Improving AI Accuracy and Interpretability with ICE-T

:::info Authors: (1) Goran Muric, InferLink Corporation, Los Angeles, (California gmuric@inferlink.com); (2) Ben Delay, InferLink Corporation, Los Angeles, California (bdelay@inferlink.com); (3) Steven Minton, InferLink Corporation, Los Angeles, California (sminton@inferlink.com). ::: Table of Links Abstract and 1 Introduction 1.1 Motivation 2 Related Work and 2.1 Prompting techniques 2.2 In-context learning 2.3 Model interpretability 3 Method 3.1 … Read more

How to Train a Linear Regression Model in TensorFlow

Content Overview Setup Solving machine learning problems Data Define the model Define a loss function Define a training loop The same solution, but with Keras Next steps In the previous guides, you have learned about tensors, variables, gradient tape, and modules. In this guide, you will fit these all together to train models. TensorFlow also includes the tf.Keras API, a … Read more

Few-Shot Learning in Remote Sensing: Trends, Gaps, and Future Directions

Table of Links Abstract and Introduction Backgrounds Type of remote sensing sensor data Benchmark remote sensing datasets for evaluating learning models Evaluation metrics for few-shot remote sensing Recent few-shot learning techniques in remote sensing Few-shot based object detection and segmentation in remote sensing Discussions Numerical experimentation of few-shot classification on UAV-based dataset Explainable AI (XAI) … Read more

Smarter Satellite Vision with Few-Shot Learning

Table of Links Abstract and Introduction Backgrounds Type of remote sensing sensor data Benchmark remote sensing datasets for evaluating learning models Evaluation metrics for few-shot remote sensing Recent few-shot learning techniques in remote sensing Few-shot based object detection and segmentation in remote sensing Discussions Numerical experimentation of few-shot classification on UAV-based dataset Explainable AI (XAI) … Read more

MongoDB 8.0 Upgrade Guide: What You Need to Know Before Upgrading

Have you ever wondered why updates and upgrades are so essential for any system? Well, it’s no secret: They ensure that systems remain relevant and efficient. With MongoDB, it’s no different. Whenever we think about updating, we seek efficiency, security, performance, and other benefits that come with updated systems. However, every update introduces changes that … Read more

How to Define, Save, and Restore Models in TensorFlow

Content overview Setup TensorFlow Modules Building Modules Waiting to create variables Saving weights Saving functions Creating a SavedModel To do machine learning in TensorFlow, you are likely to need to define, save, and restore a model. A model is, abstractly: A function that computes something on tensors (a forward pass) Some variables that can be updated … Read more

6 Breakthrough Few-Shot Learning Techniques for Remote Sensing

Table of Links Abstract and Introduction Backgrounds Type of remote sensing sensor data Benchmark remote sensing datasets for evaluating learning models Evaluation metrics for few-shot remote sensing Recent few-shot learning techniques in remote sensing Few-shot based object detection and segmentation in remote sensing Discussions Numerical experimentation of few-shot classification on UAV-based dataset Explainable AI (XAI) … Read more

Mastering MCP Server Management with ToolHive

In this blog, we’re delving into ToolHive, a small tool that makes managing and deploying MCP servers remarkably simple and safe. ToolHive transforms your development process by integrating container security and configuration automation, regardless of whether you’re using Cursor, GitHub Copilot, or other tools. Let’s install and run it on a brand-new Ubuntu virtual machine. … Read more

The Circle – A TV Critic’s Review And Descent Into Netflix Hell

I’ve been reviewing television for over fifteen years. I’ve sat through countless hours of reality show garbage, endured more seasons of dating competitions than any human should, and somehow managed to find redeeming qualities in shows that probably shouldn’t exist. But nothing—and I mean nothing—prepared me for the soul-crushing experience that is Netflix’s “The Circle.” … Read more

Master Starburst Monitoring with Grafana and Trino Plugin

Starburst is a powerful distributed SQL engine that allows teams to query data across multiple sources. However, when it comes to monitoring Starburst clusters, there are some limitations: The Starburst web UI gives basic cluster health The Starburst API exposes some system metrics But full metrics (CPU, JVM, memory, total queries, slow queries, etc.) require … Read more

