Author: Ricardo

AI Shorts Applications

Liquid AI Releases LFM2.5-VL-450M: a 450M-Parameter Vision-Language Model with Bounding Box Prediction, Multilingual Support, and Sub-250ms Edge Inference
ByRicardo April 12, 2026

Liquid AI simply launched LFM2.5-VL-450M, an up to date model of its earlier LFM2-VL-450M vision-language mannequin. The new launch introduces bounding field prediction, improved instruction following, expanded multilingual understanding, and operate calling help — all inside a 450M-parameter footprint designed to run straight on edge {hardware} starting from embedded AI modules like NVIDIA Jetson Orin,…

Read More Liquid AI Releases LFM2.5-VL-450M: a 450M-Parameter Vision-Language Model with Bounding Box Prediction, Multilingual Support, and Sub-250ms Edge Inference
Agentic AI AI Infrastructure

Researchers from MIT, NVIDIA, and Zhejiang University Propose TriAttention: A KV Cache Compression Method That Matches Full Attention at 2.5× Higher Throughput
ByRicardo April 12, 2026April 12, 2026

Long-chain reasoning is without doubt one of the most compute-intensive duties in fashionable massive language fashions. When a mannequin like DeepSeek-R1 or Qwen3 works by way of a posh math drawback, it may generate tens of 1000’s of tokens earlier than arriving at a solution. Every a type of tokens have to be saved in…

Read More Researchers from MIT, NVIDIA, and Zhejiang University Propose TriAttention: A KV Cache Compression Method That Matches Full Attention at 2.5× Higher Throughput
Agentic AI AI Agents

How to Build a Secure Local-First Agent Runtime with OpenClaw Gateway, Skills, and Controlled Tool Execution
ByRicardo April 11, 2026April 11, 2026

In this tutorial, we construct and function a absolutely native, schema-valid OpenClaw runtime. We configure the OpenClaw gateway with strict loopback binding, arrange authenticated mannequin entry via surroundings variables, and outline a safe execution surroundings utilizing the built-in exec instrument. We then create a structured customized talent that the OpenClaw agent can uncover and invoke…

Read More How to Build a Secure Local-First Agent Runtime with OpenClaw Gateway, Skills, and Controlled Tool Execution
AI Infrastructure AI Shorts

How Knowledge Distillation Compresses Ensemble Intelligence into a Single Deployable AI Model
ByRicardo April 11, 2026April 11, 2026

Complex prediction issues typically result in ensembles as a result of combining a number of fashions improves accuracy by decreasing variance and capturing various patterns. However, these ensembles are impractical in manufacturing resulting from latency constraints and operational complexity. Instead of discarding them, Knowledge Distillation gives a smarter strategy: hold the ensemble as a instructor…

Read More How Knowledge Distillation Compresses Ensemble Intelligence into a Single Deployable AI Model
AI Daily News

Washington Is Getting Ready to Slow AI Down. And This Has Nothing to Do with Politics
ByRicardo April 11, 2026

Something unusual is going on in Washington. And no, it isn’t a brand new scandal. Government officers are in a frantic rush to deal with the unknown and unpredictable, not the economic system, however artificially clever pc applications that is perhaps getting a bit too good. If you skim by means of as we speak’s…

Read More Washington Is Getting Ready to Slow AI Down. And This Has Nothing to Do with Politics
AI Infrastructure AI Paper Summary

Alibaba’s Tongyi Lab Releases VimRAG: a Multimodal RAG Framework that Uses a Memory Graph to Navigate Massive Visual Contexts
ByRicardo April 11, 2026

Retrieval-Augmented Generation (RAG) has turn into a customary method for grounding massive language fashions in exterior data — however the second you progress past plain textual content and begin mixing in photos and movies, the entire method begins to buckle. Visual information is token-heavy, semantically sparse relative to a particular question, and grows unwieldy quick…

Read More Alibaba’s Tongyi Lab Releases VimRAG: a Multimodal RAG Framework that Uses a Memory Graph to Navigate Massive Visual Contexts
AI Shorts Applications

