Most model debates start with accuracy, AUC, or F1. However, real systems do not run on metrics. They run on money, risk, and capacity. Continue reading on Towards AI »
Molecular subtyping of PDAC into basal-like and classical has established prognostic and predictive value. However, its use in clinical practice is limited by cost, turnaround time, and tissue requirements, thereby restricting its application in the management of PDAC. We introduce PanSubNet, an interpretable deep learning framework that predicts therapy-relevant molecular subtypes directly from standard H&E-stained WSIs. PanSubNet was developed using data from 1,055 patients across two multi-institutional cohorts (PANCAN, n=846; TCGA, n=209) with paired histology and RNA-seq data. […]
The new ChatGPT Images is powered by our flagship image generation model, delivering more precise edits, consistent details, and image generation up to 4× faster. The upgraded model is rolling out to all ChatGPT users today and is also available in the API as GPT-Image-1.5.
arXiv:2601.00243v1 Announce Type: new Abstract: Effective pest management is crucial for enhancing agricultural productivity, especially for crops such as sugarcane and wheat that are highly vulnerable to pest infestations. Traditional pest management methods depend heavily on manual field inspections and the use of chemical pesticides. These approaches are often costly, time-consuming, labor-intensive, and can have a negative impact on the environment. To overcome these challenges, this study presents a lightweight framework for pest detection and pesticide recommendation, designed […]
Teilhard casts scientific research as humanity’s next evolutionary pulse—our collective mind awakening to shape its own future. He argues that the modern hunger to know and create is nothing less than evolution reflecting on itself, a divine power working through human inquiry. For him, research becomes sacred: the meeting point where faith in God and faith in human potential fuse into a single, world-transforming spiritual force.
Patrick Smacchia, the author of NDepend, offered me a license for NDepend and I was thrilled, as I was always interested in it. In this blog post, I’ll be talking about my opinion and thoughts after trying it for the first time. Static code analysis Being able to check the quality of your source code before it’s even ran is a very valuable thing to have.
Six steps for implementing a structured, scalable employee-shadowing process.
I hope your 2025 is off to a great start! To kick off the year, I’ve finally been able to complete the draft and second part of this AI Research Highlights of 2024 article. It covers a variety of relevant topics, from mixture-of-experts models to new LLM scaling laws for precision. Note that this article is Part Two in this series, focusing on the second half of 2024 from July through December. You can find Part One, covering […]
You may often want to make your Python programs more interactive by responding dynamically to input from the user. Learning how to read user input from the keyboard unlocks exciting possibilities and can make your code far more useful. The ability to gather input from the keyboard with Python allows you to build programs that can respond uniquely based on the preferences, decisions, or data provided by different users. By fetching input and assigning it to variables, your […]
BNY is using OpenAI technology to expand AI adoption enterprise-wide. Through its Eliza platform, 20,000+ employees are building AI agents that enhance efficiency and improve client outcomes.