Explore Microsoft's innovative approach to query optimization in production environments, addressing challenges with general-purpose optimization and introducing specialized cloud-based optimizers. Learn about the implementation details, experiments conducted, and the solution proposed. Discover how

2 views • 27 slides

User intent, also known as search intent, refers to the underlying goal or purpose a user has when performing an online search. It goes beyond the literal interpretation of keywords and focuses on understanding why a person is searching. Recognizing and catering to user intent is crucial for creatin

3 views • 10 slides

Explore the optimization of online game traffic for enhanced user experience by addressing current issues like lags and disconnections in Speed Dreams 2. Learn about modifying the network architecture, implementing interest management, data compression, and evaluation metrics for a stable gaming env

8 views • 7 slides

Optimization in process engineering involves obtaining the best possible solution for a given process by minimizing or maximizing a specific performance criterion while considering various constraints. This process is crucial for achieving improved yields, reducing pollutants, energy consumption, an

10 views • 52 slides

Swarm Intelligence (SI) is an artificial intelligence technique inspired by collective behavior in nature, where decentralized agents interact to achieve goals. Swarms are loosely structured groups of interacting agents that exhibit collective behavior. Examples include ant colonies, flocking birds,

2 views • 88 slides

The DNN Inference Optimization Challenge, organized by Liya Yuan from ZTE, focuses on optimizing deep neural network (DNN) models for efficient inference on-device, at the edge, and in the cloud. The challenge addresses the need for high accuracy while minimizing data center consumption and inferenc

0 views • 13 slides

Expert systems are interactive computer-based decision tools that utilize facts and heuristics to solve various problems based on knowledge acquired from experts. This system consists of three main components: User Interface, Inference Engine, and Knowledge Base. The User Interface facilitates commu

3 views • 29 slides

Heuristic evaluation is an analytical method where experts evaluate interfaces based on usability principles. This evaluation helps in identifying potential design issues that may impact user satisfaction. The process involves a small group of evaluators reviewing the interface against a set of reco

5 views • 12 slides

An operating system is the crucial program that manages a computer's resources and acts as an interface between the user and the machine. Various types of operating systems exist, including real-time, multi-user vs. single-user, multi-tasking vs. single-tasking, distributed, and embedded systems. Re

1 views • 11 slides

Discrete Optimization is a field of applied mathematics that uses techniques from combinatorics, graph theory, linear programming, and algorithms to solve optimization problems over discrete structures. This involves creating mathematical models, defining objective functions, decision variables, and

0 views • 12 slides

This study delves into the generalization of Empirical Risk Minimization (ERM) in stochastic convex optimization, focusing on minimizing true objective functions while considering generalization errors. It explores the application of ERM in machine learning and statistics, particularly in supervised

0 views • 11 slides

Web performance optimization is crucial for ensuring fast loading times and enhancing user experience. This article covers various aspects of web performance, including the definition, importance, how a webpage loads, the differences between HTTP 1.1 and HTTP 2.0, and the dual aspects of back-end an

0 views • 23 slides

Explore the world of optimization through convex and general problems, understanding the concepts, constraints, and the difference between convex and non-convex optimization. Discover the significance of local and global optima in solving complex optimization challenges.

0 views • 24 slides

Explore the basic components of optimization problems, such as objective functions, constraints, and global vs. local optima. Learn about single vs. multiple objective functions and constrained vs. unconstrained optimization problems. Dive into the statement of optimization problems and the concept

0 views • 96 slides

Record and manage user details effectively with the new Version 2.0 User Management feature. RNTCP has now registered over 35,000 PHIs, 140,000 Private Health Facilities, 15,000 Private Labs, 31,000 Private Chemists, across 700 Districts and 8,000 TUs in Nikshay. Enhance operations by editing TU pro

0 views • 26 slides

In this study by Mark Bailey et al. from JMP Statistical Discovery in the USA, the focus lies on testing the usability of a new user interface using JMP Custom Design. The researchers highlight the significance of adding factors in the initial experiment design workflow to enhance user experience. U

0 views • 8 slides

Recent research highlights advancements in solving sampling problems in convex optimization, exemplified by works by Yin Tat Lee and Santosh Vempala. The complexity of convex problems, such as the Minimum Cost Flow Problem and Submodular Minimization, are being unraveled through innovative formulas

1 views • 47 slides

In a series of talks, we delve into using the JEDI data assimilation system for forecast models and grids via Model.Space interface classes. Discover the importance of interface classes, the power they hold, and their implementation for specific models. Explore how these classes facilitate code inst

0 views • 30 slides

Optimizing page load performance is crucial for enhancing user experience and increasing revenue. This article delves into the complexities of page load times, identifies common bottlenecks, and explores optimization techniques. Examples and insights from research conducted by WProf shed light on th

0 views • 55 slides

This piece discusses approximation algorithms for stochastic optimization problems, focusing on modeling uncertainty in inputs, adapting to stochastic predictions, and exploring different optimization themes. It covers topics such as weakening the adversary in online stochastic optimization, two-sta

