The new era of mobile health ushered in by the wide adoption of ubiquitous computing and mobile communications has brought opportunities for governments and companies to rethink their concept of healthcare. Simultaneously, the worldwide urbanization process represents a formidable challenge and attracts attention toward cities that are expected to gather higher populations and provide citizens with services in an efficient and human manner. These two trends have led to the appearance of mobile health and smart cities. In this talk we introduce the new concept of smart health, which is the context-aware complement of mobile health within smart cities. We provide an overview of the main fields of knowledge that are involved in the process of building this new concept. Additionally, we discuss the main challenges and opportunities that s-Health would imply and provide a common ground for further research.
Healthcare focused IOT technology is expected to be a $117 billion market by 2020 (a mere 5 Years out). A remarkable projection that is attracting a lot of big vendor focus as well as startup activity.
The feedback from the HC professionals I interviewed for this talk was that IoT for healthcare has to happen, is already happening, and the scale will be exponential. It will be embraced by the Boomers and Medicare. However, as I’ll get to, there will also be significant resistance from many quarters.
Extending the current Internet and providing connection, communication, and inter-networking between devices and physical objects, or "Things," is a growing trend that is being referred to as the Internet of Things.
“The technologies and solutions that enable integration of real world data and services into the current information networking technologies are often described under the umbrella term of the Internet of Things (IoT)”
In this presentation, Divya introduces IoT and associated trends. Natasha is interested in IoT applications in the domains of smart cities and pollution reporting.
Healthcare focused IOT technology is expected to be a $117 billion market by 2020 (a mere 5 Years out). A remarkable projection that is attracting a lot of big vendor focus as well as startup activity.
The feedback from the HC professionals I interviewed for this talk was that IoT for healthcare has to happen, is already happening, and the scale will be exponential. It will be embraced by the Boomers and Medicare. However, as I’ll get to, there will also be significant resistance from many quarters.
Extending the current Internet and providing connection, communication, and inter-networking between devices and physical objects, or "Things," is a growing trend that is being referred to as the Internet of Things.
“The technologies and solutions that enable integration of real world data and services into the current information networking technologies are often described under the umbrella term of the Internet of Things (IoT)”
In this presentation, Divya introduces IoT and associated trends. Natasha is interested in IoT applications in the domains of smart cities and pollution reporting.
Patient centricity and digital solutionsAhmed Graouch
Beyond product offerings, it also positions Medtech companies to help hospitals and health systems transition to the future of health through services.
The term “digital twin” refers to the digital version of a physical device or process. By bridging the physical and the virtual worlds, data is transmitted seamlessly allowing the virtual entity to exist simultaneously with the physical device or process. Digital twins are emerging as virtual test beds for
possible solutions before they implement physical devices. These computer-based models are fed individual and population data and mimic the electrical and physical properties of an object.
Medical device companies are using this technology to simulate how their devices are being used in the
clinical setting.
In our view of the future of health, radically interoperable data is likely to play a huge role in transforming health care. Data from medical technologies such as wearables, remote monitors, and
sensors will be standardized, stored, updated, and aggregated with other sources of information such as social media platforms, retailers, and electronic health records.
The combined data will create a complete personal profile that physicians and health systems can use to help ensure that
I deliver health services in an appropriate fashion.
Digitalisation Of Healthcare - Towards A Better Future - Free Download E bookkevin brown
Digital health has been around for quite some
time. Advancements in technology, rising
demand for better care, and governments' focus
on improved health economy have contributed
to the digital transformation in the healthcare
sector. Healthcare providers and professionals
are continuously challenged to come up with
innovative and cost-effective ways of providing
effective care and better patient outcomes.
In the past few years, digital technologies
have changed the healthcare landscape into
becoming more patient-centric, with care givers
focusing on engaging patients and improving
their experiences.
