Background I’m writing this based on a Udemy course on Agentic AI, and I wanted to reflect on how AI evolved into what we now call agentic systems. Rule‑Based...

Diffusion-based Real-World Image Super-Resolution (Real-ISR) achieves impressive perceptual quality but suffers from high computational costs due to iterative s...

Safety-critical task planning in robotic systems remains challenging: classical planners suffer from poor scalability, Reinforcement Learning (RL)-based methods...

Recent progress in text-to-image generation has greatly advanced visual fidelity and creativity, but it has also imposed higher demands on prompt complexity-par...

Modern microscopy routinely produces gigapixel images that contain structures across multiple spatial scales, from fine cellular morphology to broader tissue or...

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AI agents powered by reasoning models require access to sensitive user data. However, their reasoning traces are difficult to control, which can result in the u...

Diffusion models achieve state-of-the-art video generation quality, but their inference remains expensive due to the large number of sequential denoising steps....

Despite their capabilities, Multimodal Large Language Models (MLLMs) may produce plausible but erroneous outputs, hindering reliable deployment. Accurate uncert...

The Reusable Skill Revolution We've seen this pattern before. Developers used to write custom code for every single feature. Then npm changed everything—you co...

We present a scalable methodology for evaluating language models in multi-turn interactions, using a suite of collaborative games that require effective communi...

Starting this week, Perplexity subscribers will have a new agentic tool at their disposal. New Perplexity Computer Perplexity Computer “unifies every current AI...

Small language models (SLMs) have emerged as efficient alternatives to large language models for task-specific applications. However, they are often employed in...

Argumentative LLMs (ArgLLMs) are an existing approach leveraging Large Language Models (LLMs) and computational argumentation for decision-making, with the aim ...

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Mobile Agents can autonomously execute user instructions, which requires hybrid-capabilities reasoning, including screen summary, subtask planning, action decis...

The expansion of retrieval-augmented generation (RAG) into multimodal domains has intensified the challenge for processing complex visual documents, such as fin...

Interpretability in AI: Asking the Right Question Researchers, practitioners, and even regulators often ask whether a model is interpretable. This framing assum...

This paper proposes CIRCLE, a six-stage, lifecycle-based framework to bridge the reality gap between model-centric performance metrics and AI's materialized out...

Large Language Model (LLM) adapters enable low-cost model specialization, but introduce complex caching and scheduling challenges in distributed serving systems...

The Real Difference Between Junior and Senior Data Scientists If you spend even five minutes on LinkedIn or X formerly Twitter, you’ll notice a loud debate rag...

Serverless computing simplifies cloud deployment but introduces new challenges in managing service latency and carbon emissions. Reducing cold-start latency req...

Software engineering agents (SWE) are improving rapidly, with recent gains largely driven by reinforcement learning (RL). However, RL training is constrained by...

Anthropic’s Shift Away From Its Core Safety Promise Anthropic, founded with the mission to build AI systems aligned with human values, has long positioned itse...

Background Defense Secretary Pete Hegseth issued an ultimatum to Anthropic, threatening to cancel a $200 million contract and label the company a “supply chain...

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Machine unlearning for large language models often faces a privacy dilemma in which strict constraints prohibit sharing either the server's parameters or the cl...

Overview Introducing Sentira CORE, an interactive NLP & ML‑powered tool that analyzes text emotions with high precision. It detects six emotions — Joy, Love, S...

Benchmarks Measure Models, Not Systems python model.fitX, y Timing starts before .fit and ends after. What’s missing? - Data loading - Data cleaning - Feature...

LLM-powered Multi-Agent Systems (MAS) have demonstrated remarkable capabilities in complex domains but suffer from inherent fragility and opaque failure mechani...

Release Announcement Google announced on the 27th that it will launch Gemini 3.1 Flash, featuring the latest image‑generation model NanoBanana 2 Gemini 3.1 Fla...

Introduction AI agents excel at reasoning. The harder part is operational: running multi‑step work reliably over time, across real tools and real systems, with...

Since 2019, Microsoft and OpenAI have worked together to advance artificial intelligence responsibly and make its benefits broadly accessible. What began as a r...

Announcement OpenAI and Amazon NASDAQ: AMZN today announced a multi‑year strategic partnership to accelerate AI innovation for enterprises, startups, and end c...

Funding Announcement AI demand is surging across consumers, developers, and businesses. Meeting that demand and providing everyone access to our products requi...

!https://cdn.platum.kr/wp-content/uploads/2026/02/aaa.png Overview AI 보안 전문기업 에임인텔리전스AIM Intelligence가 참여한 연구 논문이 AI 분야 국제 학술대회 ICLR 2026International Conferenc...

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For every real number c geq 1 and for all varepsilon > 0, there is a fitness function f : {0,1}^n to mathbb{R} for which the optimal mutation rate for the (1...

'markdown Jan 29, 2026 Ajeet Mirwanihttps://developers.googleblog.com/search/?author=Ajeet+Mirwani Americas Program Lead, Google Developer Experts

Google’s latest image model, Nano Banana 2, is a powerful AI photo editor that punctures reality. Well, sometimes....

The Problem with Long System Prompts Enterprises building LLM applications often create very long system prompts to inject company knowledge, preferences, and...

Each week, more than 900 million people use ChatGPT to improve their daily lives—whether learning new skills or navigating complex healthcare systems. Our ongoi...

Large-scale Graph Neural Networks (GNNs) are typically trained by sampling a vertex's neighbors to a fixed distance. Because large input graphs are distributed,...

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Overview Given the right permissions and with the proper plugins, Perplexity’s new “Computer” could create, modify, or delete a user’s files and otherwise perf...

Overview Google has launched Nano Banana 2 Gemini 3.1 Flash Image, a faster, more realistic image‑generation model that is now the default across Gemini, Searc...

The Input Gate Explained In the previous article, we went through the second and third components of an LSTM. We will deepen that understanding here. Starting...

Best OpenClaw Setup: Optimizing Agents for Efficiency and Effectiveness If you are running OpenClaw agents, you have probably noticed that not all setups are cr...