This workshop will explore the foundations of private law - property, contracts, torts, and restitution. Emphasis will be on theories that offer explanations, justifications, and criticisms of architectural features of these areas of law and of their connections to one another. Sessions will be devoted to paper presentations by outside speakers and to discussions of classic and contemporary works reflecting philosophical, historical, and economic approaches to private law topics.
This course provides an introduction to the structure of the U.S. Constitution and the rights and liberties it defines. Topics include judicial review, federalism, separation of powers, and equal protection and due process of law under the Fourteenth Amendment of the U.S. Constitution. Extensive coverage is devoted to individual rights under the Fourteenth Amendment.
This course provides a foundational overview of the fundamental ideas in computational neuroscience and the study of Biological Intelligence. At the same time, the course will connect the study of brains to the blossoming and rapid development of ideas in Artificial Intelligence. Topics covered include the biophysics of computation, neural networks, machine learning, Bayesian models, theory of learning, deep convolutional networks, generative adversarial networks, neural coding, control and dynamics of neural activity, applications to brain-machine interfaces, connectomics, among others...
Most simply, a tort is a civil wrong not arising from contract. But tort law also reflects much deeper questions about when we have obligations to one another and what we must do to meet them. Studying everything from assault and battery to defamation, privacy, and negligence, this course examines the real-world functioning and theoretical foundations of tort law.
Visual recognition is essential for most everyday tasks including navigation, reading and socialization. Visual pattern recognition is also important for many engineering applications such as automatic analysis of clinical images, face recognition by computers, security tasks and automatic navigation. In spite of the enormous increase in computational power over the last decade, humans still outperform the most sophisticated engineering algorithms in visual recognition tasks. In this course, we will examine how circuits of neurons in visual cortex represent and transform visual information.... Read more about Neuro 130/230: Visual object recognition
Visual recognition is essential for most everyday tasks including navigation, reading and socialization. Visual pattern recognition is also important for many engineering applications such as automatic analysis of clinical images, face recognition by computers, security tasks and automatic navigation. In spite of the enormous increase in computational power over the last decade, humans still outperform the most sophisticated engineering algorithms in visual recognition tasks. In this course, we will examine how circuits of neurons in visual cortex represent...
The problem of intelligence – how the brain produces intelligent behavior and how we may be able to replicate intelligence in machines – is arguably the greatest problem in science and technology. To solve it we will need to understand how human intelligence emerges from computation in neural circuits, with rigor sufficient to reproduce similar intelligent behavior in machines. Success in this endeavor ultimately will enable us to understand ourselves better, to produce smarter machines, and perhaps even to make ourselves smarter. Today’s AI technologies, such as Watson and Siri, are...
Visual recognition is essential for most everyday tasks including navigation, reading and socialization. Visual pattern recognition is also important for many engineering applications such as automatic analysis of clinical images, face recognition by computers, security tasks and automatic navigation. In spite of the enormous increase in computational power over the last decade, humans still outperform the most sophisticated engineering algorithms in visual recognition tasks. In this course, we will examine how circuits of neurons in visual cortex represent and transform visual information.... Read more about Neuro 230/GSAS 78454: Visual Object Recognition: computational and biological mechanisms