According a Deloitte report, global healthcare
spending is estimated to cross US$10 trillion by
2022. As the global healthcare market embraces
digitalisation, innovation has a major role to
play. Healthcare companies have been investing
heavily in digital technologies to drive innovation
and value-based care, while making care giving
more accessible and efficient. Digitalisation results
in better usage of patient data by care givers
enabling them to offer personalised healthcare
to the patients.
Smart Cities and Big Data - Research Presentationannegalang
Research presentation on smart cities (sensor technology) and big data, presented in a graduate course I took on Transmedia Design and Digital Culture.
IoT in Healthcare: How Internet of Things (IoT) is Revolutionizing the Medica...PritiranjanMaharana1
IoT is reinventing the healthcare industry by upgrading the treatment process. It enables healthcare professionals to become more proactive and deliver an advanced set of patient care.
This post overlooks the benefits of IoT and its impact on the healthcare industry.
The Future of Personalized Health Care: Predictive Analytics by @Rock_HealthRock Health
View the archived webinar here: https://www.youtube.com/watch?v=UJak41hIDWc
How can we use new and existing sources of data to deliver better, personalized care? Predictive analytics underlies what has always been conducted by doctors through their training, experience, and decision-making. Dozens of new digital products have hit the market and $1.9B has flowed into the space since 2011—but what does it take for an algorithm to accurately and reliably impact care?
Purchase the report here: https://gumroad.com/l/gzbzV
The increased use of mobile technologies and smart devices in the area of health has caused great impact on the world. Health experts are increasingly taking advantage of the benefits these technologies bring, thus generating a significant improvement in health care in clinical settings and out of them. Likewise, countless ordinary users are being served from the advantages of the MHealth (Mobile Health) applications and E-Health (health care supported by ICT) to improve, help and assist their health.
Applications that have had a major refuge for these users, so intuitive environment. The Internet of things is increasingly
allowing to integrate devices capable of connecting to the Internet and provide information on the state of health of patients and provide information in real time to doctors who assist.
2023 Healthcare Trends: What Leaders Need to Know about the Latest Emerging M...Health Catalyst
The convergence of several significant emerging market and policy trends, namely high inflation, record-low unemployment, a divided Congress, and the end of the COVID-19 public health emergency, has created a unique set of challenges for healthcare organizations. To discuss these trends and their impact on key healthcare issues, such as patient engagement, the migration to value-based care, analytics adoption, the use of alternative care sites, and patient privacy, Health Catalyst's General Counsel, Dan Orenstein, and Vice President of Market Insights, Tim Zenger, will be hosting a discussion. This convergence of trends poses significant challenges for healthcare organizations, and it is important for them to be prepared to address these challenges effectively.
Emerging Trends in Healthcare InnovationGokul Alex
A Point of View on Applying Innovation Incubation and Ecosystem Development to build a business innovation ecosystem in Healthcare sector with specific focus on Service Design and Service Innovation
Presentation of Vishal Gulati (Draper Esprit, Venture Partner; Horizon Discovery Group PLC, Board Director) at the Forum of the BioRegion of Catalonia, organized by Biocat.
Patient centricity and digital solutionsAhmed Graouch
Beyond product offerings, it also positions Medtech companies to help hospitals and health systems transition to the future of health through services.
The term “digital twin” refers to the digital version of a physical device or process. By bridging the physical and the virtual worlds, data is transmitted seamlessly allowing the virtual entity to exist simultaneously with the physical device or process. Digital twins are emerging as virtual test beds for
possible solutions before they implement physical devices. These computer-based models are fed individual and population data and mimic the electrical and physical properties of an object.
Medical device companies are using this technology to simulate how their devices are being used in the
clinical setting.
In our view of the future of health, radically interoperable data is likely to play a huge role in transforming health care. Data from medical technologies such as wearables, remote monitors, and
sensors will be standardized, stored, updated, and aggregated with other sources of information such as social media platforms, retailers, and electronic health records.
The combined data will create a complete personal profile that physicians and health systems can use to help ensure that
I deliver health services in an appropriate fashion.
