Operations Management, Ph.D. - at Graduate School of Economic and Social Sciences, University of Mannheim, Mannheim, Germany - PhDportal.com Procurement Broadly speaking, the research activities at the Endowed Chair of Procurement focus on the understanding – that is describing, explaining, and predicting – of phenomena and mechanisms that are of importance to the field of procurement. The current research thrusts are related to risk and disruptions, interfirm relationships, innovation and entrepreneurship, sustainability, and strategies and performance. The Operations Management programme is delivered by Graduate School of Economic and Social Sciences, University of Mannheim. In these areas, we are particularly interested in research questions that are located at the intersection of procurement and related disciplines (such as logistics, marketing, management, organization, or innovation), because they require the integration of multiple disciplinary bases and theoretical perspectives to craft conceptually adequate models that offer comprehensive answers. Logistics and Supply Chain Management Service Operations
Simply Embedded – Embedded systems from the board up Lesson 9: UART – Simply Embedded An embedded system often requires a means for communicating with the external world for a number of possible reasons. It could be to transferring data to another device, sending and receiving commands, or simply for debugging purposes. One of the most common interfaces used in embedded systems is the universal asynchronous receiver/transmitter (UART). When a board arrives in the hands of the software/firmware team, the first step is typically to get the debug console functional. The debug console is a serial interface which historically is implemented as RS-232 to connect with a PC serial port. It is important to distinguish the difference between the terms UART and RS-232. RS-232 is a point-to-point signalling standard, meaning only two devices can be connected to each other. RS-232 signals are different than than what we are used to in the digital world because the voltage switches between negative and positive values. Universal asynchronous receiver/transmitter (UART) The MSP430 UART
Cyber-Physical Systems - a Concept Map Cyber-Physical Systems (CPS) are integrations of computation, networking, and physical processes. Embedded computers and networks monitor and control the physical processes, with feedback loops where physical processes affect computations and vice versa. The economic and societal potential of such systems is vastly greater than what has been realized, and major investments are being made worldwide to develop the technology. The technology builds on the older (but still very young) discipline of embedded systems, computers and software embedded in devices whose principle mission is not computation, such as cars, toys, medical devices, and scientifi c instruments. Click on icons above for details. As a discipline, CPS is an engineering discipline, focused on technology, with a strong foundation in mathematical abstractions. Online talks about CPS Cyber-Physical Systems: A Rehash or A New Intellectual Challenge? Berkeley CPS Activities Some specific research products relevant to CPS:
Factories of the Future (FoF) - Research & Innovation - Key Enabling Technologies Industrial production accounts for 16% of Europe’s GDP and remains a key driver for innovation, productivity, growth and job creation. In 2009, 31 million persons were employed in the EU manufacturing sector, and each job in manufacturing generates at least an additional job in services. Moreover, nowadays 80% of the EU’s exports are manufactured products. However, Europe’s position as an industrial power house is eroding and its leadership in many important sectors is constantly challenged. In 2008, the Public-Private Partnership (PPP) for Factories of the Future (FoF) was launched under the European Economic Recovery Plan. Under Horizon 2020, the EU Framework Programme for Research and Innovation, for 2014-2020, the new contractual Public-Private Partnership (PPP) on Factories of the Future (FoF) will build on the successes of the FP7 Factories of the Future PPP.
Informatica ++ | Espacio para la comunicación en las áreas de la informática. Research Blog: Using Machine Learning to Explore Neural Network Architecture Posted by Quoc Le & Barret Zoph, Research Scientists, Google Brain team At Google, we have successfully applied deep learning models to many applications, from image recognition to speech recognition to machine translation. Typically, our machine learning models are painstakingly designed by a team of engineers and scientists. This process of manually designing machine learning models is difficult because the search space of all possible models can be combinatorially large — a typical 10-layer network can have ~1010 candidate networks! We’ve applied this approach to two heavily benchmarked datasets in deep learning: image recognition with CIFAR-10 and language modeling with Penn Treebank. The machine-chosen architecture does share some common features with the human design, such as using addition to combine input and previous hidden states.
