There are a number of excellent, comprehensive, and in-depth texts on MIPS …
There are a number of excellent, comprehensive, and in-depth texts on MIPS assembly language programming. This is not one of them.The purpose of this text is to provide a simple and free reference for university level programming and architecture units that include a brief section covering MIPS assembly language programming. The text assumes usage of the QtSpim simulator. An appendix is included that covers the download, installation, and basic use of the QtSpim simulator.The scope of this text addresses basic MIPS assembly language programming including instruction set usage, stacks, procedure/function calls, QtSpim simulator system services, multiple dimension arrays, and basic recursion.
Principles, techniques, and algorithms in machine learning from the point of view …
Principles, techniques, and algorithms in machine learning from the point of view of statistical inference; representation, generalization, and model selection; and methods such as linear/additive models, active learning, boosting, support vector machines, hidden Markov models, and Bayesian networks.
Deriving a symbolic description of the environment from an image. Understanding physics …
Deriving a symbolic description of the environment from an image. Understanding physics of image formation. Image analysis as an inversion problem. Binary image processing and filtering of images as preprocessing steps. Recovering shape, lightness, orientation, and motion. Using constraints to reduce the ambiguity. Photometric stereo and extended Gaussian sphere. Applications to robotics; intelligent interaction of machines with their environment. Machine Vision provides an intensive introduction to the process of generating a symbolic description of an environment from an image. Lectures describe the physics of image formation, motion vision, and recovering shapes from shading. Binary image processing and filtering are presented as preprocessing steps. Further topics include photogrammetry, object representation alignment, analog VLSI and computational vision. Applications to robotics and intelligent machine interaction are discussed.
On the eve of the CC Global Summit, members of the CC …
On the eve of the CC Global Summit, members of the CC global community and Creative Commons held a one-day workshop to discuss issues related to AI, creators, and the commons. The community attending the Summit has a long history of hosting these intimate discussions before the Summit begins on critical and timely issues.
Emerging from that deep discussion and in subsequent conversation during the three days of the Summit, this group identified a set of common issues and values, which are captured in the statement below. These ideas are shared here for further community discussion and to help CC and the global community navigate uncharted waters in the face of generative AI and its impact on the commons.
This book will teach you how to make graphical computer games in …
This book will teach you how to make graphical computer games in the Python programming language using the Pygame library.This book assumes you know a little bit about Python or programming in general. If you don’t know how to program, you can learn by downloading the free book "Invent Your Own Computer Games with Python" from http://inventwithpython.com. Or you can jump right into this book and mostly pick it up along the way. This book is for the intermediate programmer who has learned what variables and loops are, but now wants to know, "What do actual game programs look like?" There was a long gap after I first learned programming but didn’t really know how to use that skill to make something cool. It’s my hope that the games in this book will give you enough ideas about how programs work to provide a foundation to implement your own games.
Topics vary from year to year. Topic for Fall: Eigenvalues of random …
Topics vary from year to year. Topic for Fall: Eigenvalues of random matrices. How many are real? Why are the spacings so important? Subject covers the mathematics and applications in physics, engineering, computation, and computer science. This course covers algebraic approaches to electromagnetism and nano-photonics. Topics include photonic crystals, waveguides, perturbation theory, diffraction, computational methods, applications to integrated optical devices, and fiber-optic systems. Emphasis is placed on abstract algebraic approaches rather than detailed solutions of partial differential equations, the latter being done by computers.
This course covers elementary discrete mathematics for computer science and engineering. It …
This course covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions.
The focus of the course is on medical science and practice in …
The focus of the course is on medical science and practice in the age of automation and the genome, both present and future. It includes an analysis of the computational needs of clinical medicine, a review systems and approaches that have been used to support those needs, and an examination of new technologies.
Presents the main concepts of decision analysis, artificial intelligence, and predictive model …
Presents the main concepts of decision analysis, artificial intelligence, and predictive model construction and evaluation in the specific context of medical applications. Emphasizes the advantages and disadvantages of using these methods in real-world systems and provides hands-on experience. Technical focus on decision analysis, knowledge-based systems (qualitative and quantitative), learning systems (including logistic regression, classification trees, neural networks), and techniques to evaluate the performance of such systems. Students produce a final project using the methods learned in the subject, based on actual clinical data. (Required for students in the Master's Program in Medical Informatics, but open to other graduate students and advanced undergraduates.)
This meta-analysis of research in Artificial Intelligence (AI) in higher education provides …
This meta-analysis of research in Artificial Intelligence (AI) in higher education provides a synthesized examination of the emerging trends, applications, and implications of AI in this specialized educational sector. Drawing on articles, reports, and academic publications, this review aims to offer an integrated perspective on the dynamic role AI plays in higher education.
Modeling of microelectronic devices, and basic microelectronic circuit analysis and design. Physical …
Modeling of microelectronic devices, and basic microelectronic circuit analysis and design. Physical electronics of semiconductor junction and MOS devices. Relation of electrical behavior to internal physical processes; development of circuit models; and understanding the uses and limitations of various models. Use of incremental and large-signal techniques to analyze and design bipolar and field effect transistor circuits, with examples chosen from digital circuits, single-ended and differential linear amplifiers, and other integrated circuits. Design project. Description from the course home page: 6.012 is the header course for the department's "Devices, Circuits and Systems" concentration. The topics covered include: modeling of microelectronic devices, basic microelectronic circuit analysis and design, physical electronics of semiconductor junction and MOS devices, relation of electrical behavior to internal physical processes, development of circuit models, and understanding the uses and limitations of various models. The course uses incremental and large-signal techniques to analyze and design bipolar and field effect transistor circuits, with examples chosen from digital circuits, single-ended and differential linear amplifiers, and other integrated circuits.
Este trabajo ha sido desarrollado gracias a la interacción como docente universitario …
Este trabajo ha sido desarrollado gracias a la interacción como docente universitario en la enseñanza teórica y práctica de la materia de microprocesadores con diversos grupos de estudiantes por alrededor de 15 años. Es con sus exigencias, cuestionamientos y colaboraciones con sus proyectos prácticos implementados en los cursos dictados, que se ha podido construir una guía comprensiva, que trate de responder de una forma adecuada las múltiples dudas de los estudiantes en su proceso de aprendizaje.
Learn the core container technologies such as Docker and Podman, how to …
Learn the core container technologies such as Docker and Podman, how to manage containers, and container images, how to create containerfiles, and control Networks, and Storage while practicing with real-life case studies.Learning OutcomesComprehend containers and their role in DevOps life cycleCreate an image, describe layers of the imagesUse of Dockerfile and advanced configurationsUse an image registry for securityDefine and create containers, volumes, and networksGrasp the concepts of Docker engine, logging drivers, graph drivers, storage drivers, and device mappersGet an overview of container orchestration with compose and Kubernetes
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