Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
470,101
result(s) for
"Intelligence services"
Sort by:
Healthcare 4.0 : health informatics and precision data management
\"The main aim of Healthcare 4.0: Health Informatics and Precision Data Management is to improve the services given by the healthcare industry and to bring meaningful patient outcomes, Informatics involved by applying the data, information and knowledge in the healthcare domain. The precise focus of this handbook will be on the potential applications and use of data informatics in area of healthcare, including clinical trials, tailored ailment data, patient and ailment record characterization and health records management\"-- Provided by publisher.
BOOK
AI on the edge: a comprehensive review
With the advent of the Internet of Everything, the proliferation of data has put a huge burden on data centers and network bandwidth. To ease the pressure on data centers, edge computing, a new computing paradigm, is gradually gaining attention. Meanwhile, artificial intelligence services based on deep learning are also thriving. However, such intelligent services are usually deployed in data centers, which cause high latency. The combination of edge computing and artificial intelligence provides an effective solution to this problem. This new intelligence paradigm is called edge intelligence. In this paper, we focus on edge training and edge inference, the prior training models using local data at the resource-constrained edge devices. The latter deploying models at the edge devices through model compression and inference acceleration. This paper provides a comprehensive survey of existing architectures, technologies, frameworks and implementations in these two areas, and discusses existing challenges, possible solutions and future directions. We believe that this survey will make more researchers aware of edge intelligence.
Journal Article
Intelligence Analysis for Tomorrow
The intelligence community (IC) plays an essential role in the national security of the United States. Decision makers rely on IC analyses and predictions to reduce uncertainty and to provide warnings about everything from international diplomatic relations to overseas conflicts. In today's complex and rapidly changing world, it is more important than ever that analytic products be accurate and timely. Recognizing that need, the IC has been actively seeking ways to improve its performance and expand its capabilities.
In 2008, the Office of the Director of National Intelligence (ODNI) asked the National Research Council (NRC) to establish a committee to synthesize and assess evidence from the behavioral and social sciences relevant to analytic methods and their potential application for the U.S. intelligence community. In Intelligence Analysis for Tomorrow: Advances from the Behavioral and Social Sciences , the NRC offers the Director of National Intelligence (DNI) recommendations to address many of the IC's challenges.
Intelligence Analysis for Tomorrow asserts that one of the most important things that the IC can learn from the behavioral and social sciences is how to characterize and evaluate its analytic assumptions, methods, technologies, and management practices. Behavioral and social scientific knowledge can help the IC to understand and improve all phases of the analytic cycle: how to recruit, select, train, and motivate analysts; how to master and deploy the most suitable analytic methods; how to organize the day-to-day work of analysts, as individuals and teams; and how to communicate with its customers.
The report makes five broad recommendations which offer practical ways to apply the behavioral and social sciences, which will bring the IC substantial immediate and longer-term benefits with modest costs and minimal disruption.
eBook
Directorate S : the C.I.A. and America's secret wars in Afghanistan and Pakistan
Examines \"America's intelligence, military, and diplomatic efforts to defeat Al Qaeda and the Taliban in Afghanistan and Pakistan since 9/11\"--Amazon.com.
Book
Mission to Mao : US intelligence and the Chinese Communists during World War II
An innovative history of US intelligence officers on the ground and the first official contacts between the United States and the Chinese Communist PartyFrom 1944 to 1947, the United States planted a liaison mission in the headquarters of Chinese Communist forces behind the lines. Nicknamed the \"Dixie Mission,\" for its location in \"rebel\" territory, it was an interagency delegation that included intelligence officers from the Office of Strategic Services (OSS), the US Army, and the State Department.Mission to Mao is a social history of the OSS officers in the field that reveals the weakness of US intelligence diplomacy in the 1940s. Drawing on over 14,000 unpublished records from five archives as well as white papers and memoirs from the participants, Sara B. Castro demonstrates how the US intelligence officers in China clashed with political appointees and Washington over the direction of the US relationship with the Chinese Communists. Interagency and political conflicts erupted over assessments of Communist capabilities and whether or not the mission would later involve operations with the Communists. Castro shows how potential benefits for the war effort were thwarted by politicization, rivalries, and the biases of US intelligence officials. Mission to Mao is a fresh look at US intelligence in WW II China and takes readers beyond the history of \"China Hands\" versus American anticommunists, introducing more nuance.
