News

Northwestern's McCormick School of Engineering8d
New Machine Learning Framework Enables Data-Efficient Design of Advanced Metamaterials
A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...
CRN4y
Top 20 Data Science And Machine Learning Platforms: Gartner
From AWS, Google and Microsoft to IBM, SAS and MathWorks, here are the 20 data science and machine learning platforms ... modeling and model management. Weaknesses: Gartner said SAS needs to ...
Physician's Weekly6d
Machine-Learning Models for ARDS Detection Using EHR Data
The following is a summary of “Development and External Validation of a Detection Model to Retrospectively Identify Patients ...
Chemistry World1dOpinion
We need to build the data that chemistry deserves - here's how we can do it
Creating a purpose-built repository of standardised reaction data is a tall order, but the reward would be huge ...
Science Daily12d
Researchers use machine learning to predict exercise adherence
Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts.
TechBullion3d
Unlocking the Black Box of AI: Gopalakrishnan Arjunan’s AutoXplainAI Brings Clarity to Machine Learning
In the ever-growing field of machine learning, one of the most significant challenges is making complex models interpretable and accessible. Enter AutoXplainAI, an innovative framework developed by ...
Fierce Biotech8d
Tempus AI in line for $200M from AstraZeneca, Pathos deal to develop cancer model
Tempus AI has signed a three-way deal with AstraZeneca and Pathos AI to construct a data-based oncology model that could ...