Deep learning provides new view on 300 million years of brain evolution
In a new study published in Science, a Belgian research team explores how genetic switches controlling gene activity define ...
The Chemical Engineer9d
AI pioneers scoop 2025 QE Prize for Engineering
SEVEN engineers behind the rise of the artificial intelligence technologies that are revolutionising industries and ...
eLife14d
Molecular Feature-Based Classification of Retroperitoneal Liposarcoma: A Prospective Cohort Study
Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, State Key Laboratory for Digestive Health, National Clinical Research Center for Digestive Disease, Beijing ...
The Chemical Engineer14d
Useful Data Needs More Diagrams Not More Data
While all this is correct there is one problem, raw data are dumb. The most sophisticated machine learning algorithms cannot compensate ... generating process and creates what she calls a causal ...
newsbytesapp.com28d
International Day of Education 2025: AI's role in human learning
Artificial intelligence (AI) is taking over classrooms, offering personalized learning at lightning speed. But hold on—are we losing the human touch ... AI's got your data, but is it playing ...
officechai.com29d
We’ve Already Run Out Of Human Data To Train AI Models: Elon Musk
Elon Musk has said that AI companies have run out of data to train AI models. He says all human-generated data was exhausted sometime ... and sort of go through this process of self learning with ...
techxplore29d
Artificial imagination with the 'exocortex:' Researcher proposes software to aid scientific inspiration and imagination
It's called a science exocortex—"exo" meaning outside and "cortex" referencing the information processing layer of the human brain. Rather than simple ... while another AI agent collects and analyzes ...
IEEE29d
A Deep Learning-Based Approach for Two-Phase Flow Pattern Classification Using Void Fraction Time Series Analysis
Abstract: Flow regime classification is essential for analyzing and modeling two-phase flows, as it demarcates the flow behavior and influences the selection of appropriate predictive models. Machine ...
Centre for International Governance Innovation1mon
Human-Machine Interaction and Human Agency in the Military Domain
AI does not replace humans, but personnel interact with AI technologies more frequently. Practices of human-machine interaction have the potential to profoundly alter the quality of human agency, ...
GitHub1mon
Learning Trajectory Dependencies for Human Motion Prediction
To train, run python main.py --epoch 5 --input_n 10 --output 10 --dct_n 20 --data_dir [Path To Your H36M data]/h3.6m/dataset/ Visualize the results of pretrained model for predictions on angle space ...
GitHub1y
Kubeflow Pipelines
Kubeflow is a machine learning (ML) toolkit that is dedicated to making deployments of ML workflows on Kubernetes simple, portable, and scalable. Kubeflow pipelines are reusable end-to-end ML ...