AI News

Cadence expands AI and robotic partnerships with Nvidia, Google Cloud

Cadence Design Systems announced two AI-related collaborations at its CadenceLIVE event this week, expanding its work with Nvidia and introducing new integrations with Google Cloud. The Nvidia partnership focuses on combining AI with physics-based simulation and accelerated computing for robotic systems and system-level design. The companies said the approach targets modelling and deployment in semiconductors […]

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OpenAI Agents SDK improves governance with sandbox execution

OpenAI is introducing sandbox execution that allows enterprise governance teams to deploy automated workflows with controlled risk. Teams taking systems from prototype to production have faced difficult architectural compromises regarding where their operations occurred. Using model-agnostic frameworks offered initial flexibility but failed to fully utilise the capabilities of frontier models. Model-provider SDKs remained closer to […]

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5 top cloud migration software for Infrastructure as Code (IaC)

Cloud migration becomes much harder when teams are not moving workloads, but also trying to make every environment reproducible and deployment-ready through Infrastructure as Code. The challenge is not limited to copying applications from one platform to another. It includes validating architecture decisions, controlling drift, enforcing policies, coordinating approvals, and making sure deployment logic can […]

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UCSD and Together AI Research Introduces Parcae: A Stable Architecture for Looped Language Models That Achieves the Quality of a Transformer Twice the Size

The dominant recipe for building better language models has not changed much since the Chinchilla era: spend more FLOPs, add more parameters, train on more tokens. But as inference deployments consume an ever-growing share of compute and model deployments push toward the edge, researchers are increasingly asking a harder question — can you scale quality […]

The post UCSD and Together AI Research Introduces Parcae: A Stable Architecture for Looped Language Models That Achieves the Quality of a Transformer Twice the Size appeared first on MarkTechPost.

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Canva’s AI 2.0 update goes all in on prompt-powered design tools

Canva has overhauled its design and workspace suite as it attempts to become the ultimate centralized hub for AI-powered content creation. The platform announced its Canva AI 2.0 update today, introducing updated tools and new prompt-based editing capabilities that allow users to make or adjust their work by describing what they want to create to […]

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Character.AI’s new Books mode turns reading into roleplay

Mired in controversy and legal woes over concerns about its chatbots’ interactions with users, particularly teens, Character.AI seems to be playing it safer with a new “Books” mode. The new format lets users step inside familiar worlds for a more structured roleplaying experience, one the company hopes will broaden perceptions of what AI roleplay can […]

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Anthropic releases a new Opus model amid Mythos Preview buzz

Anthropic has released its most powerful “generally available” model to date: Claude Opus 4.7. The company called it a step up from Opus 4.6 for advanced software engineering tasks, particularly in complex coding areas that in the past required more hand-holding. It’s also supposed to be better at analyzing images and following instructions, and it […]

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Google AI Launches Gemini 3.1 Flash TTS: A New Benchmark in Expressive and Controllable AI Voice

Google has introduced Gemini 3.1 Flash TTS, a preview text-to-speech model focused on improving speech quality, expressive control, and multilingual generation. Unlike previous iterations that prioritized simple conversion, this release emphasizes natural-language audio tags, native support for more than 70 languages, and native multi-speaker dialogue. This release signals a shift from ‘black-box’ audio generation toward […]

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A Technical Deep Dive into the Essential Stages of Modern Large Language Model Training, Alignment, and Deployment

Training a modern large language model (LLM) is not a single step but a carefully orchestrated pipeline that transforms raw data into a reliable, aligned, and deployable intelligent system. At its core lies pretraining, the foundational phase where models learn general language patterns, reasoning structures, and world knowledge from massive text corpora. This is followed […]

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A Coding Implementation to Build Multi-Agent AI Systems with SmolAgents Using Code Execution, Tool Calling, and Dynamic Orchestration

In this tutorial, we build an advanced, production-ready agentic system using SmolAgents and demonstrate how modern, lightweight AI agents can reason, execute code, dynamically manage tools, and collaborate across multiple agents. We start by installing dependencies and configuring a powerful yet efficient LLM backend, and then progressively design custom tools, including mathematical utilities, memory storage, […]

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How to Build a Universal Long-Term Memory Layer for AI Agents Using Mem0 and OpenAI

In this tutorial, we build a universal long-term memory layer for AI agents using Mem0, OpenAI models, and ChromaDB. We design a system that can extract structured memories from natural conversations, store them semantically, retrieve them intelligently, and integrate them directly into personalized agent responses. We move beyond simple chat history and implement persistent, user-scoped […]

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