AI That Thinks in Vectors, cut costs by up to 40% and reply faster

Learn how CALM uses continuous vectors to bypass the token bottleneck and cut AI compute by up to 40%. Continuous ...

CALM explained: Continuous thinking AI, how it’s different from GenAI LLMs so far

In 2017, a group of Google researchers published a paper titled “Attention Is All You Need.”That simple phrase didn’t just ...
GitHub

Lack of useful generic common ground when working with both discrete and continuous probability distributions

I've been working with MathNet.Numerics.Distributions recently and I'm really confused by certain design decisions. When writing generic algorithms that operate on probability distributions; it's ...
Physics World

Manipulating time crystals between continuous and discrete states

Researchers demonstrate a novel method for transforming continuous time crystals into discrete ones using subharmonic injection locking, offering new insights into symmetry breaking and control in ...
waketech

MAT-152 Statistical Methods I

This course provides a project-based approach to introductory statistics with an emphasis on using real-world data and statistical literacy. Topics include descriptive statistics, correlation and ...
GitHub

Continuous Ranked Probability Scores (CRPS)

A generalisation of Ranked Probability Score (RPS) is the Continuous Rank Probability Score (CRPSS) where the thresholds are continuous rather than discrete (see Nurmi, 2003; Jollife and Stephenson, ...
IEEE

Discretizing Continuous Action Space With Unimodal Probability Distributions for On-Policy Reinforcement Learning

Abstract: For on-policy reinforcement learning (RL), discretizing action space for continuous control can easily express multiple modes and is straightforward to optimize. However, without considering ...