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2,752 papers
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...
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...
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...
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...
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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...
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 (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...
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...
Narrative gravity is a system-level diagnostic heuristic for explaining why some transmedia storyworlds remain coherent under platform fragmentation while others lose interpretive stability. The problem is not simply how stories circulate or whether a world possesses a stable core. It is what coherence looks like after...
This chapter examines scoring methods used in educational assessment from an epistemological perspective that focuses on how scores are generated. Accordingly, the methods are organized into three main categories: process-based scoring approaches, automated scoring, and comparative judgement. The first section discusse...
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23181910. Major issues From the title: The phrase "drug resistance in host" is also unclear. It needs to be revised so as to reflect the paper's actual focus. The manuscript mainly...
It is demonstrated that the effectiveness of AICSR initiatives extends beyond their direct contribution to customer loyalty, revealing the interconnected mechanisms through which AI-induced CSR can generate broader customer value.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
A Blog post by Liquid AI on Hugging Face
In Compton Lecture, the distinguished legal scholar warns of potential “loss of the Enlightenment” while suggesting ways innovations can meet our civic and cultural needs.
Generative AI
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