Generative AI

Will Generative AI apps remain a revenue powerhouse in 2026?

[D] USQL Joins Were Cool, But Now I Want to Join the GenAI Party

Hi Experts, I have 1.5 years of experience in Data Engineering, and now I want to start learning AI, ML, and Generative AI. I already hav...

Report says Minnesota workers face highest generative AI exposure in the Midwest

A report from North Star Policy Action says Minnesota workers have the highest generative AI exposure in the Midwest and the 10th-highest...

As AI jitters rattle IT stocks, Infosys partners with Anthropic to build 'enterprise-grade' AI agents | TechCrunch

Infosys partners with Anthropic to develop enterprise-grade AI agents, integrating Claude models into its Topaz AI platform to enhance au...

Samsung is slopping AI ads all over its social channels | The Verge

Samsung is increasingly using AI-generated content in its social media advertising, raising concerns about transparency and authenticity ...

Distribution of favorite movies among 100 AI models

An analysis of 100 AI models reveals their favorite movies, highlighting a lack of diversity in choices, which raises questions about AI ...

Intl. conference on mobile learning to focus on AI

The upcoming international conference on mobile learning in Tehran will explore the integration of AI in education and vocational trainin...

AI Summit 2026 LIVE updates: AI is fifth industrial revolution, $200bn in investments over next two years, says Vaishnaw | India News

The AI Summit 2026 highlights India's commitment to artificial intelligence as a key driver of the fifth industrial revolution, with $200...

AI Summit India 2026 Live Updates: 'Apologise for any inconvenience to exhibitors' Vaishnaw said, talking about 'mismanagement' at AI Impact Summit

The AI Impact Summit 2026 in New Delhi highlights India's role in shaping global AI norms, featuring discussions on ethical governance an...

[2602.10058] Evaluating Disentangled Representations for Controllable Music Generation

This article evaluates disentangled representations in music generation, focusing on their effectiveness for controllable synthesis and i...

[2602.11368] The Manifold of the Absolute: Religious Perennialism as Generative Inference

The paper explores religious perennialism through the lens of generative inference, using mathematical models to analyze distinct religio...

[2602.08274] Language Modeling and Understanding Through Paraphrase Generation and Detection

The paper explores the role of paraphrase generation and detection in language modeling, emphasizing the need for fine-grained semantic u...

[2602.07107] ShallowJail: Steering Jailbreaks against Large Language Models

The paper introduces ShallowJail, a novel attack method targeting large language models (LLMs) by exploiting shallow alignment to manipul...

[2602.03837] Accelerating Scientific Research with Gemini: Case Studies and Common Techniques

This article explores how Google's Gemini models enhance scientific research through case studies, showcasing effective human-AI collabor...

[2602.01023] Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment

This paper presents a unified framework for Query Auto-Completion (QAC) that integrates Retrieval-Augmented Generation (RAG) and multi-ob...

[2601.21812] A Decomposable Forward Process in Diffusion Models for Time-Series Forecasting

This paper presents a novel forward diffusion process for time-series forecasting that effectively decomposes signals into spectral compo...

[2511.20974] RosettaSpeech: Zero-Shot Speech-to-Speech Translation without Parallel Speech

RosettaSpeech introduces a zero-shot framework for speech-to-speech translation, overcoming the need for parallel speech data by using mo...

[2601.09982] Context Volume Drives Performance: Tackling Domain Shift in Extremely Low-Resource Translation via RAG

This article presents a hybrid framework for improving neural machine translation performance in low-resource languages, specifically add...

[2512.22420] Nightjar: Dynamic Adaptive Speculative Decoding for Large Language Models Serving

The paper presents Nightjar, a novel algorithm for dynamic adaptive speculative decoding in large language models, enhancing throughput a...

[2510.08431] Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency

This paper presents a novel approach to large-scale diffusion distillation using a score-regularized continuous-time consistency model, a...

[2512.14166] IntentMiner: Intent Inversion Attack via Tool Call Analysis in the Model Context Protocol

The paper introduces IntentMiner, a novel approach to detect Intent Inversion Attacks in Large Language Models (LLMs) by analyzing tool c...

[2512.13697] Writing in Symbiosis: Mapping Human Creative Agency in the AI Era

This article explores the evolving relationship between human creativity and AI, particularly in writing, highlighting how authors adapt ...

[2512.09185] Learning Patient-Specific Disease Dynamics with Latent Flow Matching for Longitudinal Imaging Generation

The paper presents a novel framework, $ ext{Δ}$-LFM, for modeling patient-specific disease dynamics using latent flow matching, enhancing...