0 views • 33 slides

Efforts by researchers at Microsoft Research Asia and MIT focus on enhancing replay interface efficiency for system debugging. The motivation stems from the non-determinism challenges caused by time, user input, network I/O, and thread interleaving. The study observes that only certain parts of a pr

0 views • 26 slides

The Business Customer Gateway has undergone significant updates with the introduction of a new user interface, style enhancements, payment system improvements, and features like Revocation and Archiving functionalities. Administrators can now manage accounts more effectively and easily track recent

0 views • 15 slides

Human-Computer Interaction (HCI) is a crucial discipline focusing on creating interactive computing systems that are user-friendly and efficient. This involves designing, evaluating, and implementing systems that cater to users' needs, ultimately improving user satisfaction and productivity. The fie

0 views • 39 slides

User interface design principles are crucial in Human-Computer Interaction. This content highlights key principles such as aesthetics, anticipation, autonomy, and color consideration for users with color blindness. It emphasizes the importance of user testing, user autonomy, and providing essential

0 views • 24 slides

User interface design principles play a crucial role in Human-Computer Interaction, emphasizing the importance of aesthetics, anticipation, autonomy, color usage, and consistency in creating effective interfaces. These principles guide designers in crafting interfaces that are visually appealing, us

0 views • 24 slides

Interaction design focuses on creating interactive products that are easy, effective, and enjoyable to use. It aims to reduce negative user experiences while enhancing positive ones. Designing interactive products requires understanding user activities, interfaces, and device arrangements to support

0 views • 11 slides

Real-world design problems often require multi-objective optimization, and the Flower Pollination Algorithm (FPA) developed by Xin-She Yang in 2012 mimics the pollination process of flowering plants to efficiently solve such optimization tasks. FPA has shown promising results in extending to multi-o

0 views • 15 slides

Explore the world of viral marketing and user behavior optimization through stochastic optimal control in the realm of human-centered machine learning. Discover strategies to maximize user activity in social networks by steering behaviors and understanding endogenous and exogenous events. Dive into

0 views • 15 slides

This research presents a hybrid optimization heuristic approach for efficient instruction scheduling in programmable accelerator codesign. It discusses Google's TPU architecture, problem-solving strategies, and computation graph mapping, routing, and timing optimizations. The technique overview high

0 views • 33 slides

An administrator navigates through a user list, selects a user for deletion, confirms the action, and successfully removes the user from the system. The process involves interacting with user details, confirming the deletion, and updating the user list accordingly in a structured manner.

0 views • 4 slides

Explore the fundamental aspects of user interface design, including design elements, user interactions, and conceptual models. Learn about the framework needed for driving customer experience, different design aspects, and the concept of an interface. Discover how to create a high-level metaphor, st

0 views • 24 slides

This presentation discusses the application of machine learning for optimizing EBIS beam intensity and RHIC luminosity. It covers topics such as motivation, EBIS beam intensity optimization, luminosity optimization, and outlines the plan and summary of the project. Collaborators from MSU, LBNL, and

0 views • 23 slides

Bayesian optimization is being used at LCLS to tune the Free Electron Laser (FEL) pulse energy efficiently. The current approach involves a tradeoff between human optimization and numerical optimization methods, with Gaussian processes providing a probabilistic model for tuning strategies. Prior mea

0 views • 16 slides

The evolution of metalearning in the machine learning community is traced from the initial workshop in 1998 to recent developments in hyper-parameter optimization. Challenges in classifier selection and the validity of hyper-parameter optimization claims are discussed, urging the exploration of spec

0 views • 32 slides

Explore the innovative features and customization options of the new A-to-Z list interface for managing academic library resources. Learn about setting up and configuring the interface post its release in June 2017, indexing procedures, documentation, and contact information for support. Enhance use

0 views • 7 slides

Exploring the distinctions between User Interface (UI) and User Experience (UX) in human-computer interaction design. UI focuses on the space of interaction between humans and machines, while UX encompasses users' behavior, attitude, and emotions towards a product or service. The goal is to create i

0 views • 63 slides

Discussing the connection between Artificial Intelligence (AI)/Machine Learning (ML) and Wireless LAN networks, this document explores how AI/ML can improve IEEE 802.11 features, enhance Wi-Fi performance through optimized data sharing, and enable network slicing for diverse application requirements

0 views • 11 slides

Context switching in operating systems involves a seamless transition between user-level threads without the kernel's awareness. User-level code manages register state and stack pointers, while user-kernel mode switching requires changing processor privilege levels and agreement on information excha

0 views • 25 slides

Fast Bayesian Optimization optimizes hyperparameters for machine learning on large datasets efficiently. It involves black-box optimization using Gaussian Processes and acquisition functions. Regular Bayesian Optimization faces challenges with large datasets, but FABOLAS introduces an innovative app

0 views • 12 slides

This presentation delves into the concept of price optimization in the auto insurance industry, covering actuarial, economic, and regulatory aspects. It addresses the controversy surrounding price optimization, various state definitions, concerns, and the use of sophisticated tools to quantify busin

5 views • 29 slides