I Spent 12 Months Using 1,000+ AI Tools — These Are the Ones I Use the Most
Here, I want to share some of the best AI tools that I literally use every day.
Continue reading on Artificial Intelligence in Plain English »
Here, I want to share some of the best AI tools that I literally use every day.
Continue reading on Artificial Intelligence in Plain English »
Navigating the dense urban canyons of cities like San Francisco or New York can be a nightmare for GPS systems. The towering skyscrapers block and reflect satellite signals, leading to location errors of tens of meters. For you and me, that might mean a missed turn. But for an autonomous vehicle or a delivery robot,…
🚀 What to Expect The conference features a range of events designed to enrich attendees’ understanding of the chatbot industry: Expert Keynotes: Get insights from industry leaders at the forefront of AI innovation. Workshops: These certified workshops provide hands-on experience, helping participants design and deploy their own AI agents. Whether you’re looking to master AI automation…
You just watched a colleague confidently present a code solution that solves an issue, but it changed 7 files for a simple CSS tweak. The… Continue reading on Artificial Intelligence in Plain English »
Key Takeaways: Researchers from Google DeepMind, the University of Michigan & Brown university have developed “Motion Prompting,” a new method for controlling video generation using specific motion trajectories. The technique uses “motion prompts,” a flexible representation of movement that can be either sparse or dense, to guide a pre-trained video diffusion model. A key innovation…
Rise of Autonomous Coding Agents in System Software Debugging The use of AI in software development has gained traction with the emergence of large language models (LLMs). These models are capable of performing coding-related tasks. This shift has led to the design of autonomous coding agents that assist or even automate tasks traditionally carried out…
LLMs are increasingly seen as key to achieving Artificial General Intelligence (AGI), but they face major limitations in how they handle memory. Most LLMs rely on fixed knowledge stored in their weights and short-lived context during use, making it hard to retain or update information over time. Techniques like RAG attempt to incorporate external knowledge…