Digitalisation Of Healthcare - Towards A Better Future - Free Download E bookkevin brown
Digital health has been around for quite some
time. Advancements in technology, rising
demand for better care, and governments' focus
on improved health economy have contributed
to the digital transformation in the healthcare
sector. Healthcare providers and professionals
are continuously challenged to come up with
innovative and cost-effective ways of providing
effective care and better patient outcomes.
In the past few years, digital technologies
have changed the healthcare landscape into
becoming more patient-centric, with care givers
focusing on engaging patients and improving
their experiences.
According a Deloitte report, global healthcare
spending is estimated to cross US$10 trillion by
2022. As the global healthcare market embraces
digitalisation, innovation has a major role to
play. Healthcare companies have been investing
heavily in digital technologies to drive innovation
and value-based care, while making care giving
more accessible and efficient. Digitalisation results
in better usage of patient data by care givers
enabling them to offer personalised healthcare
to the patients.
Smart Cities and Big Data - Research Presentationannegalang
Research presentation on smart cities (sensor technology) and big data, presented in a graduate course I took on Transmedia Design and Digital Culture.
IoT in Healthcare: How Internet of Things (IoT) is Revolutionizing the Medica...PritiranjanMaharana1
IoT is reinventing the healthcare industry by upgrading the treatment process. It enables healthcare professionals to become more proactive and deliver an advanced set of patient care.
This post overlooks the benefits of IoT and its impact on the healthcare industry.
The Future of Personalized Health Care: Predictive Analytics by @Rock_HealthRock Health
View the archived webinar here: https://www.youtube.com/watch?v=UJak41hIDWc
How can we use new and existing sources of data to deliver better, personalized care? Predictive analytics underlies what has always been conducted by doctors through their training, experience, and decision-making. Dozens of new digital products have hit the market and $1.9B has flowed into the space since 2011—but what does it take for an algorithm to accurately and reliably impact care?
Purchase the report here: https://gumroad.com/l/gzbzV
The increased use of mobile technologies and smart devices in the area of health has caused great impact on the world. Health experts are increasingly taking advantage of the benefits these technologies bring, thus generating a significant improvement in health care in clinical settings and out of them. Likewise, countless ordinary users are being served from the advantages of the MHealth (Mobile Health) applications and E-Health (health care supported by ICT) to improve, help and assist their health.
Applications that have had a major refuge for these users, so intuitive environment. The Internet of things is increasingly
allowing to integrate devices capable of connecting to the Internet and provide information on the state of health of patients and provide information in real time to doctors who assist.
2023 Healthcare Trends: What Leaders Need to Know about the Latest Emerging M...Health Catalyst
The convergence of several significant emerging market and policy trends, namely high inflation, record-low unemployment, a divided Congress, and the end of the COVID-19 public health emergency, has created a unique set of challenges for healthcare organizations. To discuss these trends and their impact on key healthcare issues, such as patient engagement, the migration to value-based care, analytics adoption, the use of alternative care sites, and patient privacy, Health Catalyst's General Counsel, Dan Orenstein, and Vice President of Market Insights, Tim Zenger, will be hosting a discussion. This convergence of trends poses significant challenges for healthcare organizations, and it is important for them to be prepared to address these challenges effectively.
Emerging Trends in Healthcare InnovationGokul Alex
A Point of View on Applying Innovation Incubation and Ecosystem Development to build a business innovation ecosystem in Healthcare sector with specific focus on Service Design and Service Innovation
Presentation of Vishal Gulati (Draper Esprit, Venture Partner; Horizon Discovery Group PLC, Board Director) at the Forum of the BioRegion of Catalonia, organized by Biocat.
Wearables sind ein wichtiger Teil der Internet of Things-Bewegung und machen die Technologie für uns hautnah erlebbar. Sie sind so erfolgreich, weil Verbraucher die Uhr oder Brille gleichzeitig als Ausdruck ihrer Persönlichkeit und zur Kommunikation nutzen können. Im ersten Quartal 2014 wurden schon mehr als eine halbe Million Wearable-Devices verkauft.
