Artificial Intelligence (AI)
Artistly Review: This AI Design Tool Replaces Designers
In this Artistly review, I’ll discuss the pros and cons, what it is, who it’s best for, and its key features. Then, I’ll show you how I used Artistly to generate a realistic image of an astronaut riding a horse on Mars: I’ll finish the article by comparing Artistly with my top three alternatives (GetIMG,…
Have a damaged painting? Restore it in just hours with an AI-generated “mask”
Art restoration takes steady hands and a discerning eye. For centuries, conservators have restored paintings by identifying areas needing repair, then mixing an exact shade to fill in one area at a time. Often, a painting can have thousands of tiny regions requiring individual attention. Restoring a single painting can take anywhere from a few…
ether0: A 24B LLM Trained with Reinforcement Learning RL for Advanced Chemical Reasoning Tasks
LLMs primarily enhance accuracy through scaling pre-training data and computing resources. However, the attention has shifted towards alternate scaling due to finite data availability. This includes test-time training and inference compute scaling. Reasoning models enhance performance by emitting thought processes before answers, initially through CoT prompting. Recently, reinforcement learning (RL) post-training has been used. Scientific…
ChatGPT’s Memory Limit Is Frustrating — The Brain Shows a Better Way
If you’re a ChatGPT power user, you may have recently encountered the dreaded “Memory is full” screen. This message appears when you hit the limit of ChatGPT’s saved memories, and it can be a significant hurdle during long-term projects. Memory is supposed to be a key feature for complex, ongoing tasks – you want your…
3 Questions: How to help students recognize potential bias in their AI datasets
Every year, thousands of students take courses that teach them how to deploy artificial intelligence models that can help doctors diagnose disease and determine appropriate treatments. However, many of these courses omit a key element: training students to detect flaws in the training data used to develop the models. Leo Anthony Celi, a senior research…
How to Build an Asynchronous AI Agent Network Using Gemini for Research, Analysis, and Validation Tasks
In this tutorial, we introduce the Gemini Agent Network Protocol, a powerful and flexible framework designed to enable intelligent collaboration among specialized AI agents. Leveraging Google’s Gemini models, the protocol facilitates dynamic communication between agents, each equipped with distinct roles: Analyzer, Researcher, Synthesizer, and Validator. Users will learn to set up and configure an asynchronous…
How MCP Agents Help SaaS Security Teams Automate SOC 2 & HIPAA
Introduction Security and compliance teams at fast-growing SaaS companies are under constant pressure. Whether it’s a SOC 2 audit, HIPAA documentation, or staying updated with GDPR regulations, the compliance burden keeps growing—while the margin for error keeps shrinking. Despite having robust DevSecOps practices and cloud security tools in place, many teams still rely on spreadsheets,…
Building Confidence in AI: Training Programs Help Close Knowledge Gaps
AI is reshaping the workforce at a breakneck speed, yet training efforts aren’t meeting the moment. Despite a quarter of executives feeling bullish on the technology, only 12% of workers have received AI-related training in the past year. This lack of preparation not only hinders the successful and safe adoption of AI, but also creates…
Teaching AI models the broad strokes to sketch more like humans do
When you’re trying to communicate or understand ideas, words don’t always do the trick. Sometimes the more efficient approach is to do a simple sketch of that concept — for example, diagramming a circuit might help make sense of how the system works. But what if artificial intelligence could help us explore these visualizations? While…
A Step-by-Step Coding Guide to Building an Iterative AI Workflow Agent Using LangGraph and Gemini
In this tutorial, we demonstrate how to build a multi-step, intelligent query-handling agent using LangGraph and Gemini 1.5 Flash. The core idea is to structure AI reasoning as a stateful workflow, where an incoming query is passed through a series of purposeful nodes: routing, analysis, research, response generation, and validation. Each node operates as a…