March 2026

How to Build Interactive Geospatial Dashboards Using Folium with Heatmaps, Choropleths, Time Animation, Marker Clustering, and Advanced Interactive Plugins

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In this Folium tutorial, we build a complete set of interactive maps that run in Colab or any local Python setup. We explore multiple basemap styles, design rich markers with HTML popups, and visualize spatial density using heatmaps. We also create region-level choropleth maps from GeoJSON, scale to thousands of points using marker clustering, and animate time-based movement with a timestamped layer. Finally, we combine real-world USGS earthquake data with layered magnitude buckets, density heatmaps, legends, and fullscreen […]

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A Coding Implementation to Build a Hierarchical Planner AI Agent Using Open-Source LLMs with Tool Execution and Structured Multi-Agent Reasoning

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In this tutorial, we build a hierarchical planner agent using an open-source instruct model. We design a structured multi-agent architecture comprising a planner agent, an executor agent, and an aggregator agent, where each component plays a specialized role in solving complex tasks. We use the planner agent to decompose high-level goals into actionable steps, the executor agent to execute those steps using reasoning or Python tool execution, and the aggregator agent to synthesize results into a coherent final […]

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Google DeepMind Introduces Unified Latents (UL): A Machine Learning Framework that Jointly Regularizes Latents Using a Diffusion Prior and Decoder

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Generative AI’s current trajectory relies heavily on Latent Diffusion Models (LDMs) to manage the computational cost of high-resolution synthesis. By compressing data into a lower-dimensional latent space, models can scale effectively. However, a fundamental trade-off persists: lower information density makes latents easier to learn but sacrifices reconstruction quality, while higher density enables near-perfect reconstruction but demands greater modeling capacity. Google DeepMind researchers have introduced Unified Latents (UL), a framework designed to navigate this trade-off systematically. The framework jointly […]

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3 Questions: How AI could optimize the power grid

3 Questions: How AI could optimize the power grid

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Artificial intelligence has captured headlines recently for its rapidly growing energy demands, and particularly the surging electricity usage of data centers that enable the training and deployment of the latest generative AI models. But it’s not all bad news — some AI tools have the potential to reduce some forms of energy consumption and enable cleaner grids. One of the most promising applications is using AI to optimize the power grid, which would improve efficiency, increase resilience to extreme weather, […]

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Generative AI tool helps 3D print personal items that sustain daily use

Generative AI tool helps 3D print personal items that sustain daily use

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Generative artificial intelligence models have left such an indelible impact on digital content creation that it’s getting harder to recall what the internet was like before it. You can call on these AI tools for clever projects such as videos and photos — but their flair for the creative hasn’t quite crossed over into the physical world just yet. So why haven’t we seen generative AI-enabled personalized objects, such as phone cases and pots, in places like homes, […]

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How generative AI can help scientists synthesize complex materials

How generative AI can help scientists synthesize complex materials

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Generative artificial intelligence models have been used to create enormous libraries of theoretical materials that could help solve all kinds of problems. Now, scientists just have to figure out how to make them. In many cases, materials synthesis is not as simple as following a recipe in the kitchen. Factors like the temperature and length of processing can yield huge changes in a material’s properties that make or break its performance. That has limited researchers’ ability to test […]

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Study: Platforms that rank the latest LLMs can be unreliable

Study: Platforms that rank the latest LLMs can be unreliable

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A firm that wants to use a large language model (LLM) to summarize sales reports or triage customer inquiries can choose between hundreds of unique LLMs with dozens of model variations, each with slightly different performance. To narrow down the choice, companies often rely on LLM ranking platforms, which gather user feedback on model interactions to rank the latest LLMs based on how they perform on certain tasks. But MIT researchers found that a handful of user interactions […]

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Accelerating science with AI and simulations

Accelerating science with AI and simulations

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For more than a decade, MIT Associate Professor Rafael Gómez-Bombarelli has used artificial intelligence to create new materials. As the technology has expanded, so have his ambitions. Now, the newly tenured professor in materials science and engineering believes AI is poised to transform science in ways never before possible. His work at MIT and beyond is devoted to accelerating that future. “We’re at a second inflection point,” Gómez-Bombarelli says. “The first one was around 2015 with the first wave […]

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Personalization features can make LLMs more agreeable

Personalization features can make LLMs more agreeable

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Many of the latest large language models (LLMs) are designed to remember details from past conversations or store user profiles, enabling these models to personalize responses. But researchers from MIT and Penn State University found that, over long conversations, such personalization features often increase the likelihood an LLM will become overly agreeable or begin mirroring the individual’s point of view. This phenomenon, known as sycophancy, can prevent a model from telling a user they are wrong, eroding the […]

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Parking-aware navigation system could prevent frustration and emissions

Parking-aware navigation system could prevent frustration and emissions

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It happens every day — a motorist heading across town checks a navigation app to see how long the trip will take, but they find no parking spots available when they reach their destination. By the time they finally park and walk to their destination, they’re significantly later than they expected to be. Most popular navigation systems send drivers to a location without considering the extra time that could be needed to find parking. This causes more than […]

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