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Steph Curry’s VC firm just backed an AI startup that wants to fix food supply chains

Food supply chains are notoriously messy. Orders arrive through different channels, staff spend hours manually entering them into clunky enterprise software systems, and compliance often depends on spreadsheets. For decades, software vendors have tried, with mixed success, to modernize the workflows behind the global movement of perishable goods. Now, a Y Combinator startup called Burnt thinks AI agents — software that can automatically handle tasks typically done by humans — can succeed where

Parametric shape optimization with differentiable FEM simulation

All examples are expected to run from the examples/<example_name> directory of the Tesseract-JAX repository . In this example, you will learn how to: Compose both Tesseracts with Tesseract-JAX to create a pipeline that can be used for differentiable shape optimization. Build a Tesseract that uses finite differences under the hood to enable differentiability of a non-autodifferentiable geometry operation (computing a signed distance field from a 3D model). In this notebook, we explore the opt

Jacobi Ellipsoid

Shape taken by a self-gravitating fluid body rotating at constant velocity Artistic rendering of Haumea, a dwarf planet with triaxial ellipsoid shape. A Jacobi ellipsoid is a triaxial (i.e. scalene) ellipsoid under hydrostatic equilibrium which arises when a self-gravitating, fluid body of uniform density rotates with a constant angular velocity. It is named after the German mathematician Carl Gustav Jacob Jacobi.[1] History [ edit ] Before Jacobi, the Maclaurin spheroid, which was formulate