Mathematical modeling of evolving systems
Discover the multidisciplinary nature of the dynamical principles at the core of complexity science. COURSE NUMBER: CAS 522 COURSE TITLE: Dynamical Systems LEVEL: Graduate SCHOOL: School of Complex Adaptive Systems INSTRUCTOR: Enrico Borriello MODE: Online SEMESTER: Fall 2021 SESSION:
From playlist What is complex systems science?
Biological Classification of Hierarchy || #Shorts || Deveeka Ma'am || Infinity Learn Class 9&10
Biological classification is the scientific method of organizing and categorizing living organisms based on shared characteristics. This system allows us to study the diversity of life on Earth and understand how different species are related to one another. The hierarchy of biological cla
From playlist Shorts
Eva Kisdi : Evolutionary branching: Trade-offs and magic traits
Abstract: Adaptive dynamics has shaped our understanding of evolution by demonstrating that, via the process of evolutionary branching, ecological interactions can promote diversification. The classical approach to study the adaptive dynamics of a system is to specify the ecological model
From playlist Mathematics in Science & Technology
11 Biology Module 3 Biological Diversity Structural Adaptations
From playlist Y11 Bio Mod 3 Biological Diversity
What Is A Species? | Evolution | Biology | FuseSchool
Carl Linnaeus classified all living things into groups based upon their physical features. His system placed organisms with the most similar characteristics together in a group he called the “species”. A species is defined as all organisms that are able to breed with one another, and mos
From playlist BIOLOGY: Evolution
OLT#3 Tissues, Organs and Systems
11 Biology Module 2 Organisation of Living Things Tissues, Organs and Systems
From playlist Y11 Bio Mod 2 Organisation of Living Things
Introduction to Classification Models
Ever wonder what classification models do? In this quick introduction, we talk about what classifications models are, as well as what they are used for in machine learning. In machine learning there are many different types of models, all with different types of outcomes. When it comes t
From playlist Introduction to Machine Learning
From playlist Courses and Series
AI Weekly Update - June 16th, 2021 (#35!)
Content Links Below: Generative Models as a Data Source for Multi-View Representation Learning: https://arxiv.org/pdf/2106.05258.pdf Learning to See by Looking at Noise: https://arxiv.org/pdf/2106.05963.pdf Knowledge Distillation: A Good Teacher is Patient and Consistent: https://arxiv.org
From playlist AI Research Weekly Updates
This is an informal talk on sporadic groups given to the Archimedeans (the Cambridge undergraduate mathematical society). It discusses the classification of finite simple groups and some of the sporadic groups, and finishes by briefly describing monstrous moonshine. For other Archimedeans
From playlist Math talks
Formation and evolution of compact binaries (Lecture - 04) by Tomasz Bulik
Summer School on Gravitational-Wave Astronomy DATE: 17 July 2017 to 28 July 2017 VENUE: Madhava Lecture Hall, ICTS Bangalore This school is a part of the annual ICTS summer schools in gravitational wave astronomy. This year’s school will focus on the physics and astrophysics of compact
From playlist Summer School on Gravitational-Wave Astronomy - 2017
Philippe G. LeFloch - Gravitational singularities, massive fields, and asymptotic localization
Recorded 7 October 2021. Philippe G. LeFloch of the Sorbonne University, Paris presents "Gravitational singularities, massive fields, and asymptotic localization" at IPAM's Workshop I: Computational Challenges in Multi-Messenger Astrophysics. Abstract: I will present recent mathematical ad
From playlist Workshop: Computational Challenges in Multi-Messenger Astrophysics
Panagiota Daskalopoulos: Ancient solutions to geometric flows
Abstract: We will give a survey of recent research progress on ancient or eternal solutions to geometric flows such as the Ricci flow, the Mean Curvature flow and the Yamabe flow. We will address the classification of ancient solutions to parabolic equations as well as the construction of
From playlist Women at CIRM
Loss Landscape and Performance in Deep Learning by Stefano Spigler
DISCUSSION MEETING : STATISTICAL PHYSICS OF MACHINE LEARNING ORGANIZERS : Chandan Dasgupta, Abhishek Dhar and Satya Majumdar DATE : 06 January 2020 to 10 January 2020 VENUE : Madhava Lecture Hall, ICTS Bangalore Machine learning techniques, especially “deep learning” using multilayer n
From playlist Statistical Physics of Machine Learning 2020
Mod-01 Lec-01 Introduction to Nanomaterials
Nanostructures and Nanomaterials: Characterization and Properties by Characterization and Properties by Dr. Kantesh Balani & Dr. Anandh Subramaniam,Department of Nanotechnology,IIT Kanpur.For more details on NPTEL visit http://nptel.ac.in.
From playlist IIT Kanpur: Nanostructures and Nanomaterials | CosmoLearning.org
GRCon21 - Keynote: Future Interference Management, Future Spectrum Monitoring
Presented by John Chapin at GNU Radio Conference 2021
From playlist GRCon 2021
How Are Organisms Classified? | Evolution | Biology | FuseSchool
In terms of biological classification, organisms are classified, or grouped, with other organisms that they are most closely related to. These small groups are then classified together into larger groups and so on, until we reach the top level of classification which places organisms in
From playlist BIOLOGY: Evolution
Nataša Šešum: Geometric Flows and Ancient Solutions Lecture Two
Speaker info: Nataša Šešum has made a number of groundbreaking contributions to the analysis of singularities in geometric evolution equations. Her remarkable work with Angenent, Daskalopoulos and others provide the first general classification results for ancient solutions. Nataša was a
From playlist MATRIX-SMRI Symposium: Singularities in Geometric Flows