eBook
Verbal probabilities: Very likely to be somewhat more confusing than numbers
People interpret verbal expressions of probabilities (e.g. 'very likely') in different ways, yet words are commonly preferred to numbers when communicating uncertainty. Simply providing numerical translations alongside reports or text containing verbal probabilities should encourage consistency, but these guidelines are often ignored. In an online experiment with 924 participants, we compared four different formats for presenting verbal probabilities with the numerical guidelines used in the US Intelligence Community Directive (ICD) 203 to see whether any could improve the correspondence between the intended meaning and participants' interpretation ('in-context'). This extends previous work in the domain of climate science. The four experimental conditions we tested were: 1. numerical guidelines bracketed in text, e.g. X is very unlikely (05-20%), 2. click to see the full guidelines table in a new window, 3. numerical guidelines appear in a mouse over tool tip, and 4. no guidelines provided (control). Results indicate that correspondence with the ICD 203 standard is substantially improved only when numerical guidelines are bracketed in text. For this condition, average correspondence was 66%, compared with 32% in the control. We also elicited 'context-free' numerical judgements from participants for each of the seven verbal probability expressions contained in ICD 203 (i.e., we asked participants what range of numbers they, personally, would assign to those expressions), and constructed 'evidence-based lexicons' based on two methods from similar research, 'membership functions' and 'peak values', that reflect our large sample's intuitive translations of the terms. Better aligning the intended and assumed meaning of fuzzy words like 'unlikely' can reduce communication problems between the reporter and receiver of probabilistic information. In turn, this can improve decision making under uncertainty.
Journal Article
AI and chatbots in FinTech : revolutionizing digital experiences and predictive analytics
This is a comprehensive guide to the use of Artificial Intelligence (AI) in the Financial Technology (FinTech) industry. It is comprised of ten chapters, each addressing a specific aspect of AI in FinTech. The reader is introduced to AI in FinTech, including its history and current state and the role of chatbots in FinTech and how they are used to improve customer service. Furthermore, the book explores the business framework of AI-based ChatGPT in FinTech, including the technology behind ChatGPT and how it can be applied to various financial sectors. The book examines the use of predictive analytics and machine learning in FinTech, highlighting how these tools are used to predict customer behavior and improve decision-making. The author delves into how ChatGPT is used to determine buying behavior and discusses the use of machine learning to reshape the digital experience in FinTech.
BOOK
Mission to Mao
An innovative history of US intelligence officers on the
ground and the first official contacts between the United States
and the Chinese Communist Party
From 1944 to 1947, the United States planted a liaison mission
in the headquarters of Chinese Communist forces behind the lines.
Nicknamed the \"Dixie Mission,\" for its location in \"rebel\"
territory, it was an interagency delegation that included
intelligence officers from the Office of Strategic Services (OSS),
the US Army, and the State Department.
Mission to Mao is a social history of the OSS officers
in the field that reveals the weakness of US intelligence diplomacy
in the 1940s. Drawing on over 14,000 unpublished records from five
archives as well as white papers and memoirs from the participants,
Sara B. Castro demonstrates how the US intelligence officers in
China clashed with political appointees and Washington over the
direction of the US relationship with the Chinese Communists.
Interagency and political conflicts erupted over assessments of
Communist capabilities and whether or not the mission would later
involve operations with the Communists. Castro shows how potential
benefits for the war effort were thwarted by politicization,
rivalries, and the biases of US intelligence officials.
Mission to Mao is a fresh look at US intelligence in WW
II China and takes readers beyond the history of \"China Hands\"
versus American anticommunists, introducing more nuance.
eBook