Theory of Optimal Transport.

 

2026 — Year of the Horse

 

The Year of the Horse (2026) begins on:

February 17, 2026

and ends on:

February 5, 2027

The Chinese zodiac follows the lunar calendar, so it does not start on January 1.

🌟 Symbolic Meaning of a Fire Horse Year

Traditionally associated with:

• Fast progress

• Innovation

• High energy

• Risk-taking

• Big public movements

It is considered a year of motion and acceleration, not stagnation.

Reinforce Learning

 

Reinforcement learning (RL) is a branch of machine learning where an agent learns to make decisions by interacting with an environment to maximize cumulative reward. Its roots trace back to early work in psychology and control theory, but the modern framework began taking shape in the 1980s and 1990s with contributions from researchers like Richard Sutton and Andrew Barto. A major milestone came in 2013 when DeepMind (co-founded by Demis Hassabis) introduced Deep Q-Networks (DQN), which combined deep neural networks with Q-learning to achieve human-level performance on Atari games. This breakthrough catalyzed the field of deep reinforcement learning. Subsequent achievements—such as AlphaGo (2016), AlphaZero (2017), and MuZero (2019)—demonstrated RL’s power in complex domains like Go, chess, and planning without explicit environmental models.

Demis founded a small lab with a big dream: build machines that could learn the way humans do. That lab became DeepMind. For years, the world noticed the flashy victories—AI beating world champions at Go—but Demis kept his eyes on a deeper puzzle, one that biology had struggled with for decades: how proteins fold.

Proteins are life’s tiny machines. Knowing their shape means knowing how life works—and how it fails in disease. The problem was so hard it had resisted scientists for over 50 years. Then came AlphaFold, an AI system led by Demis and his team, which predicted protein structures with astonishing accuracy, in days instead of years.

In 2024, the Nobel Committee recognized that this wasn’t just a triumph of artificial intelligence—it was a breakthrough for humanity’s understanding of life itself. Demis Hassabis won the Nobel Prize in Chemistry because he showed that when human curiosity and machine intelligence work together, even nature’s deepest secrets can finally unfold.

How to slow down light

 

The Most Controversial Idea in Biology

Este Problema De Teoría De Juegos Cambiará La Forma En Que Ves El Mundo

The Closest We’ve Come to a Theory of Everything