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

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

In this tutorial, we build a long-term memory layer for AI users to use Mem0OpenAI models, and ChromaDB. We are building a system that can extract structured memories from natural conversations, store them mathematically, retrieve them intelligently, and integrate them directly into the responses of a personal agent. We go beyond simple chat history and … Read more

Google AI Launches Gemini 3.1 Flash TTS: A New Benchmark for Predictable and Controllable AI Speech

Google AI Launches Gemini 3.1 Flash TTS: A New Benchmark for Predictable and Controllable AI Speech

Google has launched Gemini 3.1 Flash TTSA text-to-speech preview model that focuses on improving speech quality, expressive control, and multilingualism. Unlike previous iterations that prioritized easy conversion, this release emphasizes natural language audio tags, native support for more than 70 languages, and native multi-speaker chat. This release marks the transition from ‘black box’ audio generation … Read more

Google DeepMind Releases Gemini Robotics-ER 1.6: Brings Advanced Thinking and Machine Learning to Physical AI

Google DeepMind Releases Gemini Robotics-ER 1.6: Brings Advanced Thinking and Machine Learning to Physical AI

Google DeepMind’s research team has unveiled Gemini Robotics-ER 1.6, a significant development in its integrated thinking model designed to act as the ‘cognitive brain’ of robots operating in real-world environments. The model focuses on the critical thinking capabilities of robots, including visual and spatial perception, task planning, and success detection – serving as a high-level … Read more

Google Introduces ‘Skills’ to Chrome: Transforming Reusable AI Notifications into One-Click Browser Workflows

Google Introduces ‘Skills’ to Chrome: Transforming Reusable AI Notifications into One-Click Browser Workflows

Google recently announced the release of the Skills in Chromea new feature built into Gemini in Chrome that allows users to save frequently used AI information as reusable, one-click workflows called Skills. The first release on April 14, 2026, is aimed at Mac, Windows, and ChromeOS users who have their Chrome language set to English-US. … Read more

The Netflix AI Team Just Open Sourced VOID: An AI Model That Erases Objects From Videos – Physics and Everything

The Netflix AI Team Just Open Sourced VOID: An AI Model That Erases Objects From Videos – Physics and Everything

Video editing has always had a dirty secret: removing an object from images is easy; making the scene look like it never happened is brutally difficult. Take out the man with the guitar, and you’re left with a floating instrument that defies gravity. Hollywood VFX teams spend weeks fixing this type of problem. A team … Read more

How to Build Production-Ready Production Systems with Z.AI GLM-5 Using Think Mode, Tooling, Streaming, and Flexible Workflows

How to Build Production-Ready Production Systems with Z.AI GLM-5 Using Think Mode, Tooling, Streaming, and Flexible Workflows

print(“n” + “=” * 70) print(“🤖 SECTION 8: Multi-Tool Agentic Loop”) print(“=” * 70) print(“Build a complete agent that can use multiple tools across turns.n”) class GLM5Agent: def __init__(self, system_prompt: str, tools: list, tool_registry: dict): self.client = ZaiClient(api_key=API_KEY) self.messages = [{“role”: “system”, “content”: system_prompt}] self.tools = tools self.registry = tool_registry self.max_iterations = 5 def chat(self, … Read more

TII Releases Falcon Perception: A 0.6B-Parameter Early-Fusion Transformer for Open-Vocabulary Grounding and Segmentation from Natural Language Prompts

TII Releases Falcon Perception: A 0.6B-Parameter Early-Fusion Transformer for Open-Vocabulary Grounding and Segmentation from Natural Language Prompts

In the current state of computer vision, a common operating procedure involves a modular ‘Lego brick’ approach: a vision encoder pre-trained for feature extraction paired with a separate decoder for task prediction. Although effective, this separation of structures makes it difficult to measure and hinders the interaction between language and vision. I Technology Innovation Institute … Read more

A Step-by-Step Guide to Building an End-to-End Model Optimization Pipeline with NVIDIA Model Optimizer Using FastNAS Pruning and Fine Tuning

A Step-by-Step Guide to Building an End-to-End Model Optimization Pipeline with NVIDIA Model Optimizer Using FastNAS Pruning and Fine Tuning

In this tutorial, we build a complete end-to-end pipeline using NVIDIA Model Optimizer train, prune, and fine-tune a deep learning model directly in Google Colab. We start by setting up the environment and prepare the CIFAR-10 dataset, then define the ResNet architecture and train it to establish a solid foundation. From there, we use FastNAS … Read more

Arcee AI Unveils Big Trinity Thinking: An Open Apache 2.0 Model for Long-Horizon Agent Intelligence and Tooling

Arcee AI Unveils Big Trinity Thinking: An Open Apache 2.0 Model for Long-Horizon Agent Intelligence and Tooling

The landscape of open source artificial intelligence has shifted from generative models to systems capable of complex, multi-step reasoning. Although ‘consultative’ ownership models dominate the discussion, Arce AI he has released The Trinity is a Great Thought. This release is an open-weighted logic model distributed under the Apache License 2.0setting it up as an obvious … Read more