Korean AI startup Motif reveals 4 big lessons for training enterprise LLMs

Motif-2-12.7B-Reasoning is positioned as competitive with much larger models, but its real value lies in the transparency of ...

Stop using ChatGPT for everything: I use these AI models for research, coding, and more (and which I avoid)

Obsessing over model version matters less than workflow.
BMJ Global Health

Prevalence, urban-rural disparity and determinants of caesarean section delivery among women delivering at health facilities in 48 low- and middle-income countrie…

Introduction Caesarean section rates have increased globally, exceeding the WHO’s recommended threshold of 15%. Understanding ...

Syntekabio's '3bm GPT' Protein Binding Analysis LLM Technology Published in International SCI Journal

AI drug discovery company Syntekabio (CEO Jung Jongseon) announced on November 24 that its research on the large language model (LLM)-based ...
jnis.bmj

Statistical principles in neurointervention part 2. Multivariable analysis: generalized linear models, modification, confounding, and mediation

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...
ahajournals.org

Improved Interpretation of Stroke Trial Results Using Empirical Barthel Item Weights

Background and Purpose— Attempts have been made to provide guidelines for interpreting Barthel scores. We used a Rasch analysis to improve the measurement properties and clinical interpretability of ...
IEEE

Dynamic Recursive Logit Model for Vehicle Driving Route Choices and Path Inference With Incomplete Fixed Location Sensor Data

Abstract: This paper studies the estimation of dynamic route choice behavior of drivers with incomplete fixed location-based sensor data, such as radio frequency identification (RFID) data. Unlike ...
Counterview

Importance of exploratory data analysis of dummy variables, logit/probit using eviews

IMPRI Generation Alpha Data Centre (GenAlphaDC) along with IMPRI Impact and Policy Research Institute, New Delhi conducted a Two-Week Immersive Online Hands-On Certificate Training Course on ...
InfoQ

Google DeepMind Unveils AlphaGenome: a Unified AI Model for High-Resolution Genome Interpretation

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
GitHub

Evaluate the nesting indices logic of the Nested Logit Model for Efficiency and Maintainablility

@ricardoV94 and @lucianopaz have developed a Nested Logit implementation for PyMC labs that is likely cleaner and more robust than the implementation currently live for pymc marketing. Opening this ...
Motor Trend

2026 Tesla Model S First Look: Subtle Updates Bring More Range, Slightly New Look

Even though it might seem like Tesla has a lot going on—robotaxis, literal humanoid robots, and that ever-elusive affordable model that just keeps getting pushed back—its aging core lineup has only ...
Scientific Research Publishing

Williams, A.A.A. (2019) Ordinal Outcome Modeling: The Application of the Adaptive Moment Estimation Optimizer to the Elastic Net Penalized Stereotype Logit. Journal of Data ...

ABSTRACT: Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional health data characterized by ordinal outcomes. This study offers a comparative ...