Uploaded July 2026 | Updated September 2026, 2 weeks ago
ICTP's Quantitative Life Sciences section sits at the crossroads of physics, biology, and machine learning — with five distinct research areas:
1. Statistical learning in living systems and machines
2. Stochastic thermodynamics and out-of-equilibrium systems
3. Ecosystems and evolution — understanding the forces that shape biodiversity
4. Physical and mathematical techniques for algorithmic limits in machine learning
5. Reinforcement learning, control and decision making
A section created to respond to the need of developing countries to build capacity in these interdisciplinary fields.
Full QLS section video on our channel — link in profile.
🔗 https://www.ictp.it/research/qls
#ictp #QuantitativeLifeSciences #machinelearning #biologicalphysics #neuroscience #sciencefordevelopment
ICTP's Quantitative Life Sciences section sits at the crossroads of physics, biology, and machine learning — with five distinct research areas:
1. Statistical learning in living systems and machines
2. Stochastic thermodynamics and out-of-equilibrium systems
3. Ecosystems and evolution — understanding the forces that shape biodiversity
4. Physical and mathematical techniques for algorithmic limits in machine learning
5. Reinforcement learning, control and decision making
A section created to respond to the need of developing countries to build capacity in these interdisciplinary fields.
Full QLS section video on our channel — link in profile.
🔗 https://www.ictp.it/research/qls
#ictp #QuantitativeLifeSciences #machinelearning #biologicalphysics #neuroscience #sciencefordevelopment