Describes about Technology, health care trend, design converge to enhance patient care and rules for Smart Hospitals. For more information visit: http://www.transformhealth-it.org/
- HealthTech innovation is disrupting healthcare and its established players
- Technology is driving a new paradigm to create better health care
- Developing markets can leapfrog their healthcare infrastructure limitations
- New opportunities are opening to shape the new paradigm
“Imagine life without the evolution of technology. What kind of life do we have right now??? Technology has been part of our life and it is one of the key ingredient for the survival of mankind to living in a fast-phase environment”
It doesn’t take a degree in environmental science to know that breathing in polluted air during a run isn’t ideal for your health. – Megan Hetzel, Runners World.
It also isn’t a surprise to some that air pollution can be linked to death for at-risk individuals even if they are not exercising. Until recently, air pollution monitoring was limited to a small number of high-performance expensive instrument systems. Now there exists the chance to distribute slightly lower performing but much lower cost and small gas sensing nodes throughout the urban environment. Some of these nodes may be fixed, others may be in consumer devices.
Connected Health & Ambient Assisted Living Symposium 2011CASALA CENTRE
Picture summary of the 2011 Connected Health and Ambient Assisted Living Symposium, hosted by BIoBusiness, CASALA and the Netwell Centre at the Crowne Plaza, Dundalk.
In this presentation, you will receive an overview of the TicSalut Foundation, the Catalon Healthcare System and the integration of health and social care in Catalonia.
Details of the presentation found in link:
http://www-01.ibm.com/software/city-operations/curam-research-institute/curam-roundtable/index.html
The European, Chinese, and United States healthcare markets are a study of contrasts, each of which face a unique set of challenges and issues for their combined 2.4 billion citizens. Despite their differences, there are a number of opportunities for organizations to learn and profit through intercontinental collaboration on their paths to a more connected healthcare ecosystem. Panelists representing the three regions will provide an overview of their country’s unique healthcare landscape and offer a vision for a future of collaboration and progress.
• Brian O'Connor - Chair, European Connected Health Alliance
• Millard Chiang - Chairman, China Connected Health Alliance; Chair, Pegasus Holdings Group
• Julien Venne - Strategic Advisor & European Project Team Leader, European Connected Health Alliance
• David Whitlinger - Executive Director, New York eHealth Collaborative
New York eHealth Collaborative Digital Health Conference
November 18, 2014
Presentation by ACSA CIO Javier Ferrero in the Public Policy Exchange symposium about "Unlocking the Potential of Mobile Health in Europe: Removing Barriers to the Empowerment of Citizens", held in Bruxelles on 20th January 2016. More information at: www.calidadappsalud.com or http://bit.ly/ACSA_en
The digital-patient-is-here - but is healthcare ready?Melvin Lim
Take note of the report
The digital patient is here - but is the care ready?
Healthcare professionals see the possibilities of digital and virtual care solutions, the report shows "The Digital Patient Is Here" from PwC.
El 30 de mayo de 2016 organizamos en la Fundación Ramón Areces un Simposio Internacional sobre 'La oportunidad digital de la sanidad'. En él se analizaron las ventajas que ofrecen las nuevas tecnologías en los nuevos canales asistenciales (teleconsultas, gestión remota de enfermedades crónicas y de salud poblacional, herramientas para el autocuidado). También se vio el impacto que tendrá en este campo la aplicación de la inteligencia artificial, el Internet de las Cosas, el Big Data y la computación en la Nube.
eHealth Ireland & Northern Ireland Connected Health Ecosystem
members of the ECHAlliance International Ecosystem Network
Cross Border Collaboration Projects in Action Alan Connor, mPower Programme Manager, NHS24
Presentation by Andrew Cooper, Innovation Agency: Welcome and introduction at the Escape pain celebration event on Thursday 14th November at Haydock Park Racecourse.
