I highly recommend checking out Visual Complex Analysis by Prof. Tristan Needham. The book has a highly geometric and intuitive approach to this rich subject.

The Fall Winter 2015 Runway Re-edition from the limited-edition Puzzle 10 collection takes us back to the bag’s womenswear debut at UNESCO House in 2015. Crafted in smooth suede and arranged in shades of pink, its geometric sections introduced a fresh approach to form,

Unlike recent feed-forward models like MASt3R and VGGT, NVIDIA's ViPE takes the approach of a classic, optimization-based SLAM centered on Bundle Adjustment. ViPE: Video Pose Engine for Geometric 3D Perception https://t.co/ukdOXt9DFD

The Knight's Tour Problem: #A_Geometric_Approach "The geometry of a known Trisection, Solution or Bisection can always be modified by means of "real" and/or "virtual" Configurations, in order to produce any of the other two paths." #No_trial_and_error #Conjecture_7 #Nov_08_2025

Euclid’s Elements (c. 300 BC), composed in Alexandria, is a seminal 13-book treatise that systematically presents definitions, axioms, propositions, and proofs. It forms the foundation of Euclidean geometry, early number theory, and introduces a geometric approach to algebra.

📄 New paper on arXiv A Geometric Approach to Strongly Correlated Bosons https://t.co/BJ66ulmyhD We develop a geometric framework for strongly correlated lattice bosons and show that the ground state problem can be formulated using only momentum occupation numbers.

Solvaformer: An SE(3)-Equivariant Graph Transformer for Small Molecule Solubility Prediction 1. Solvaformer is a groundbreaking model that predicts small molecule solubility with high accuracy by integrating geometric awareness and multi-task learning. This approach combines

🎉 Announcing our ICML2025 Spotlight paper: Learning Safety Constraints for Large Language Models We introduce SaP (Safety Polytope) - a geometric approach to LLM safety that learns and enforces safety constraints in LLM's representation space, with interpretable insights. 🧵

Marble: a geometric approach for interpretable neural population dynamics Neural populations can display remarkable low-dimensional activity patterns, where intricate computations unfold on smooth shapes often referred to as manifolds. Understanding these temporal processes is

The Knight's Tour Problem: #A_Geometric_Approach "Applying twice the same Configuration consecutively, nullifies its geometric modification over a path ..." An example: Producing a symmetric solution with a symmetric Trisection & vice versa. #Conjecture_6 #10x10_KT #Nov_07_25

The Knight's Tour Problem: #A_Geometric_Approach By modifying the geometry of a known symmetric Trisection, we can obtain a new symmetric Solution by connecting the symmetric-to-each-other paths, to the 3rd. symmetric path #No_trial_and_error #Trisection_to_Solution #Nov_06_2025

The Knight's Tour Problem: #A_Geometric_Approach By modifying the geometry of a known Solution, we can obtain new Solutions ... Here are some examples of 7x7 new solutions obtained by applying "centric" configurations: #No_trial_and_error #Nov_02_2025

Hierarchical Geometric Deep Learning Enables Scalable Analysis of Molecular Dynamics 1. A new approach in molecular dynamics analysis leverages hierarchical geometric deep learning to handle large biomolecular systems with thousands of residues, overcoming previous limitations

Using a hybrid approach of molecular dynamics and multiparticle collision methods, researchers find that geometric anisotropy and the presence of oligomeric solutes are the primary drivers of anomalous thermal transport in oligomer aqueous solutions. 🔗 https://t.co/kH43i72nC9

Learning Hamiltonian Dynamics at Scale: A Differential-Geometric Approach https://t.co/Va10N2rGmA

The Knight's Tour Problem: #A_Geometric_Approach Transforming an open (10x10) asymmetric Solution (by Awani Kumar) into a closed symmetric path by rotating the lower half of the graphic description. This is the known Trisection used on last post #No_trial_and_error #Nov_08_2025

Part III: Nonholonomic Systems; Learning of Dynamic Processes; Optimization and learning on manifolds; Neurogeometry; Lie Group in Learning Distributions & in Filters; A geometric approach to differential equations; Information Geometry, Delzant Toric Manifold & Integrable System

Geometric Algebra-Enhanced Bayesian Flow Network for RNA Inverse Design 1. The paper introduces RBFN, a novel method for RNA inverse design that combines geometric algebra with Bayesian Flow Networks to generate RNA sequences from 3D structures. This approach addresses the

The Knight's Tour Problem: #A_Geometric_Approach Link to article on this new method (14 pages, 23 diagrams): by modifying the geometry of a known solution, you can produce new solutions and you can also describe them . https://t.co/kUwzu7RV9Q #No_trial_and_error #Jan_07_2026

Stoëmp Studio’s geometric identity system for A2M reflects the architecture firm’s 25-year legacy in sustainable design through a leaner, sharper approach. Check out more of their work below ↓