Author: Ricardo

Agentic AI AI Shorts

NVIDIA Released DeepStream 9.1: Bringing Agentic AI to Vision AI With 13 Skills and Multi-View 3D Tracking
ByRicardo July 18, 2026July 18, 2026

NVIDIA simply launched DeepStream 9.1. The replace targets a persistent downside in video analytics. Tracking one object throughout many cameras historically requires handbook digicam calibration and sophisticated calculations. DeepStream 9.1 addresses this with two additions: Multi-View 3D Tracking (MV3DT) and AutoMagicCalib (AMC). Both ship as agentic expertise for coding brokers. As a end result, builders…

Read More NVIDIA Released DeepStream 9.1: Bringing Agentic AI to Vision AI With 13 Skills and Multi-View 3D Tracking
Agentic AI AI Agents

Google Cloud’s Always-On Memory Agent Replaces RAG and Embeddings With Continuous LLM Consolidation on Gemini 3.1 Flash-Lite
ByRicardo July 18, 2026July 18, 2026

Most AI brokers neglect. They course of a request, reply it, then drop the context. Google Cloud’s generative-ai repository now ships a sample that tackles this directly. It is the Always-On Memory Agent, a reference implementation that treats reminiscence as a operating course of. Always-On Memory Agent Fundamentally, the mission is a light-weight background agent…

Read More Google Cloud’s Always-On Memory Agent Replaces RAG and Embeddings With Continuous LLM Consolidation on Gemini 3.1 Flash-Lite
Editors Pick Staff

How to Build Plasmid Engineering Workbench with Circular Mapping, Restriction Analysis, Virtual Gels, and Primer Design
ByRicardo July 18, 2026

In this tutorial, we construct a Google Colab-native plasmid workbench that recreates the core concepts of SpliceCraft inside an interactive pocket book surroundings. Instead of counting on a terminal-based TUI, we use Biopython, NumPy, and Matplotlib to load plasmid information, normalize annotated genomic options, render round and linear plasmid maps, compute sequence statistics, analyze restriction…

Read More How to Build Plasmid Engineering Workbench with Circular Mapping, Restriction Analysis, Virtual Gels, and Primer Design
AI Infrastructure AI Paper Summary

Sakana AI’s Error Diffusion Trains Dale-Compliant Dual-Stream Networks, Reaching 96.7% MNIST and 61.7% CIFAR-10 Without Backpropagation
ByRicardo July 18, 2026

Backpropagation dominates deep studying, but it makes use of a mechanism the mind probably can’t. Specifically, the backward cross wants actual transposes of ahead weight matrices. This is the weight transport drawback. Sakana AI’s new paper, Diffusing Blame, confronts this constraint immediately. The analysis staff trains networks that obey Dale’s precept whereas avoiding weight transport…

Read More Sakana AI’s Error Diffusion Trains Dale-Compliant Dual-Stream Networks, Reaching 96.7% MNIST and 61.7% CIFAR-10 Without Backpropagation
Agentic AI AI Agents

Build an Agentic Event Venue Operator with MongoDB Atlas, Voyage, and LangGraph
ByRicardo July 17, 2026July 17, 2026

Introduction This tutorial starts where most agent demos stop: giving the agent persistent memory, operational context, and a place to write back what happened. An occasion operator doesn’t simply want an agent that may summarize a climate report or generate a generic plan. The operator wants an agent that may bear in mind what occurred…

Read More Build an Agentic Event Venue Operator with MongoDB Atlas, Voyage, and LangGraph
AI Shorts Applications

Zyphra Releases ZUNA1.1: An Apache 2.0 EEG Foundation Model With Variable-Length Inputs From 0.5 To 30 Seconds
ByRicardo July 17, 2026

This week, Zyphra launched ZUNA1.1 under the Apache 2.0 license. The EEG basis mannequin reconstructs, denoises, and upsamples information throughout arbitrary channel layouts. It builds on ZUNA1, the Zyphra’s earlier open EEG basis mannequin. The important change is flexibility, not a soar in uncooked accuracy. Real EEG recordings are messy. Sessions range in size, and…

Read More Zyphra Releases ZUNA1.1: An Apache 2.0 EEG Foundation Model With Variable-Length Inputs From 0.5 To 30 Seconds
AI in Action AI Startups & Funding

