New digital technologies, from AI-fired 'legal tech' tools to virtual proceedings, are transforming the legal system. But much of the debate surrounding legal tech has zoomed out to a nebulous future of 'robo-judges' and 'robo-lawyers.' This volume is an antidote. Zeroing in on the near- to medium-term, it provides a concrete, empirically minded synthesis of the impact of new digital technologies on litigation and access to justice. How far and fast can legal tech advance given regulatory, organizational, and technological constraints? How will new technologies affect lawyers and litigants, and how should procedural rules adapt? How can technology expand - or curtail - access to justice? And how must judicial administration change to promote healthy technological development and open courthouse doors for all? By engaging these essential questions, this volume helps to map the opportunities and the perils of a rapidly digitizing legal system - and provides grounded advice for a sensible path forward.

Drawing on a wide and rich array of sources, this book explores the nature and extent of Dutch trade and commerce in the Rio de la Plata during three decades of the least-studied century (1650-1750) of Spain's rule in the Americas. In doing so, it raises important questions about trade in colonial South America and how it was impacted by the Dutch, suggesting that these transactions were carried out within the confines of the law, contradicting common beliefs among scholars that this trading was not regulated. The book contributes to a growing literature on contraband trade, administration, networks, and corruption while challenging narratives of exclusively Spanish influence on the Americas.

Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you’ll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike. Learn how machine learning has contributed to the success of modern spam filters Quickly detect anomalies, including breaches, fraud, and impending system failure Conduct malware analysis by extracting useful information from computer binaries Uncover attackers within the network by finding patterns inside datasets Examine how attackers exploit consumer-facing websites and app functionality Translate your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions

"In this clearly written volume, Hawke provides enlightening and colorful descriptions of early Colonial Americans and debunks many widely held assumptions about 17th century settlers."--Publishers Weekly

Over the past decade, the hospitalist model has become a dominant system for the delivery of inpatient care. Forces such as national mandates to improve safety and quality, and intense pressure to safely reduce length of hospital stays, are now exerting pressure on neurologists. To meet these challenges, a new neurohospitalist model is emerging. This is the first authoritative text to detail the advances and strategies for treating neurologic disease in a hospital setting. It includes chapters on specific acute neurologic diseases including stroke, epilepsy, neuromuscular disease and traumatic brain injury and also addresses common reasons for neurologic consultation in the hospital including encephalopathy, electrolyte disturbances and neurologic complications of pregnancy. Ethical and structural issues commonly encountered in neurologic inpatients are also addressed. This will be a key resource for any clinician or trainee caring for neurologic patients in the hospital including practising neurologists, internists and trainees across multiple subspecialities.