Semantic One

Semantic keyword considerations are crucial to providing quality search experiences, but wait, there’s more. They’re needed for Google search success.

Semantic Keywords: What Are They and Why Are They So Useful?

What happens when you put decentralized operating systems, brain-computer interfaces, and the real purpose of the metaverse together?

The Future of the Metaverse: Where Do We Go From Here?

Build a Steam game retriever with Superlinked and LlamaIndex. Use the official SuperlinkedRetriever to add fast, accurate RAG search to your app.

Speedrun Your RAG: Build an AI Recommender for your Steam Library

Semantic Kernel is an open source SDK from Microsoft that helps developers create AI applications including chatbots, RAGs, Copilots & agents.

100 Days of AI, Day 8: Experimenting With Microsoft's Semantic Kernel Using GPT-4

Web3 is the next stage of the internet, building on the past two iterations and addressing its current flaws and adding new features for users to make use of.

The Ultimate Guide to Web 3.0 - The History and Future of the Web

I was given a task to replicate the newsweek website and I thought that would be a walk in the park until I started working on the project. My focus will be on the red/orange background of the header used on that website, as shown on the image above and how I was able to come up with the design using the clip-path property in CSS3. 

How to Use Clip-Path CSS Property 

A real-world Power BI Fabric incident: How XMLA reads from paginated reports caused a 350% compute spike and how a lean model solved it.

When 300 Stores Printed at Once: Debugging a 350% Compute Spike in Power BI Fabric

Explore the top JavaScript UI components and their notable features for your applications in this review of leading options.

The Top JavaScript UI Components

This article explores the temporal dynamics of linguistic polarization with a focus on specific keywords and semantic shifts. 

Temporal Dynamics in Linguistic Polarization

In this story, we will explain the true potential of blockchain and why it's a lot more interesting to use this technology outside of cryptocurrency.

#ForTheLastTime Blockchain is More Than Just Crypto

Weaviate is an open-source search engine with a build-in NLP model called the Contextionary. What makes Weaviate unique, is that it stores data in a vector space rather than a traditional row-column or graph structure, allowing you to search through data based on its meaning rather than keywords alone. 

The History of the Weaviate Vector Search Engine

My first attempt on learning HTML was by myself, through The Odin Project. It was really nice! Great readings, helpful tutorials, and fun projects. My first website was a clone from Google’s homepage, and I got very excited. After about two months of learning front-end languages, I rebuilt this first project and thought that I was already an HTML expert. I couldn’t be more wrong!

Six tips to set up a better HTML document

Yes, building AI is hard! Every step from data annotation, training and deployment comes with its own set of challenges. This blog post will try to deal with the first two of those:

Multi-GPU training with Brain Builder and TensorFlow

Supervisely helps companies, researchers, engineers, students, and many others make and prepare training data for various number of computer vision tasks from pedestrian detection to tumors segmentation. We’re excited to see more than 2000 people are using Supervisely. A big thank you to everyone helping out improving it!

🎉  Supervisely v2.0: supercharge your training data pipeline with Deep Learning

Deep learning meets forestry: TreeLearn improves tree segmentation accuracy across diverse forest types using multi-domain training.

AI Just Got Better at Counting Trees

Discover how SEAMLESSEXPRESSIVELM revolutionizes speech-to-speech translation by preserving both semantics and speaker vocal style.

SEAMLESSEXPRESSIVELM Transforms Speech Translation by Preserving Semantics and Speaker Vocal Style

What is a universal semantic layer, and how is it different from a semantic layer? Is there actual semantics involved? Who uses that, how, and what for?

The Power of Universal Semantic Layers: Insights from Cube Co-founder Artyom Keydunov

Adopting AI in our data analytic solution is a bumpy journey, but phew, it now works well for us.

LLM-Powered OLAP: the Tencent Experience with Apache Doris 

We are proud to release “Supervisely Country Roads” dataset, share our research as tutorial on how to build semantic segmentation model for drivable area and provide <a href="https://github.com/supervisely/supervisely/tree/master/tutorials/02_unet_inference" target="_blank">source codes</a>, so you will understand how to build, download and use custom models with <a href="https://supervise.ly/" target="_blank">Supervisely</a>. So you also can reproduce all steps below easily.

🚘 Traveling the ML. Next hop: step by step guide to recognize drivable area

Myriad efforts have been made over the last 10 years in algorithmic improvements and dataset creation for semantic segmentation tasks. Of late, there have been rapid gains in this field, a subset of visual scene understanding, due mainly to contributions by deep learning methodologies. But deep <a href="https://hackernoon.com/tagged/learning" target="_blank">learning</a> techniques have an Achilles’ heel of consuming vast amounts of annotated data. Here we review some widely used and open, urban semantic segmentation datasets for Self Driving Car applications.

Semantic Segmentation Datasets for Autonomous Driving

💊Deep Learning in medicine: advancing medical image analysis with Supervisely

The KBQA task aims to make large knowledge bases accessible by natural language. 

What Is KBQA and What Are Its Benchmarks?

The Flutter charting library Graphic has a well-designed interaction system for various interactive charts.

A Guide to Building Interactive Charts in Flutter

Since the dawn of the Internet Era, we have been flooded with an ocean of information. But without a good search engine, this ocean is useless.

SearchPedia: A List of 250+ Search Engines

Semantic Oneis in the Speech and Voice Recognition Industry

SEMANTIC ONE

semantic-one.de

Since 2021

Semantic One's stories on HackerNoon

Semantic Keywords: What Are They and Why Are They So Useful?

The Future of the Metaverse: Where Do We Go From Here?

Speedrun Your RAG: Build an AI Recommender for your Steam Library

100 Days of AI, Day 8: Experimenting With Microsoft's Semantic Kernel Using GPT-4

The Ultimate Guide to Web 3.0 - The History and Future of the Web

How to Use Clip-Path CSS Property

When 300 Stores Printed at Once: Debugging a 350% Compute Spike in Power BI Fabric

The Top JavaScript UI Components

Temporal Dynamics in Linguistic Polarization

#ForTheLastTime Blockchain is More Than Just Crypto

The History of the Weaviate Vector Search Engine

Six tips to set up a better HTML document

Multi-GPU training with Brain Builder and TensorFlow

🎉 Supervisely v2.0: supercharge your training data pipeline with Deep Learning

AI Just Got Better at Counting Trees

SEAMLESSEXPRESSIVELM Transforms Speech Translation by Preserving Semantics and Speaker Vocal Style

The Power of Universal Semantic Layers: Insights from Cube Co-founder Artyom Keydunov

LLM-Powered OLAP: the Tencent Experience with Apache Doris

🚘 Traveling the ML. Next hop: step by step guide to recognize drivable area

Semantic Segmentation Datasets for Autonomous Driving

💊Deep Learning in medicine: advancing medical image analysis with Supervisely

What Is KBQA and What Are Its Benchmarks?

A Guide to Building Interactive Charts in Flutter

SearchPedia: A List of 250+ Search Engines

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