Bunkerhill raises $55M to scale agentic AI across health systems
ByRicardo July 17, 2026July 17, 2026

Bunkerhill Health has raised $55 million to scale its agentic AI platform, Carebricks. The closing of the corporate’s Series B spherical, introduced right this moment, folds in continued participation from Sequoia Capital, Felicis, Optum Ventures, and Y Combinator. However, a funding whole doesn’t reply the important thing query any hospital govt needs to find out…

Read More Bunkerhill raises $55M to scale agentic AI across health systems
AI Shorts Applications

NVIDIA AI Releases Nemotron 3 Embed: An Open Embedding Collection Whose 8B Checkpoint Ranks #1 on RTEB
ByRicardo July 17, 2026July 17, 2026

Embedding fashions resolve which passages an agent ever sees. NVIDIA launched Nemotron 3 Embed model to work on that layer. It targets production-scale RAG, agentic retrieval, code retrieval, and agent reminiscence. What is Nemotron 3 Embed? The mannequin assortment contains three open checkpoints. Nemotron-3-Embed-8B-BF16 is the accuracy-first possibility. Nemotron-3-Embed-1B-BF16 carries the identical design right into…

Read More NVIDIA AI Releases Nemotron 3 Embed: An Open Embedding Collection Whose 8B Checkpoint Ranks #1 on RTEB
Agentic AI AI Shorts

Moonshot AI Releases Kimi K3: A 2.8 Trillion Parameter Open MoE Model With Kimi Delta Attention and 1M Context
ByRicardo July 17, 2026

Moonshot AI simply launched Kimi K3. It is a 2.8-trillion-parameter mannequin with native imaginative and prescient and a 1-million-token context window. Moonshot calls it the world’s first open 3T-class mannequin. What is Kimi K3? Kimi K3 is a sparse Mixture-of-Experts (MoE) mannequin constructed on two architectural updates. Those are Kimi Delta Attention (KDA) and Attention…

Read More Moonshot AI Releases Kimi K3: A 2.8 Trillion Parameter Open MoE Model With Kimi Delta Attention and 1M Context
Agentic AI AI Shorts

OpenAI Details GPT-Red: An Internal Automated Red-Teaming Model That Beat Human Red-Teamers 84% To 13% On Prompt Injection
ByRicardo July 16, 2026

This week, OpenAI revealed particulars of GPT-Red, an internal-only automated red-teaming mannequin. Its job is to assault OpenAI’s personal fashions and discover immediate injection vulnerabilities. OpenAI offers two causes. Human red-teaming is time-intensive and doesn’t scale. Commonly used robustness evaluations are already saturated by its newest fashions. Meanwhile, the assault floor grows. Agents learn third-party…

Read More OpenAI Details GPT-Red: An Internal Automated Red-Teaming Model That Beat Human Red-Teamers 84% To 13% On Prompt Injection

Author: Ricardo

NVIDIA Released DeepStream 9.1: Bringing Agentic AI to Vision AI With 13 Skills and Multi-View 3D Tracking

Google Cloud’s Always-On Memory Agent Replaces RAG and Embeddings With Continuous LLM Consolidation on Gemini 3.1 Flash-Lite

How to Build Plasmid Engineering Workbench with Circular Mapping, Restriction Analysis, Virtual Gels, and Primer Design

Sakana AI’s Error Diffusion Trains Dale-Compliant Dual-Stream Networks, Reaching 96.7% MNIST and 61.7% CIFAR-10 Without Backpropagation

Build an Agentic Event Venue Operator with MongoDB Atlas, Voyage, and LangGraph

Zyphra Releases ZUNA1.1: An Apache 2.0 EEG Foundation Model With Variable-Length Inputs From 0.5 To 30 Seconds

Bunkerhill raises $55M to scale agentic AI across health systems

NVIDIA AI Releases Nemotron 3 Embed: An Open Embedding Collection Whose 8B Checkpoint Ranks #1 on RTEB

Moonshot AI Releases Kimi K3: A 2.8 Trillion Parameter Open MoE Model With Kimi Delta Attention and 1M Context

OpenAI Details GPT-Red: An Internal Automated Red-Teaming Model That Beat Human Red-Teamers 84% To 13% On Prompt Injection

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