The goal of this article is to address the most common questions practitioners are asking today about gen AI in e-discovery.

Value investing is built on a simple idea: markets don’t always price companies accurately, and patient investors can take advantage of that gap. The approach looks different depending on the investor ...

Abstract: This article proposes a data-driven model-free inverse Q-learning algorithm for continuous-time linear quadratic regulators (LQRs). Using an agent’s trajectories of states and optimal ...

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

Heartland Advisors, an investment management company, released its “Heartland Value Fund” fourth-quarter 2025 investor letter. A copy of the letter can be downloaded here. The Russell 2000® Value ...

MyAgent class defines an AI which plays the dice game with the best strategy possible using the Value Iteration algorithm from the book[2]: (Sutton et al., 2018, p. 83). For storing utilities and ...

As social media becomes increasingly reliant on algorithmic feeds, creators are navigating a new normal: Just because you post something doesn’t mean your followers will see it. “I think that 2025 was ...