, after the fact, what went wrong. What ecology has struggled to do, and what it needs to get better at, is predicting these chang...

AI Technical Challenges and Their Strategic Implications

This chapter establishes that healthcare AI must not be treated as a solved technology. Persistent technical limitations – generalisability gaps, explainability deficits, and actionability limitations – are structural properties of current ML systems with direct strategic and patient safety consequences. The chapter in...

A deep learning-based plant disease classification using image recognition techniques

Plant diseases significantly threaten global food security, necessitating accurate and automated diagnostic systems. This work presents a modular deep learning framework for systematic benchmarking and comparative analysis of multiple architectures using the PlantVillage dataset. The framework integrates pretrained m...

ISO 55001 and AI agents: how far can we hand over control?

Artificial intelligence agents are no longer limited to producing analyses or answering questions. In some industrial facilities, they examine alarms, search for the causes of a failure, prepare interventions, create work orders and can even act directly on the process. This development promises faster decisions, bette...

Scripts for publication "Beyond Bulk Grade: Mineral–Flow Accessibility Controls Pore-Scale Copper Recovery"

Beyond Bulk Grade: Mineral–Flow Accessibility at the Pore Scale This release provides the code, analysis products, and reproducibility materials supporting the manuscript: Chakrawal et al., Beyond Bulk Grade: Mineral–Flow Accessibility Controls Pore-Scale Copper Recovery. Critical-mineral recovery is commonly interpret...

Data Physics and Anticipatory Entropic Coupling - Part II: From High-Density AI Architectures to Fundamental Theoretical Physics: Axiomatic Foundations and Extended Domain Extrapolations.

Abstract This paper establishes the grand unified framework of Data Physics and the paradigm of Anticipatory Entropic Coupling. Originating from applied thermal engineering in sub-3nm Direct-to-Chip (D2C) liquid-cooled AI clusters, the model resolves systemic thermal runaway by proving that in extreme-density processin...

Federated Learning for Medical Image Analysis Using Convolutional Neural Networks

Medical image segmentation is an important part of healthcare since it lets doctors clearly see anatomical features and diseased areas for diagnosis, therapy planning, and monitoring. CNN works fine with different types of medical images like MRI, CT and ultrasound for segmentizing it precisely. In this chapter all ava...

Artificial intelligence in wastewater treatment: critical review of predictive performance, explainability and deployment readiness

Artificial intelligence (AI) has been increasingly adopted in wastewater treatment to support soft sensing, effluent prediction, nutrient removal assessment, membrane monitoring, anomaly detection, greenhouse-gas emission modeling, and anaerobic digestion optimization. This critical review synthesizes approximately 5...

PREreview of "Memory Control Signals Emerge Before Action in Long Horizon Agents"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23197372. ## Summary This paper asks whether a language model already represents its memory needs — when to compress history, when to recall earlier evidence — in its hidden state b...