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Syngens has developed a powerful AI-based DNA Design Platform to design DNA for biomanufacturing.
This project aims to replicate and extend Anthropic’s recent breakthrough in explainability (Lindsay et al., 2025) into multimodal LLMs, specifically visual LLMs such as Qwen-VL and Gemma.
The project is a three year one aiming at studying the effect of temperature, pressure and ultrafast light absorption and their implication for the structural properties in materials displaying giant quantum-anharmonic effects.
this project advocates for data-driven reward learning: models that directly infer the quality of behaviour from raw observations across a diverse range of scenarios, including both successful and suboptimal trajectories.
This project introduces MatMulFreePLM, a protein language model that overcomes the performance plateau of existing models like ESM by expanding and diversifying training datasets while optimizing computational efficiency.
Particle accelerators and light sources are main tools for discovering the fundamental constituents of our universe, the inner workings of biological organisms, and the response of matter inside stars and planets.
Particle accelerators and light sources are main tools for discovering the fundamental constituents of our universe, the inner workings of biological organisms, and the response of matter inside stars and planets.
Most visible matter in the universe exists as plasma. Extreme plasmas are also pervasive in the most exotic astrophysical objects, such as neutron stars, black holes, jets and AGNs.
The strong interaction (QCD) has a rich phase structure in the temperature, T , chemical potential, μ,plane.
Turbulence is one fundamental problem of classical physics that has eluded a satisfactory description by engineering models.