A Coding Guide to Markerless 3D Human Kinematics with Pose2Sim, RTMPose, and OpenSim
ByRicardo April 10, 2026April 10, 2026

In this tutorial, we construct and run an entire Pose2Sim pipeline on Colab to perceive how markerless 3D kinematics works in apply. We start with surroundings setup, configure the mission for Colab’s headless runtime, and then stroll via calibration, 2D pose estimation, synchronization, particular person affiliation, triangulation, filtering, marker augmentation, and OpenSim-based kinematics. As we…

Read More A Coding Guide to Markerless 3D Human Kinematics with Pose2Sim, RTMPose, and OpenSim
AI Infrastructure AI Shorts

NVIDIA Releases AITune: An Open-Source Inference Toolkit That Automatically Finds the Fastest Inference Backend for Any PyTorch Model
ByRicardo April 10, 2026

Deploying a deep studying mannequin into manufacturing has at all times concerned a painful hole between the mannequin a researcher trains and the mannequin that really runs effectively at scale. TensorRT exists, Torch-TensorRT exists, TorchAO exists — however wiring them collectively, deciding which backend to make use of for which layer, and validating that the…

Read More NVIDIA Releases AITune: An Open-Source Inference Toolkit That Automatically Finds the Fastest Inference Backend for Any PyTorch Model
AI Infrastructure Artificial Intelligence

Five AI Compute Architectures Every Engineer Should Know: CPUs, GPUs, TPUs, NPUs, and LPUs Compared
ByRicardo April 10, 2026

Modern AI is not powered by a single sort of processor—it runs on a various ecosystem of specialised compute architectures, every making deliberate tradeoffs between flexibility, parallelism, and reminiscence effectivity. While conventional programs relied closely on CPUs, right now’s AI workloads are distributed throughout GPUs for enormous parallel computation, NPUs for environment friendly on-device inference,…

Read More Five AI Compute Architectures Every Engineer Should Know: CPUs, GPUs, TPUs, NPUs, and LPUs Compared
AI Infrastructure AI Shorts

An End-to-End Coding Guide to NVIDIA KVPress for Long-Context LLM Inference, KV Cache Compression, and Memory-Efficient Generation
ByRicardo April 10, 2026

In this tutorial, we take an in depth, sensible strategy to exploring NVIDIA’s KVPress and understanding the way it could make long-context language mannequin inference extra environment friendly. We start by establishing the total surroundings, putting in the required libraries, loading a compact Instruct mannequin, and getting ready a easy workflow that runs in Colab…

Read More An End-to-End Coding Guide to NVIDIA KVPress for Long-Context LLM Inference, KV Cache Compression, and Memory-Efficient Generation

Author: Ricardo

Liquid AI Releases LFM2.5-VL-450M: a 450M-Parameter Vision-Language Model with Bounding Box Prediction, Multilingual Support, and Sub-250ms Edge Inference

Researchers from MIT, NVIDIA, and Zhejiang University Propose TriAttention: A KV Cache Compression Method That Matches Full Attention at 2.5× Higher Throughput

How to Build a Secure Local-First Agent Runtime with OpenClaw Gateway, Skills, and Controlled Tool Execution

How Knowledge Distillation Compresses Ensemble Intelligence into a Single Deployable AI Model

Washington Is Getting Ready to Slow AI Down. And This Has Nothing to Do with Politics

Alibaba’s Tongyi Lab Releases VimRAG: a Multimodal RAG Framework that Uses a Memory Graph to Navigate Massive Visual Contexts

A Coding Guide to Markerless 3D Human Kinematics with Pose2Sim, RTMPose, and OpenSim

NVIDIA Releases AITune: An Open-Source Inference Toolkit That Automatically Finds the Fastest Inference Backend for Any PyTorch Model

Five AI Compute Architectures Every Engineer Should Know: CPUs, GPUs, TPUs, NPUs, and LPUs Compared

An End-to-End Coding Guide to NVIDIA KVPress for Long-Context LLM Inference, KV Cache Compression, and Memory-Efficient Generation

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