Efficient Neural Network Approaches for Conditional Optimal Transport: Abstract & Introduction

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Zheyu Oliver Wang, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA and olivrw@mit.edu; (2) Ricardo Baptista, Computing + Mathematical Sciences, California Institute of Technology, Pasadena, CA and rsb@caltech.edu; (3) Youssef Marzouk, Department of Aeronautics and Astronautics, Massachusetts Institute of … Read more

Using Autodiff to Estimate Posterior Moments, Marginals and Samples: Experimental Datasets and Model

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Sam Bowyer, Equal contribution, Department of Mathematics and sam.bowyer@bristol.ac.uk; (2) Thomas Heap, Equal contribution, Department of Computer Science University of Bristol and thomas.heap@bristol.ac.uk; (3) Laurence Aitchison, Department of Computer Science University of Bristol and laurence.aitchison@bristol.ac.uk. ::: Table of Links Abstract & Introduction … Read more

Using Autodiff to Estimate Posterior Moments: Conclusion, Limitations, and References

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Sam Bowyer, Equal contribution, Department of Mathematics and sam.bowyer@bristol.ac.uk; (2) Thomas Heap, Equal contribution, Department of Computer Science University of Bristol and thomas.heap@bristol.ac.uk; (3) Laurence Aitchison, Department of Computer Science University of Bristol and laurence.aitchison@bristol.ac.uk. ::: Table of Links Abstract & Introduction … Read more

Using Autodiff to Estimate Posterior Moments, Marginals and Samples: Algorithms

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Sam Bowyer, Equal contribution, Department of Mathematics and sam.bowyer@bristol.ac.uk; (2) Thomas Heap, Equal contribution, Department of Computer Science University of Bristol and thomas.heap@bristol.ac.uk; (3) Laurence Aitchison, Department of Computer Science University of Bristol and laurence.aitchison@bristol.ac.uk. ::: Table of Links Abstract & Introduction … Read more

Using Autodiff to Estimate Posterior Moments, Marginals and Samples: Derivations

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Sam Bowyer, Equal contribution, Department of Mathematics and sam.bowyer@bristol.ac.uk; (2) Thomas Heap, Equal contribution, Department of Computer Science University of Bristol and thomas.heap@bristol.ac.uk; (3) Laurence Aitchison, Department of Computer Science University of Bristol and laurence.aitchison@bristol.ac.uk. ::: Table of Links Abstract & Introduction … Read more

Using Autodiff to Estimate Posterior Moments, Marginals and Samples: Methods

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Sam Bowyer, Equal contribution, Department of Mathematics and sam.bowyer@bristol.ac.uk; (2) Thomas Heap, Equal contribution, Department of Computer Science University of Bristol and thomas.heap@bristol.ac.uk; (3) Laurence Aitchison, Department of Computer Science University of Bristol and laurence.aitchison@bristol.ac.uk. ::: Table of Links Abstract & Introduction … Read more

Using Autodiff to Estimate Posterior Moments, Marginals and Samples: Experiments

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Sam Bowyer, Equal contribution, Department of Mathematics and sam.bowyer@bristol.ac.uk; (2) Thomas Heap, Equal contribution, Department of Computer Science University of Bristol and thomas.heap@bristol.ac.uk; (3) Laurence Aitchison, Department of Computer Science University of Bristol and laurence.aitchison@bristol.ac.uk. ::: Table of Links Abstract & Introduction … Read more

Using Autodiff to Estimate Posterior Moments, Marginals and Samples: Background

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Sam Bowyer, Equal contribution, Department of Mathematics and sam.bowyer@bristol.ac.uk; (2) Thomas Heap, Equal contribution, Department of Computer Science University of Bristol and thomas.heap@bristol.ac.uk; (3) Laurence Aitchison, Department of Computer Science University of Bristol and laurence.aitchison@bristol.ac.uk. ::: Table of Links Abstract & Introduction … Read more

Using Autodiff to Estimate Posterior Moments, Marginals and Samples: Related Work

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Sam Bowyer, Equal contribution, Department of Mathematics and sam.bowyer@bristol.ac.uk; (2) Thomas Heap, Equal contribution, Department of Computer Science University of Bristol and thomas.heap@bristol.ac.uk; (3) Laurence Aitchison, Department of Computer Science University of Bristol and laurence.aitchison@bristol.ac.uk. ::: Table of Links Abstract & Introduction … Read more

Using Autodiff to Estimate Posterior Moments, Marginals and Samples: Abstract & Introduction

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Sam Bowyer, Equal contribution, Department of Mathematics and sam.bowyer@bristol.ac.uk; (2) Thomas Heap, Equal contribution, Department of Computer Science University of Bristol and thomas.heap@bristol.ac.uk; (3) Laurence Aitchison, Department of Computer Science University of Bristol and laurence.aitchison@bristol.ac.uk. ::: Table of Links Abstract & Introduction … Read more

