AI’s Memorization Crisis

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...
Frontiers

Modeling, Machine Learning, Bioinformatics and Multi-omics Data in Soil Science

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
WinBuzzer

DeepSeek Reveals R1 Model Architecture Secrets Ahead of V4 Model Launch

DeepSeek has expanded its R1 whitepaper by 60 pages to disclose training secrets, clearing the path for a rumored V4 coding ...
The Information

DeepSeek To Release Next Flagship AI Model With Strong Coding Ability

Chinese AI startup DeepSeek is expected to launch its next-generation AI model that features strong coding capabilities in ...

DeepSeek to launch new AI model focused on coding in February, The Information reports

Chinese AI startup DeepSeek is expected to launch its next-generation AI model V4, featuring strong coding capabilities, in ...

Databricks' Instructed Retriever beats traditional RAG data retrieval by 70% — enterprise metadata was the missing link

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
Tech Xplore

Decoding black box AI with human-readable data descriptions and influence

Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...
MIT Technology Review

Using unstructured data to fuel enterprise AI success

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...
News-Medical.Net

AI trained on sleep data predicts future disease and mortality years in advance

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
IEEE

PM2.5 Retrieval With Sentinel-5P Data Over Europe Exploiting Deep Learning

Abstract: Monitoring particulate matter (PM) is of critical importance due to its significant impact on human health. Ground stations provide highly accurate measurements of various pollutants on a ...

An 'aiyo' call for hope

Aiyo’ (or ‘aiyoh’) is an Indian English exclamation included in the Oxford English Dictionary, used to express a wide range ...
IEEE

Data-Driven Motion Planning: A Survey on Deep Neural Networks, Reinforcement Learning, and Large Language Model Approaches

Abstract: Motion planning is a fundamental challenge in robotics, involving the creation of trajectories from start to goal states while meeting constraints like collision avoidance and joint limits.