Bøger af Alex Pentland

This is the Spanish translation of "Honest signals", by Alex Pentland. Los grupos de animales toman decisiones conjuntas, comunicándose entre ellos mucha información por medio de actitudes, sonidos, gestos... cuando los humanos evolucionamos hasta emplear el lenguaje para compartir información, este otro sistema de comunicación social no desapareció. Las investigaciones del profesor Pentland demuestran no solo su existencia, sino también que este tipo de información tiene tanto valor para nosotros que incluso prevalece sobre la información lingüística, aunque no seamos conscientes de ella. Este libro cuenta cómo el MIT ha desarrollado herramientas y métodos para medir estas señales y convertirlas en información manejable. Con ella pueden establecerse patrones de comportamiento y predecirse conductas individuales y de grupos. Señales honestas es el resultado de una disciplina nueva y emergente, llamada ciencia de las redes, que intenta entender a las personas en el contexto de sus redes sociales en lugar de considerarlas como individuos aislados. Tal vez la consciencia no sea tan importante como tendemos a creer. Quizá necesitemos reexaminar nuestras suposiciones sobre el rol que juegan tanto las fuerzas conscientes como las inconscientes en la configuración de nuestras conductas cotidianas. La información de nuestros sociómetros apoya la idea de que gran parte de la conducta humana es automática o está determinada por procesos inconscientes.

Financial technology innovation has exploded in the popular consciousness, and promises a radical transformation of the global financial services industry. Over $20 billion is expected to be invested in fintech projects in 2016. How can executives, investors, and entrepreneurs make sense of the new inventions that are driving this change? MIT Professor Alex "Sandy" Pentland, called by Forbes one of the seven most powerful data scientists on the planet, is joined by fintech intrapreneur and educator David Shrier in curating an exploration of several major trends and technologies that are changing the face of financial services. Coauthors include Deven Sharma, the former President of S&P, and Alex Lipton, the former head of quantitative analytics for Bank of America Merrill Lynch. From blockchain to artificial intelligence, this series of articles helps the reader grapple with this exciting area of technology innovation.

How to empower people and communities with user-centric data ownership, transparent and accountable algorithms, and secure digital transaction systems.  Data is now central to the economy, government, and health systems—so why are data and the AI systems that interpret the data in the hands of so few people? Building the New Economy calls for us to reinvent the ways that data and artificial intelligence are used in civic and government systems. Arguing that we need to think about data as a new type of capital, the authors show that the use of data trusts and distributed ledgers can empower people and communities with user-centric data ownership, transparent and accountable algorithms, machine learning fairness principles and methodologies, and secure digital transaction systems.   It’s well known that social media generate disinformation and that mobile phone tracking apps threaten privacy. But these same technologies may also enable the creation of more agile systems in which power and decision-making are distributed among stakeholders rather than concentrated in a few hands. Offering both big ideas and detailed blueprints, the authors describe such key building blocks as data cooperatives, tokenized funding mechanisms, and tradecoin architecture. They also discuss technical issues, including how to build an ecosystem of trusted data, the implementation of digital currencies, and interoperability, and consider the evolution of computational law systems. 

This book offers a comprehensive analysis of the theory and tools needed for the development of an efficient and robust infrastructure for the design of collaborative patrolling unmanned aerial vehicle (UAV) swarms, focusing on its applications for tactical intelligence drones.