Our core technologies of differentiable physics and scientific foundation models help us learn meaningful patterns with low data, allowing us to solve challenging problems in medicine discovery, materials design and more.

Revolutionizing

Medicine Discovery.

Experimental Data

Simulation Data

Physical Laws

Inductive Priors

Scientific Foundation Model

New Medicine

Novel Alloys

Fundamental Discoveries

Scientific foundation models distill information from freely available unlabeled data into rich priors that can be used in downstream scientific discovery tasks. These models are trained to recapitulate known scientific information, much as a human scientist starts by learning basic facts and doing basic experiments. These trained representations are then leveraged to accelerate progress on real world challenges where much data may not be available.

Through

Differentiable Physics.

State Space

Symmetries & Conservation Laws

Measurables

Parameters

Inductive Priors

Differentiable Physical Theory

Scientific Insights

Differentiable physics applies the techniques of differentiable programming to model physical, chemical, biological, and engineering systems. Differentiable physics methods span high dimensional partial and ordinary differential equation solution, deep representation learning, rich priors from scientific foundation models, and more. Deep Forest Sciences is a leader in the emerging field of differentiable physics.

Revolutionizing

Medicine Discovery.

Experimental Data

Simulation Data

Physical Laws

Inductive Priors

Scientific Foundation Model.

New Medicine

Novel Alloys

Fundamental Discoveries

Scientific foundation models distill information from freely available unlabeled data into rich priors that can be used in downstream scientific discovery tasks. These models are trained to recapitulate known scientific information, much as a human scientist starts by learning basic facts and doing basic experiments. These trained representations are then leveraged to accelerate progress on real world challenges where much data may not be available.

Through

Differentiable Physics.

State Space

Symmetries & Conservation Laws

Measurables

Parameters

Differentiable Physical Theory

Scientific Insights

Differentiable physics applies the techniques of differentiable programming to model physical, chemical, biological, and engineering systems. Differentiable physics methods span high dimensional partial and ordinary differential equation solution, deep representation learning, rich priors from scientific foundation models, and more. Deep Forest Sciences is a leader in the emerging field of differentiable physics.

© 2022 Deep Forest Sciences