admin – Page 2 – The AI Sector

We Benchmarked DuckDB, SQLite, and Pandas on 1M Rows: Here’s What Happened

Data AnalyticsOctober 13, 20257Views 0Likes 0Comments

Image by Author # Introduction There are numerous tools for processing datasets today. They all claim — of course they do — that they’re the best and the right choice for you. But are they? There are two main requirements these tools should satisfy: they should easily perform everyday data analysis operations and…

Introducing the Gemini 2.5 Computer Use model

OpenAIOctober 13, 20257Views 0Likes 0Comments

Earlier this year, we mentioned that we're bringing computer use capabilities to developers via the Gemini API. Today, we are releasing the Gemini 2.5 Computer Use model, our new specialized model built on Gemini 2.5 Pro’s visual understanding and reasoning capabilities that powers agents capable of interacting with user interfaces (UIs). It outperforms leading alternatives…

How I Actually Use Statistics as a Data Scientist

Data AnalyticsOctober 8, 20256Views 0Likes 0Comments

Image by Ideogram # Introduction When you hear the word data science, you probably think of two words: programming and statistics. In fact, the prerequisite of learning statistics often discourages people from pursuing a career in data. It doesn't help that most data science job descriptions make it seem like you need a…

NVIDIA AI Open-Sources ViPE (Video Pose Engine): A Powerful and Versatile 3D Video Annotation Tool for Spatial AI

AI NewsOctober 8, 20258Views 0Likes 0Comments

How do you create 3D datasets to train AI for Robotics without expensive traditional approaches? A team of researchers from NVIDIA released “ViPE: Video Pose Engine for 3D Geometric Perception” bringing a key improvement for Spatial AI. It addresses the central, agonizing bottleneck that has constrained the field of 3D computer vision for years. ViPE…

Introducing CodeMender: an AI agent for code security

OpenAIOctober 8, 20257Views 0Likes 0Comments

Responsibility & Safety Published 6 October 2025 …

A Gentle Introduction to MCP Servers and Clients

Data AnalyticsOctober 3, 20258Views 0Likes 0Comments

Image by Editor # Introduction Model Context Protocol (MCP) is a standard that defines how artificial intelligence systems connect with the outside world. Instead of each assistant or agent requiring custom code to use a database, file store, or API, MCP gives them a shared way to talk to these resources. At a…

Meta AI Researchers Release MapAnything: An End-to-End Transformer Architecture that Directly Regresses Factored, Metric 3D Scene Geometry

AI NewsOctober 3, 20259Views 0Likes 0Comments

A team of researchers from Meta Reality Labs and Carnegie Mellon University has introduced MapAnything, an end-to-end transformer architecture that directly regresses factored metric 3D scene geometry from images and optional sensor inputs. Released under Apache 2.0 with full training and benchmarking code, MapAnything advances beyond specialist pipelines by supporting over 12 distinct 3D vision…

Discovering new solutions to century-old problems in fluid dynamics

OpenAIOctober 3, 20257Views 0Likes 0Comments

Our new method could help mathematicians leverage AI techniques to tackle long-standing challenges in mathematics, physics and engineering. For centuries, mathematicians have developed complex equations to describe the fundamental physics involved in fluid dynamics. These laws govern everything from the swirling vortex of a hurricane to airflow lifting an airplane’s wing. Experts can carefully craft…

Physical AI: Bridging Robotics, Material Science, and Artificial Intelligence for Next-Gen Embodied Systems

RoboticsOctober 3, 20258Views 0Likes 0Comments

What Do We Mean by “Physical AI”? Artificial intelligence in robotics is not just a matter of clever algorithms. Robots operate in the physical world, and their intelligence emerges from the co-design of body and brain. Physical AI describes this integration, where materials, actuation, sensing, and computation shape how learning policies function. The term was…

Building Machine Learning Application with Django

Data AnalyticsSeptember 28, 202512Views 0Likes 0Comments

Image by Author | ChatGPT Machine learning has powerful applications across various domains, but effectively deploying machine learning models in real-world scenarios often necessitates the use of a web framework. Django, a high-level web framework for Python, is particularly popular for creating scalable and secure web applications. When paired with libraries like scikit-learn,…