The key to Intelligence: “Wait…”
s1: Simple test-time scaling What better test of the adage ‘Think twice before speaking’? By instructing LLMs to pause and […]
Reasoning with long Chain-of-Thoughts
We are still in many ways trying to understand the way our own brains work. With the advancement of AI,
LLMs for Time Series: an Application for Single Stocks and Statistical Arbitrage
The below research paper, published at the end of last year, challenges the belief that Large Language Models (LLMs) are
Harnessing Earnings Reports for Stock Predictions: A QLoRA-Enhanced LLM Approach
This study introduces an advanced approach to stock market prediction following earnings reports by leveraging Large Language Models (LLMs) fine-tuned
From the Frontier
Quantum Computers At the end of last year, Google unveiled Willow, their state-of-the-art quantum chip. If you’re looking for a
February ’25 AI Events
This month, the French AI Action Summit is taking place in Paris. Lasting from the 6th until the 11th February,
First International AI Safety Report Sets Framework for Advanced AI Risks
At the beginning of 2025, the first International AI safety report was published, aiming to provide a scientific framework to
CES 2025: Nvidia Unveils Blackwell GPUs Amidst Rising Competition
At CES 2025, Jensen Huang officially unveiled Nvidia’s latest retail GPU lineup—the Blackwell generation—offering customers unprecedented power and improved affordability.
DeepSeek, Qwen and the Vanguards of Chinese AI
Today, Large Language Models (LLMs) can efficiently represent human text and symbolic (mathematical and programming) languages. In January, DeepSeek put
ESG2Risk: A Deep Learning Framework from ESG News to Stock Volatility Prediction
Incorporating environmental, social, and governance (ESG) considerations into systematic investments have drawn numerous attention recently. In this paper, we focus