Coding Agents See 75% Surge: SimilarWeb’s AI Usage Report Highlights the Sectors Winning and Losing in 2025’s Generative AI Boom

As generative AI continues to redefine digital workflows across industries, SimilarWeb’s ‘AI Global Report: Global Sector Trends on Generative AI’ (ending May 9, 2025) offers a comprehensive snapshot of shifting…

Rime Introduces Arcana and Rimecaster (Open Source): Practical Voice AI Tools Built on Real-World Speech

The field of Voice AI is evolving toward more representative and adaptable systems. While many existing models have been trained on carefully curated, studio-recorded audio, Rime is pursuing a different…

Google DeepMind Introduces AlphaEvolve: A Gemini-Powered Coding AI Agent for Algorithm Discovery and Scientific Optimization

Algorithm design and scientific discovery often demand a meticulous cycle of exploration, hypothesis testing, refinement, and validation. Traditionally, these processes rely heavily on expert intuition and manual iteration, particularly for…

Meta AI Introduces CATransformers: A Carbon-Aware Machine Learning Framework to Co-Optimize AI Models and Hardware for Sustainable Edge Deployment

As machine learning systems become integral to various applications, from recommendation engines to autonomous systems, there’s a growing need to address their environmental sustainability. These systems require extensive computational resources,…

Agent-Based Debugging Gets a Cost-Effective Alternative: Salesforce AI Presents SWERank for Accurate and Scalable Software Issue Localization

Identifying the exact location of a software issue—such as a bug or feature request—remains one of the most labor-intensive tasks in the development lifecycle. Despite advances in automated patch generation…

A Step-by-Step Guide to Build a Fast Semantic Search and RAG QA Engine on Web-Scraped Data Using Together AI Embeddings, FAISS Retrieval, and LangChain

In this tutorial, we lean hard on Together AI’s growing ecosystem to show how quickly we can turn unstructured text into a question-answering service that cites its sources. We’ll scrape…

Rethinking Toxic Data in LLM Pretraining: A Co-Design Approach for Improved Steerability and Detoxification

In the pretraining of LLMs, the quality of training data is crucial in determining model performance. A common strategy involves filtering out toxic content from the training corpus to minimize…

This AI Paper Investigates Test-Time Scaling of English-Centric RLMs for Enhanced Multilingual Reasoning and Domain Generalization

Reasoning language models, or RLMs, are increasingly used to simulate step-by-step problem-solving by generating long, structured reasoning chains. These models break down complex questions into simpler parts and build logical…

PwC Releases Executive Guide on Agentic AI: A Strategic Blueprint for Deploying Autonomous Multi-Agent Systems in the Enterprise

In its latest executive guide, “Agentic AI – The New Frontier in GenAI,” PwC presents a strategic approach for what it defines as the next pivotal evolution in enterprise automation:…

Reinforcement Learning, Not Fine-Tuning: Nemotron-Tool-N1 Trains LLMs to Use Tools with Minimal Supervision and Maximum Generalization

Equipping LLMs with external tools or functions has become popular, showing great performance across diverse domains. Existing research depends on synthesizing large volumes of tool-use trajectories through advanced language models…