This AI Paper from Johns Hopkins and Microsoft Revolutionizes Machine Translation with ALMA-R: A Smaller Sized LLM Model Outperforming GPT-4

Machine translation, a crucial aspect of Natural Language Processing, has significantly increased. Yet, a primary challenge persists: producing translations beyond mere adequacy to reach near perfection. Traditional methods, while effective, often need to be improved by their reliance on large datasets and supervised fine-tuning (SFT), leading to limitations in the quality of the output. Recent developments in the field have brought attention to moderate-sized large language models (LLMs), such as the ALMA models, which have shown promise in machine translation. However, the efficacy of these models is often constrained by the quality of reference data used in training. Researchers have

What is CFG Scale in Stable Diffusion? - Stable Diffusion Art

This post will teach you everything about the CFG scale in Stable Diffusion.

Introduction to Causal Inference with Machine Learning in Python

Causal inference has many tangible applications in a wide variety of scenarios, but in my experience, it is a subject that is rarely talked about among data scientists. In this article, we define…

Google brings Stack Overflow's knowledge base to Gemini for Google Cloud | TechCrunch

Developer Q&A site Stack Overflow is launching a new program today that will give AI companies access to its knowledge base through a new API, aptly

Vicarious Surgical still expects to submit surgical robot to FDA in 2026

Vicarious Surgical management offered an update on the development timeline of its surgical robot as part of its fourth-quarter earnings.

Robotics for Emergency General Surgery

In this issue of JAMA Surgery, Lunardi et al1 report on the comparative outcomes of laparoscopic and robotic-assisted procedures for common emergent general surgical conditions. This study was motivated by limited data on how minimally invasive approaches are being applied in urgent and emergent...

The full training run of GPT-5 has gone live - Rohan Balkondekar - Medium

We can expect it to be released in November, maybe on the 2nd anniversary of the legendary ChatGPT launch In similar timeframes, we will also be getting Gemini 2 Ultra, LLaMA-3, Claude-3, Mistral-2…

MSN

Towards Autonomous Retinal Microsurgery Using RGB-D Images

Retinal surgery is a challenging procedure requiring precise manipulation of the fragile retinal tissue, often at the scale of tens-of-micrometers. Its difficulty has motivated the development of robotic assistance platforms to enable precise motion, and more recently, novel sensors such as microscope integrated optical coherence tomography (OCT) for RGB-D view of the surgical workspace. The combination of these devices opens new possibilities for robotic automation of tasks such as subretinal injection (SI), a procedure that involves precise needle insertion into the retina for targeted drug delivery. Motivated by this opportunity, we develop a framework for autonomous needle navigation during SI. We develop a system which enables the surgeon to specify waypoint goals in the microscope and OCT views, and the system autonomously navigates the needle to the desired subretinal space in <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">real-time</i> . Our system integrates OCT and microscope images with convolutional neural networks (CNNs) to automatically segment the surgical tool and retinal tissue boundaries, and model predictive control that generates optimal trajectories that respect kinematic constraints to ensure patient safety. We validate our system by demonstrating 30 successful SI trials on pig eyes. Preliminary comparisons to a human operator in robot-assisted mode highlight the enhanced safety and performance of our system. <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://sites.google.com/view/eyesurgerymicroscopeoct/home</uri>