Tech

Table of Links Abstract and 1 Introduction Related Works 2.1. Vision-and-Language Navigation 2.2. Semantic Scene Understanding and Instance Segmentation 2.3. 3D Scene Reconstruction Methodology 3.1. Data Collection 3.2. Open-set Semantic Information from Images 3.3. Creating the Open-set 3D Representation 3.4. Language-Guided Navigation Experiments 4.1. Quantitative Evaluation 4.2. Qualitative Results Conclusion and Future Work, Disclosure statement, … Read more

Table of Links Abstract and 1 Introduction Related Works 2.1. Vision-and-Language Navigation 2.2. Semantic Scene Understanding and Instance Segmentation 2.3. 3D Scene Reconstruction Methodology 3.1. Data Collection 3.2. Open-set Semantic Information from Images 3.3. Creating the Open-set 3D Representation 3.4. Language-Guided Navigation Experiments 4.1. Quantitative Evaluation 4.2. Qualitative Results Conclusion and Future Work, Disclosure statement, … Read more

Can autonomous systems execute trading strategies better than humans? This question sits at the core of PriveX’s newly launched AI Agents Arena, where trading intelligence no longer requires constant human oversight. The platform transforms algorithmic trading from a domain reserved for institutional players and experienced programmers into an accessible system where anyone can deploy autonomous … Read more

Table of Links Abstract and 1 Introduction Related Works 2.1. Vision-and-Language Navigation 2.2. Semantic Scene Understanding and Instance Segmentation 2.3. 3D Scene Reconstruction Methodology 3.1. Data Collection 3.2. Open-set Semantic Information from Images 3.3. Creating the Open-set 3D Representation 3.4. Language-Guided Navigation Experiments 4.1. Quantitative Evaluation 4.2. Qualitative Results Conclusion and Future Work, Disclosure statement, … Read more

Table of Links Abstract and 1 Introduction Related Works 2.1. Vision-and-Language Navigation 2.2. Semantic Scene Understanding and Instance Segmentation 2.3. 3D Scene Reconstruction Methodology 3.1. Data Collection 3.2. Open-set Semantic Information from Images 3.3. Creating the Open-set 3D Representation 3.4. Language-Guided Navigation Experiments 4.1. Quantitative Evaluation 4.2. Qualitative Results Conclusion and Future Work, Disclosure statement, … Read more

Retail is entering a new phase in 2026: AI is no longer an experiment — it’s the operating system for commerce. The most important shift I’m seeing is a move away from broad platforms toward focused AI solutions that drive measurable growth in pricing, personalization, and inventory management. As someone who has spent over two … Read more

A ballot in electronic form was cast amid the mountain of unutilized data somewhere behind the beige walls and bureaucracy of all government agencies today. It is not just a citizen-created spreadsheet here or there, but a whole, useful, system-wide body of citizen-generated data. Already, governments were storing data, including census information, infrastructure information, population … Read more

UEBA (User Entity Behavior Analysis) is a security layer that uses machine learning and analytics to detect threats by analyzing patterns in user and entity behavior. Here’s an oversimplified example of UEBA: suppose you live in Chicago. You’ve lived there for several years and rarely travel. But suddenly there’s a charge to your credit card … Read more