Beyond 3-D: Data scientists introduce novel AI tool to interpret complex biological data

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...
IEEE

A Tutorial on the CVX System for Modeling and Solving Convex Optimization Problems

Abstract: In many areas of knowledge, situations in which we have to model and solve optimization problems are recurrent. Among the mathematical theories that support the solution of such problems, ...
Nature

What is the expectation maximization algorithm?

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
IEEE

End-to-End Channel Modeling and Generation Software Based on Statistical mmWave Channel Model

Abstract: Millimeter wave (mmWave) multi-path channel models based on a Saleh-Valenzuela (SV) model are fundamental for simple link-level simulations in mmWave communication systems. However, ...

Liquid AI's smallest model yet LFM2.5-230M beats models 4X its size at data extraction, can run 'anywhere'

LFM2.5-230M proves that while 3-billion-parameter models like VibeThinker are solving advanced calculus, a ...

More Data Won’t Save Your AI: Why Nuance And Judgement Are Needed For An AI Resilient Enterprise

Nuance and Judgement are Needed for an AI Resilient Enterprise. While multi-modal AI can ingest vast amounts of data, it ...