Large Language Models (LLMs) have demonstrated remarkable effectiveness in adapting to downstream tasks through fine-tuning. Federated Learning (FL) extends thi...
Overview Google is bringing its Lyria 3 AI music model into the Gemini app, allowing users to generate 30‑second songs from text, images, or video prompts dire...
Production‑Ready AI Agent Framework Benchmark We built AutoAgents – a Rust‑native framework for tool‑using AI agents – and measured it against the established...
Problem There is currently no standard way to control what AI agents are allowed to do at runtime, leading to risks such as accidental data leaks or unauthoriz...
Adaptive AI Agents for Enterprise Environments Agents built on today’s models often break with simple changes—a new library, a workflow modification, or an upd...
Overview A bug in Microsoft 365 and Copilot caused the AI assistant to summarize emails that were explicitly labeled as confidential, according to a report fro...
!Cover image for BotEmail.ai: Instant Email Inboxes for AI Agents No Human Setup Requiredhttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gra...
The AI Resume Problem AI-generated resumes share these tells: - Generic superlatives everywhere. “Passionate and results‑driven software engineer with a proven...
Lyria 3 Will Even Supply the Lyrics By Timothy Beck Werthhttps://mashable.com/author/timothy-beck-werth !Headshot of Timothy Beck Werth, a handsome journalist...
Today at the India AI Impact Summit 2026 in Delhi, we’re launching OpenAI for India, a nationwide initiative with leading Indian partners to expand access to AI...
Overview Are you ready to take your AI and cloud development skills to the next level? The Google Cloud and NVIDIA team is thrilled to announce the NVIDIA GTC...
New Lyria 3 Model Google announced that its newly incorporated Lyria 3 model enables Gemini users to generate 30‑second music tracks from a prompt or remix an...
Introduction Hey Dev — I’m the creator of Flowodo! After using mind maps for years, I noticed that most tools become too heavy, expensive, and complicated—espe...
Claude Opus 4.6 is generally available to Copilot Enterprise, Copilot Business, Copilot Pro, and Copilot Pro+. You’ll now be able to access the model in GitHub...
Introduction Hi, I’m Sanu Sharma. This is my first post on DEV, and I’m excited to start sharing my journey here. On this platform I’ll share my real experienc...
When feedback is absorbed faster than task structure can be evaluated, the learner will favor feedback over truth. A two-timescale model shows this feedback-tru...
Semantle – A Semantic Wordle Variant Semantlehttps://semantle.com/ is a Wordle‑style game that scores guesses based on semantic similarity rather than lexical...
AI Displacement of White-Collar Workers Andrew Yang, the former presidential candidate and longtime Universal Basic Income advocate, published a blog post this...
Implicit Neural Representations (INRs) have recently demonstrated impressive performance for video compression. However, since a separate INR must be overfit fo...
Latent space models are widely used for analyzing high-dimensional discrete data matrices, such as patient-feature matrices in electronic health records (EHRs),...
LLM-based agents are increasingly being deployed in contexts requiring complex authorization policies: customer service protocols, approval workflows, data acce...
Visual loco-manipulation of arbitrary objects in the wild with humanoid robots requires accurate end-effector (EE) control and a generalizable understanding of ...
Fast weight architectures offer a promising alternative to attention-based transformers for long-context modeling by maintaining constant memory overhead regard...
Large language models (LLMs) perform strongly on biological benchmarks, raising concerns that they may help novice actors acquire dual-use laboratory skills. Ye...
!Cover image for A new way to express yourself: Gemini can now create musichttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,form...
Vision-language models (VLMs) aim to reason by jointly leveraging visual and textual modalities. While allocating additional inference-time computation has prov...
LLMs are increasingly being used for complex problems which are not necessarily resolved in a single response, but require interacting with an environment to ac...
Interpretability research on large language models (LLMs) has yielded important insights into model behaviour, yet recurring pitfalls persist: findings that do ...
Machine unlearning aims to remove specific data points from a trained model, often striving to emulate 'perfect retraining', i.e., producing the model that woul...
Alibaba Qwen 3.5 – Enterprise‑Ready AI in 2026 Alibaba dropped Qwen 3.5 earlier this week, timed to coincide with the Lunar New Year. The headline numbers alon...
Single-cell RNA sequencing (scRNA-seq) data exhibit strong and reproducible statistical structure. This has motivated the development of large-scale foundation ...
With Lyria 3, Google DeepMind introduces a generative music model that significantly improves long‑range coherence, harmonic continuity, and controllability. It...
Multiple hypothesis testing with false discovery rate (FDR) control is a fundamental problem in statistical inference, with broad applications in genomics, drug...
!CarPlay Liquid Glass Lighthttps://images.macrumors.com/t/Zw_5RoAdqhDtgped3N2tc4KJ5Z8=/400x0/article-new/2025/06/CarPlay-Liquid-Glass-Light.jpg?lossy CarPlay Su...
Compositional generalization, the ability to reason about novel combinations of familiar concepts, is fundamental to human cognition and a critical challenge fo...
In this work, we study the hardness of approximation of the fair k-center problem. Here the data points are partitioned into groups and the task is to choose a ...
Current audio language models are predominantly text-first, either extending pre-trained text LLM backbones or relying on semantic-only audio tokens, limiting g...
Matched molecular pairs (MMPs) capture the local chemical edits that medicinal chemists routinely use to design analogs, but existing ML approaches either opera...
A core aspect of human perception is situated awareness, the ability to relate ourselves to the surrounding physical environment and reason over possible action...
Time-series anomaly detection (TSAD) requires identifying both immediate Point Anomalies and long-range Context Anomalies. However, existing foundation models f...
Clustering-based Approximate Nearest Neighbor Search (ANNS) organizes a set of points into partitions, and searches only a few of them to find the nearest neigh...
Automated unit test generation for C remains a formidable challenge due to the semantic gap between high-level program intent and the rigid syntactic constraint...
High-definition (HD) maps are crucial to autonomous driving, providing structured representations of road elements to support navigation and planning. However, ...
AI agents are increasingly deployed to execute important tasks. While rising accuracy scores on standard benchmarks suggest rapid progress, many agents still co...
Adversarial diffusion and diffusion-inversion methods have advanced unpaired image-to-image translation, but each faces key limitations. Adversarial approaches ...
The widespread deployment of large language models (LLMs) across linguistic communities necessitates reliable multilingual safety alignment. However, recent eff...
Executive summary - Research reveals a gap between leaders’ belief in their AI strategy and employees’ awareness or confidence in those plans, often due to vag...
Agent Skill framework, now widely and officially supported by major players such as GitHub Copilot, LangChain, and OpenAI, performs especially well with proprie...