The case for digital reinvention Digital technology, despite its seeming ubiquity, has only begun to penetrate industries. As it continues its advance, the implications for revenues, profits, and opportunities will be dramatic. As new markets emerge, profit pools shift, and digital technologies pervade more of everyday life, it’s easy to assume that the economy’s digitization is already far advanced. According to our latest research, however, the forces of digital have yet to become fully mainstream. As digitization penetrates more fully, it will dampen revenue and profit growth for some, particularly the bottom quartile of companies, according to our research, while the top quartile captures disproportionate gains. Sidebar About the research These findings emerged from a research effort to understand the nature, extent, and top-management implications of the progress of digitization. More digitization—and performance pressure—ahead Uneven returns on investment Where to make your digital investments On the front foot
Understanding the 4 Types of A.I. The common, and recurring, view of the latest breakthroughs in artificial intelligence research is that sentient and intelligent machines are just on the horizon. Machines understand verbal commands, distinguish pictures, drive cars and play games better than we do. How much longer can it be before they walk among us? The new White House report on artificial intelligence takes an appropriately skeptical view of that dream. It says the next 20 years likely won’t see machines “exhibit broadly-applicable intelligence comparable to or exceeding that of humans,” though it does go on to say that in the coming years, “machines will reach and exceed human performance on more and more tasks.” But its assumptions about how those capabilities will develop missed some important points. As an AI researcher, I’ll admit it was nice to have my own field highlighted at the highest level of American government, but the report focused almost exclusively on what I call “the boring kind of AI.”
Stephen Hawking: This will be the impact of automation and AI on jobs British scientist Prof. Stephen Hawking gives his 'The Origin of the Universe' lecture to a packed hall December 14, 2006 at the Hebrew University of Jerusalem, Israel. Hawking suffers from ALS (Amyotrophic Lateral Sclerosis or Lou Gehrigs disease), which has rendered him quadriplegic, and is able to speak only via a computerized voice synthesizer which is operated by batting his eyelids. David Silverman/Getty Images Artificial intelligence and increasing automation is going to decimate middle class jobs, worsening inequality and risking significant political upheaval, Stephen Hawking has warned. In a column in The Guardian, the world-famous physicist wrote that "the automation of factories has already decimated jobs in traditional manufacturing, and the rise of artificial intelligence is likely to extend this job destruction deep into the middle classes, with only the most caring, creative or supervisory roles remaining."
Future for Work institute » Ayudamos a las organizaciones a tener éxito en un mundo cada vez más complejo The Fourth Industrial Revolution, by Klaus Schwab Ubiquitous, mobile supercomputing. Intelligent robots. Self-driving cars. Neuro-technological brain enhancements. Genetic editing. Professor Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, has been at the centre of global affairs for over four decades. Previous industrial revolutions liberated humankind from animal power, made mass production possible and brought digital capabilities to billions of people. The resulting shifts and disruptions mean that we live in a time of great promise and great peril. However, Schwab also has grave concerns: that organizations might be unable to adapt; governments could fail to employ and regulate new technologies to capture their benefits; shifting power will create important new security concerns; inequality may grow; and societies fragment. The introduction of the book is available in PDF form here. The full book is available in English on Amazon in Kindle and print-on-demand.
Home > Centre for the Fourth Industrial Revolution Our Business PartnersCentre Partners are global companies with the scale and ambition to help chart Fourth Industrial Revolution governance. Partners play a core leadership role in co-designing Centre portoflio(s). They include: Reliance Industries, Salesforce ABB, Accenture, AIFC, Cognite, Deloitte, Deutsche Bank, Dubai Electricity and Water Authority, Eisai, Hitachi, Kaiser Permanente, Koç Holding, Latham & Watkins, McKinsey & Company, Microsoft Corporation, Mitsubishi Chemical Holdings Corporation, Mori Building, NEC Corporation, Palantir Technologies, PingAn Technology, Roland Berger, SAP, Saudi Aramco, Sompo Holdings, Splunk, Inc., Suntory Holdings Ltd., Takeda Pharmaceuticals, Visa Inc. Amazon Web Services,American Heart Association, Baker McKenzie, BBVA, Cyberdyne, Dignity Health, DJI, Gavi, the Vaccine Alliance, HORIBA, Huawei, Hyundai Motor Company, IBM Corporation, IDEO, JD.com, Netflix, NTT Corporation, S&P Global, Sberbank, Uber, Vara Technology, Wipro
Basque country 4.0. Industria inteligente en Euskadi Basque Industry 4.0 abre en Euskadi el debate sobre la cuarta revolución industrial. La Jornada del día 15 de octubre recoge en un mismo foro experiencias, tendencias, estrategia y la ponencia de uno de los expertos en la materia con mayor reconocimiento y experiencia a nivel mundial, Wolfgang Wahlster, quien subrayó el potencial de Euskadi como industria pionera en la materia Arantza Tapia, consejera de Desarrollo Económico y Competitividad abre la jornada presentando las estrategias diseñadas desde el Gobierno Vasco que posibilitan que Euskadi se sume al ‘renacimiento industrial’ por el que abogan potencias mundiales como EE UU, Alemania o el Reino Unido, donde se apuesta por una industria manufacturera que genere competitividad y empleo en el propio país. En Basque Industry 4.0. se presentan y analizan también las principales tendencias que van a potenciar la fabrica 4.0, explicadas por especialistas en cada una de ellas. Wolfgang Wahlster. DFKI GmbH