Robert Bosch Centre for Data Science and Artificial Intelligence
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  • Research-Articles

Research-Articles

Planner+Reinforcement Learning: Best of both worlds
Probing patterning in microbial consortia with a cellular automaton for spatial organisation
An Early Warning System for Earthquake
Towards Personalized Cancer treatment
A strategy to make networks more resilient to attacks
DailyDialog++ and DEB: A new dataset and new metric to make the evaluation of chatbots and dialogue systems better
Accurate and Interpretable AI models: Towards Deployable AI
CAMP: The perfect bacterial matchmaker
It takes two to tango — making bio-production more economical
A new model that solves the charging woes of Electric vehicles
Learning systems biology, the computational way
Mind the messenger: Analyzing the SARS-CoV-2 transcriptome
CombSGPO: A new algorithm to protect wildlife
The Heads Hypothesis: A Unifying Statistical Approach Towards Understanding Multi-Headed Attention in BERT
Ablation-CAM: Making AI trustworthy
Predicting Essential Genes through Network Approach: Deciphering basis of Life
Deep learning in biomedical image analysis
Finding Influencers in Social Networks: Reinforcement Learning Shows the Way
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Founded in August 2017, with a vision to become an internationally renowned centre for data science research, where long-standing fundamental research problems, cutting across disciplines, are targeted and solved.

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