Physical Intelligence Team Unveils MEM for Robots: A Multiscale Memory System That Gives Gemma 3-4B VLAs 15-Minute Context for Complex Tasks

Physical Intelligence Team Unveils MEM for Robots: A Multiscale Memory System That Gives Gemma 3-4B VLAs 15-Minute Context for Complex Tasks

Current robotics policies, especially Vision-Language-Action (VLA) models, often work with a single observation or a very short history. This ‘memory deficit’ makes long-horizon tasks, such as cleaning the kitchen or following a complex recipe, impossible to compute or prone to failure. To address this, researchers from Physical Intelligence, Stanford, UC Berkeley, and MIT have presented … Read more

Meet SymTorch: A PyTorch Library That Translates Deep Learning Models into Human-Readable Statistics

Meet SymTorch: A PyTorch Library That Translates Deep Learning Models into Human-Readable Statistics

Could symbolic regression be the key to turning fuzzy deep learning models into interpretive, closed-loop statistics? or Say you trained your deep learning model. It works. But do you know what it actually reads? A team of researchers from the University of Cambridge proposes ‘SymTorch’, a library designed to integrate symbolic reduction (SR) in the … Read more

How to Build a Stable and Efficient QLoRA Tuning Pipeline Using Unsloth for Large Language Models

How to Build a Stable and Efficient QLoRA Tuning Pipeline Using Unsloth for Large Language Models

In this tutorial, we show how to fine-tune a macro language model using Misbehavior and QLoRA. We focus on building a stable, well-maintained pipeline that handles common Colab problems such as GPU detection failures, runtime crashes, and library incompatibilities. By carefully controlling the environment, model configuration, and training loop, we demonstrate how to reliably train … Read more

Google Drops Gemini 3.1 Flash-Lite: A Cost-Effective Powerhouse with Adjustable Memory Levels Designed for High AI Productivity

Google Drops Gemini 3.1 Flash-Lite: A Cost-Effective Powerhouse with Adjustable Memory Levels Designed for High AI Productivity

Google has released it Gemini 3.1 Flash-Litethe most cost-effective entry in the Gemini 3 model series. Designed for ‘intelligence in scale,’ this model is optimized for high-volume operations where low latency and token cost are key engineering constraints. It is currently available in Public Preview with Gemini API (Google AI … Read more

Luvr Image Generator Review: Features and Prices Explained

Luvr Image Generator Review: Features and Prices Explained

Luvr Image Generator serves as an AI-driven image creation platform designed for unlimited artistic expression, offering greater flexibility than most standard services. ⚡️ FAVORITE PICTURE GENERATORS ⚡️ Candy AI Try Candy AI Unfiltered AI imagesReal GirlsNSFW discussion My Dream Companion Try MyDreamCompanion Spicy AI ChattingHigh Quality Image ProductionBuild the Perfect AI Partner Our dream Try … Read more

Alibaba Releases OpenSandbox to Provide Software Developers with a Unified, Secure, and Scalable API for Autonomous AI Agent Execution

Alibaba Releases OpenSandbox to Provide Software Developers with a Unified, Secure, and Scalable API for Autonomous AI Agent Execution

Alibaba is exempt OpenSandboxis an open source tool designed to provide AI agents with a secure, isolated environment for coding, web browsing, and model training. Issued under Apache License 2.0the proposed system aims to standardize the ‘execution layer’ of the AI ​​agent stack, providing a unified API that works across various programming languages ​​and infrastructure … Read more

A Coding Guide to Building Fast End-to-End Computing and Machine Learning Routing on Millions of Rows Using Vaex

A Coding Guide to Building Fast End-to-End Computing and Machine Learning Routing on Millions of Rows Using Vaex

In this tutorial, we design an end-to-end, production-style analysis and modeling pipeline using it Vax efficient for millions of rows without committing data to memory. We generate a real-time, large-scale data set, rich in engineering behavior and city-level characteristics using lazy expressions and approximate statistics, as well as aggregated data at scale. We then combined … Read more

Alibaba recently released Qwen 3.5 mini-models: a family of 0.8B to 9B parameters designed for on-device applications

Alibaba recently released Qwen 3.5 mini-models: a family of 0.8B to 9B parameters designed for on-device applications

Alibaba’s Qwen team released the Qwen3.5 Small Model Seriesa collection of Large Language Models (LLMs) ranging from 0.8B to 9B parameters. While the field’s history has favored increasing the number of parameters to achieve ‘frontier’ performance, this release focuses on ‘More Intelligence, Less Computer.‘ These models represent a shift towards the use of AI capabilities … Read more

Meet NullClaw: A 678 KB Zig AI Framework Running on 1 MB RAM and Booting in Two Milliseconds

Meet NullClaw: A 678 KB Zig AI Framework Running on 1 MB RAM and Booting in Two Milliseconds

In the current AI environment, agent frameworks often rely on high-level managed languages ​​such as Python or Go. Although these ecosystems provide extensive libraries, they introduce significant overhead at runtimes, virtual machines, and garbage collectors. The NullClaw a project that deviates from this trend, using a full AI framework for an AI agent entirely Zig … Read more