Google Opens AlphaEvolve To Cloud Customers
For data and ML teams, AlphaEvolve matters because it moves agentic coding from demos into measurable optimization loops. Google Cloud says the Gemini-powered code-optimization age...
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For data and ML teams, AlphaEvolve matters because it moves agentic coding from demos into measurable optimization loops. Google Cloud says the Gemini-powered code-optimization age...
Imagine your engineering team just deployed an AI agent to search through internal company documents and answer employee questions. It works perfectly in development, but in produc...
Agent skills have become an important part of real-world AI applications, providing a mechanism — a set of instructions saved in a folder of text-based markdown (.md) files, usuall...
Mano-P is an open-source project we've been working on. It runs a 4B-parameter vision-language model on a MacBook, controlling the computer by watching screenshots. Clicking, typin...
Most people still use AI like a 2015 search box. You type, you read, you type again. A newer pattern replaces that manual back-and-forth with a loop. This guide explains loop engin...
Ant Group and HKUST(GZ) introduce Skill-MAS, a framework that evolves multi-agent system design experience into reusable meta-skills, validated on DeepSeek-V4-Flash and other model...
Challenges of Running Custom Model InferencesWhen you deploy a machine learning model to production...
As enterprise AI systems scale to handle complex workflows, practitioners face the challenge of routing subtasks to the right tools and skills. Agents can have hundreds of tools an...
Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context win...
In this post, we introduce the UI for optimized generative AI inference recommendations in Amazon SageMaker AI Studio, a low-code no-code (LCNC) experience. The API already gives y...
LLMs have become more powerful at smaller sizes, but deploying them to edge devices like smartphones remains a massive challenge. Today, developers have to optimize across a sprawl...
A laptop on my desk now handles 78% of my AI work, with the rest sent to the cloud. The shift came out of my skill distillation work. Here’s how it works. I create tasks in Asana....
In this tutorial, we will give Gemma 4 two new tools and watch the model decide, on its own, when to look around and when to compute.
The Program-as-Weights approach could automate programming tasks while reducing dependence on cloud-based AI models. Researchers at the University of Waterloo, Cornell University,...
The vast majority of business data is tabular — living in data warehouses, CRMs, and financial ledgers — yet building a reliable model from it still means training a new one from s...
Arvix AI rewrites code, tunes infrastructure, and eliminates storage waste autonomously, validating every change before it reaches production Unravel Data, the data platform optimi...
Many of the most challenging and valuable problems in the world are related to optimization. Now, AI is now making these problems tractable. If you've ever tried to design a microc...
Test-time scaling (TTS) has emerged as a proven method to improve the performance of large language models in real-world applications by giving them extra compute cycles at inferen...
LINEヤフーの技術カンファレンス「Tech-Verse 2026」の公式記事です。こんにちは。LINEヤフー株式会社の中野です。Yahoo!検索のAI回答サービスで大規模言語モデル(LLM)の最適化...
Finding the most efficient algorithm — whether designing a microchip, routing a logistics network or accelerating medical research — can be challenging, with many possib…
Define a tool once as an MCP server and any MCP-compatible client, any model, any framework, can discover and call it with zero custom integration code per model.
Define a tool once as an MCP server and any MCP-compatible client, any model, any framework, can discover and call it with zero custom integration code per model.
One of the most interesting projects my colleagues have done with LLMs has been building a system with Bayer to allow pharmaceutical researchers to query decades of inf...
Liquid AI, founded by former MIT computer scientists, today released its smallest AI language model yet, LFM2.5-230M, and enterprises would do well to consider it for their uses in...
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