Logistic vs SVM vs Random Forest: Which One Wins for Small Datasets?
When you have a small dataset, choosing the right machine learning model can make a big difference.
Artificial Intelligence
Explore the rapidly evolving world of artificial intelligence, machine learning, and automation. From AI ethics to real-world applications, this category delivers insights that matter for today and tomorrow.
5 Scikit-learn Pipeline Tricks to Supercharge Your Workflow
Perhaps one of the most underrated yet powerful features that scikit-learn has to offer, pipelines are a great ally for building effective and modular machine learning workflows.
Developers lose focus 1,200 times a day — how MCP could change that
One of the most impactful applications of MCP is its ability to connect AI coding assistants directly to developer tools.Read More
Busted by the em dash — AI’s favorite punctuation mark, and how it’s blowing your cover
AI is brilliant at polishing and rephrasing. But like a child with glitter glue, you still need to supervise it.Read More
OpenCUA’s open source computer-use agents rival proprietary models from OpenAI and Anthropic
The open source framework provides the data and training recipe for building powerful computer-use agents that challenge proprietary systems.Read More
Meta is partnering with Midjourney and will license its technology for ‘future models and products’
Details are scarce on how much if any money is involved. And what does it mean for Midjourney’s previously announced plans for an enterprise API?Read More
MCP-Universe benchmark shows GPT-5 fails more than half of real-world orchestration tasks
A new benchmark from Salesforce research evaluates model and agentic performance on real-life enterprise tasks.Read More
Meet the researcher hosting a scientific conference by and for AI
In October, a new academic conference will debut that’s unlike any other. Agents4Science is a one-day online event that will encompass all areas of science, from physics to medicine. All of the work shared will have been researched, written, and…
In a first, Google has released data on how much energy an AI prompt uses
Google has just released a technical report detailing how much energy its Gemini apps use for each query. In total, the median prompt—one that falls in the middle of the range of energy demand—consumes 0.24 watt-hours of electricity, the equivalent…
Seeing Images Through the Eyes of Decision Trees
In this article, you’ll learn to: • Turn unstructured, raw image data into structured, informative features.