Author name: aifuturethinkers.com

Segment Anything Model 3 (SAM3) sent a shockwave through the computer vision community. Social media feeds were rightfully flooded with praise for its performance. SAM3 isn’t just an incremental update; it introduces Promptable Concept Segmentation (PCS), a vision language architecture that allows users to segment objects using natural language prompts. From its 3D capabilities (SAM3D) …

SAM 3 vs. Specialist Models — A Performance Benchmark Read More »

Image by Author   # Introduction  Python is the default language of data science for good reasons. It has a mature ecosystem, a low barrier to entry, and libraries that let you move from idea to result very quickly. NumPy, pandas, scikit-learn, PyTorch, and Jupyter Notebook form a workflow that is hard to beat for exploration, …

Integrating Rust and Python for Data Science Read More »

Introducing D4RT, a unified AI model for 4D scene reconstruction and tracking across space and time. Anytime we look at the world, we perform an extraordinary feat of memory and prediction. We see and understand things as they are at a given moment in time, as they were a moment ago, and how they are …

D4RT: Unified, Fast 4D Scene Reconstruction & Tracking Read More »

generate customer journeys that appear smooth and engaging, but evaluating whether these journeys are structurally sound remains challenging for current methods. This article introduces Continuity, Deepening, and Progression (CDP) — three deterministic, content-structure-based metrics for evaluating multi-step journeys using a predefined taxonomy rather than stylistic judgment. Traditionally, optimizing customer-engagement systems has involved fine-tuning delivery mechanics such as …

Evaluating Multi-Step LLM-Generated Content: Why Customer Journeys Require Structural Metrics Read More »

Image by Author   # Introduction  It’s easy to get caught up in the technical side of data science like perfecting your SQL and pandas skills, learning machine learning frameworks, and mastering libraries like Scikit-Learn. Those skills are valuable, but they only get you so far. Without a strong grasp of the statistics behind your work, …

7 Statistical Concepts Every Data Scientist Should Master (and Why) Read More »

Through cutting-edge research, a growing bench of world-class talent, and deepening work with government, we’ll accelerate real-world benefits and applications of AI The Asia-Pacific region is home to more than half the world’s population and is poised for immense growth. The Singapore government’s ambitious and forward-looking approach — exemplified by their National AI Strategy 2.0 …

Google DeepMind opens Singapore research lab for Asia-Pacific AI. Read More »

In the Author Spotlight series, TDS Editors chat with members of our community about their career path in data science and AI, their writing, and their sources of inspiration. Today, we’re thrilled to share our conversation with Marco Hening Tallarico. Marco is a graduate student at the University of Toronto and a researcher for Risklab, …

Bridging the Gap Between Research and Readability with Marco Hening Tallarico Read More »

Image by Author   # Introduction  Docker has simplified how we build and deploy applications. But when you are getting started learning Docker, the terminology can often be confusing. You will likely hear terms like “images,” “containers,” and “volumes” without really understanding how they fit together. This article will help you understand the core Docker concepts …

10 Essential Docker Concepts Explained in Under 10 Minutes Read More »

Google Antigravity To advance how the model and IDE work together, we’re introducing Google Antigravity to showcase what’s possible with Gemini 3. It’s an agentic development platform that enables developers to operate at a higher, task-oriented level by managing agents across workspaces, while retaining a familiar AI IDE experience at its core. It’s a faster …

Gemini 3 for developers: New reasoning, agentic capabilities Read More »

different coding setups people use for programming. In this article, I’ll take you through my personal coding setup and the tools and applications that I use to achieve maximum efficiency when programming. This is a setup that I’ve created through extensive testing and experimenting myself through trial and error. While testing, I’ve attempted to use …

Maximum-Effiency Coding Setup | Towards Data Science Read More »