Are We Doomed? The Current State of Web3

Help! Another trend is seeping into the Web3 ecosystem—favoring mindshare over market share. Last week, I was irked to see various accounts farming impressions for a project on X. Some large accounts had been paid, while smaller ones were chasing airdrops. It was an eyesore. Forgive me, but I absolutely detest airdrops—mainly because they offer … Read more

Session vs JWT vs OAuth2: The Complete Authentication Strategy

Introduction Web application security depends on authentication as its fundamental element. The selection of appropriate authentication mechanisms in modern distributed and hybrid environments requires more than technical expertise because it represents a strategic decision. Whether you’re building an enterprise-grade application, a single-page web app (SPA), or a mobile-first SaaS platform, the decision between session-based authentication, … Read more

The Future of Frontend in 2025: Server-First, AI-Powered, and Closer to the Metal

Let’s be real: frontend has changed. A lot. It’s not just HTML and buttons anymore. In 2025, being a frontend developer means thinking like an architect, rendering content at the edge, writing smart CSS, and pairing with AI tools that generate code before you’ve finished your coffee. If you haven’t checked in with the frontend … Read more

Large Language Models: Inference Process and KV-Cache Structure

Table of Links Abstract and 1 Introduction 2 Background 2.1 Large Language Models 2.2 Fragmentation and PagedAttention 3 Issues with the PagedAttention Model and 3.1 Requires re-writing the attention kernel 3.2 Adds redundancy in the serving framework and 3.3 Performance Overhead 4 Insights into LLM Serving Systems 5 vAttention: System Design and 5.1 Design Overview … Read more

vAttention: Contiguous KV-Cache for Faster, Simpler LLM Inference

Table of Links Abstract and 1 Introduction 2 Background 2.1 Large Language Models 2.2 Fragmentation and PagedAttention 3 Issues with the PagedAttention Model and 3.1 Requires re-writing the attention kernel 3.2 Adds redundancy in the serving framework and 3.3 Performance Overhead 4 Insights into LLM Serving Systems 5 vAttention: System Design and 5.1 Design Overview … Read more

LLM Training Hyperparameters: Detailed Overview

Table of Links Abstract and 1. Introduction 2. Method 3. Experiments on real data 3.1. Benefits scale with model size and 3.2. Faster inference 3.3. Learning global patterns with multi-byte prediction and 3.4. Searching for the optimal n 3.5. Training for multiple epochs and 3.6. Finetuning multi-token predictors 3.7. Multi-token prediction on natural language 4. … Read more

Why Learning a New Programming Language as an Experienced Developer Feels Harder Than Starting From Scratch

When people talk about learning programming, they often assume that experienced developers will pick up new languages faster than beginners. On the surface, that makes sense: if you’ve already written code for years, how hard can it be to pick up another language? But here’s the twist — sometimes, it’s actually harder for experienced developers … Read more

Why Legacy Code Still Runs the World

As the world of software development continues to evolve, much of the conversation revolves around the latest technologies: AI-assisted coding, cloud-native refactors, and the ever-growing microservice movement. But despite the hype surrounding shiny new tools and paradigms, a quiet, powerful truth continues to shape the landscape of modern software: most of the world still runs … Read more

This Lightweight Tool Flags Breaking Changes Before You Ship

In modern Go projects, it’s too easy for accidental API changes or subtle documentation edits to sneak through pull requests or release processes unnoticed. relimpact is a lightweight CLI tool that helps you understand what really changed between two Git refs — with clean, structured, human-friendly reports. Use it in CI pipelines, release PRs, or locally before tagging … Read more

Impact of Artificial Intelligence on Network Routers and Switches

Disclaimer: Readers should not infer that Google is using or planning to use any of these technologies in its products or services. Introduction The ever-increasing demand for data-driven applications and services has placed pressure on networking infrastructures. As the primary source for data flow, network routers and switches play an important role in ensuring seamless … Read more