The Illusion of Being Stuck

You think that being stuck is a permanent state, and this is the pattern you go through every time: You encounter a new challenge. Your brain resists it. It hasn’t been trained to handle discomfort effectively. You revert to what’s comfortable and familiar. You shut yourself off from potential growth and enlightenment. You feel stuck, … Read more

Homelab: Why You Need It and Where To Start

Are you a computer enthusiast? Want to learn new things like Virtualization, Docker, Kubernetes, touch HW and networking; or sharpen your skills? Or maybe run your own home infrastructure like NAS, Media server for family members, Ubiquity network controller, run a heart of your smart home – HomeAssistant? The answer is – Homelab Ok, what’s … Read more

The 30-Day .NET Challenge – Day 24: How to Avoid Exceptions in Flow Control

Exceptions are designed to handle unexpected situations rather than controlling the application flow. Using exceptions during input validation can affect your application’s readability and performance. Learning Objectives The inefficient use of exceptions A better approach using TryParse Prerequisites for Developers Basic understanding of C# programming language. 30 Day .Net Challenge Getting Started The inefficient use … Read more

Enhancing Interoperability in LMIC Healthcare Information Systems

:::info Authors: (1) Prabath Jayatissa, University of Colombo (2) Roshan Hewapathirane, University of Colombo ::: Table of Links Abstract & Introduction Methodology Results Conclusion & References 4. CONCLUSION Interoperability among health information systems is crucial for improving healthcare delivery in low and middle-income countries (LMICs) where access to quality healthcare is often limited. However, achieving … Read more

Challenges to Interoperability of Health Information Systems in LMICs

:::info Authors: (1) Prabath Jayatissa, University of Colombo (2) Roshan Hewapathirane, University of Colombo ::: Table of Links Abstract & Introduction Methodology Results Conclusion & References 3. RESULTS 3.1. Challenges to Interoperability in LMICs Several challenges hinder interoperability among health information systems in LMICs. Firstly, there is often a need for morestandardisation in data formats, … Read more

Unraveling Interoperability Challenges in LMIC Health Information Systems

:::info Authors: (1) Prabath Jayatissa, University of Colombo (2) Roshan Hewapathirane, University of Colombo ::: Table of Links Abstract & Introduction Methodology Results Conclusion & References 2. METHODOLOGY The review article focuses on the issue of interoperability among health information systems in low and middle-income countries (LMICs). The methodology employed involves a rigorous process that … Read more

Enhancing Interoperability Among Health Information Systems in Low- and Middle- Income Countries

:::info Authors: (1) Prabath Jayatissa, University of Colombo (2) Roshan Hewapathirane, University of Colombo ::: Table of Links Abstract & Introduction Methodology Results Conclusion & References ABSTRACT The review article aims to provide an overview of the challenges and strategies for enhancing interoperability among health information systems in low and middle-income countries (LMICs). Achieving interoperability … Read more

Enhancing Health Data Interoperability with Large Language Models: A FHIR Study

:::info Authors: (1) Yikuan Li, MS, Northwestern University Feinberg School of Medicine & Siemens Medical Solutions; (2) Hanyin Wang, BMed, Northwestern University Feinberg School of Medicine; (3) Halid Z. Yerebakan, PhD, Siemens Medical Solutions; (4) Yoshihisa Shinagawa, PhD, Siemens Medical Solutions; (5) Yuan Luo, PhD, FAMIA, Northwestern University Feinberg School of Medicine. ::: Table of … Read more

Arize AI Leads the Way in AI Observability with Prompt Variable Monitoring

Arize AI, an AI observability and large language model (LLM) evaluation platform, launched prompt variable monitoring and analysis onstage at Google Cloud Next ’24 this week. The debut comes at a time of great need. Although enterprises are racing to deploy foundation models to stay competitive in an increasingly AI-driven world, hallucinations and accuracy of … Read more

Moving Beyond Self-Esteem For Self-Fulfilment

I’ve been thinking about the concept of self-esteem, and I’ve realized that it might be doing more harm than good. I want to share two counterintuitive arguments against it. I was thinking of turning these ideas into one newsletter today and one newsletter next week, but I figure I’ll have something new that I want … Read more

Crypto Profit Potential: BTC Halving, ETH Whale Activity, and Furrever Token $770K Presale

As the crypto landscape buzzes with activity, Bitcoin (BTC) surpasses the $70,000 mark, energized by the approaching halving event that historically signifies bullish cycles. Ethereum (ETH) also sees dramatic action, with significant whale transactions hinting at potential strategic moves amid market volatility. Amid these established giants, Furrever Token (FURR) shines in its presale phase, amassing … Read more

Using Amazon Rekognition to Build an Image Object Detection Feature for a Social Media Startup

The ability to gather information from images has profound business potential. And, well, it can also just be fun. In this article, I’ll outline how we used Amazon Rekognition to rapidly build an image object detection feature for a social media startup. What Is Image Object Detection? Simply put, image object detection is the process of detecting … Read more