When Algorithms Dream of Photons: Can AI Redefine Reality Like Einstein?

The Photoelectric Paradox: What AI Reveals About Human Brilliance
Continue reading on Becoming Human: Artificial Intelligence Magazine »
The Photoelectric Paradox: What AI Reveals About Human Brilliance
Continue reading on Becoming Human: Artificial Intelligence Magazine »
Although AI has been the No. 1 trend since at least 2023, organizational AI governance is just slowly catching up. But with rising AI incidents and new AI regulations, like the EU AI Act, it’s clear that an AI system that is not governed appropriately has the potential to cause substantial financial and reputational damage…
Mark Zuckerberg has a history of making audacious bets that reshape entire industries – and losing spectacularly when they don’t pan out. After burning through US$46 billion on the metaverse with little to show for it, the Meta CEO is now doubling down with an even more ambitious wager: superintelligence AI. This time, however, the…
Understanding the Link Between Body Movement and Visual Perception The study of human visual perception through egocentric views is crucial in developing intelligent systems capable of understanding & interacting with their environment. This area emphasizes how movements of the human body—ranging from locomotion to arm manipulation—shape what is seen from a first-person perspective. Understanding this…
Mistral AI has pulled back the curtain on Magistral, their first model specifically built for reasoning tasks. Magistral arrives in two flavours: a 24B parameter open-source version called Magistral Small that anyone can tinker with, and a beefier enterprise edition, Magistral Medium, aimed at commercial applications where advanced reasoning capabilities matter most. “The best human…
Artificial Intelligence (AI) has evolved rapidly—especially in how models are deployed and operated in real-world systems. The core function that connects model training to practical applications is “inference”. This article offers a technical deep dive into AI inference as of 2025, covering its distinction from training, latency challenges for modern models, and optimization strategies such…
In this tutorial, we implement an advanced data pipeline using Dagster. We set up a custom CSV-based IOManager to persist assets, define partitioned daily data generation, and process synthetic sales data through cleaning, feature engineering, and model training. Along the way, we add a data-quality asset check to validate nulls, ranges, and categorical values, and…