"El álgebra lineal es una herramienta fundamental en muchos campos de la ciencia y la tecnología. Es particularmente importante en la física, la ingeniería, la informática y la estadística. La capacidad de manipular eficientemente grandes cantidades de datos y matrices complejas es esencial en estas áreas para la resolución de problemas y la toma de decisiones.
A priori, puede dar la sensación de que estamos muy lejos del uso del álgebra lineal en nuestro día a día. Sin embargo, algunas técnicas como la descomposición en valores singulares y la regresión lineal para entrenar modelos y hacer predicciones precisas están detrás de la inteligencia artificial y el aprendizaje automático. ¿Te suena ChatGPT? Puede no parecerlo, pero el álgebra lineal también está detrás en algunos de sus procesos. Por este motivo, debemos seguir trabajando en este campo, ya que su importancia seguirá creciendo a medida que se generen y analicen grandes cantidades de datos en el mundo actual.
"
La pandemia de COVID-19 ha supuesto una proliferación de mapas y contramapas. Por ello, organizaciones de la sociedad civil y movimientos sociales han generado sus propias interpretaciones y representaciones de los datos sobre la crisis. Estos también han contribuido a visibilizar aspectos, sujetos y temas que han sido desatendidos o infrarrepresentados en las visualizaciones hegemónicas y dominantes. En este contexto, la presente ponencia se centra en el análisis de los imaginarios sociales relacionados con la elaboración de mapas durante la pandemia. Es decir, trata de indagar en la importancia de los mapas para el activismo digital, las potencialidades que se extraen de esta tecnología y los valores asociados a las visualizaciones creadas con ellos. El objetivo último es reflexionar sobre la vía emergente del activismo de datos, así como sobre la intersección entre los imaginarios sociales y la geografía digital.
Designing RISC-V-based Accelerators for next generation Computers (DRAC) is a 3-year project (2019-2022) funded by the ERDF Operational Program of Catalonia 2014-2020. DRAC will design, verify, implement and fabricate a high performance general purpose processor that will incorporate different accelerators based on the RISC-V technology, with specific applications in the field of post-quantum security, genomics and autonomous navigation. In this talk, we will provide an overview of the main achievements in the DRAC project, including the fabrication of Lagarto, the first RISC-V processor developed in Spain.
This talk will begin introducing the uElectronics section of ESA at ESTEC and the general activities the group is responsible for. Then, it will go through some of the R+D on-going activities that the group is involved with, hand in hand with universities and/or companies. One of the major ones is related to the European rad-hard FPGAs that have been partially founded by ESA for several years and that will be playing a major role in the sector in the upcoming years. It´s also worth talking about the RTL soft IPs that are currently under development and that will allow us to keep on providing the European ecosystem with some key capabilities. The latter will be an overview of RISC-V space hardened on-going activities that might be replacing the current SPARC based processors available for our missions.
El objetivo de esta charla es presentar las últimas novedades incorporadas en la arquitectura ARM y describir las tendencias en la microarquitectura de los procesadores con arquitectura ARM. ARM es una empresa relativamente pequeña en comparación con otros gigantes del sector tecnológico. Sin embargo, la amplia implantación de su arquitectura, siendo ampliamente dominante en algunos sectores, y sus microarquitecturas, hacen que la tecnología ARM ocupe un lugar central en el desarrollo tecnológico del mundo actual. La tecnología ARM está presente prácticamente en todo el espectro tecnológico, desde los dispositivos más sencillos hasta el HPC y Cloud computing, pasando por los smartphones, automoción electrónica de consumo, etc
"Formal verification has been used by computer scientists for decades to prevent
software bugs. However, with a few exceptions, it has not been used by researchers
working in most areas of mathematics (geometry, algebra, analysis, etc.). In this
talk, we will discuss how this has changed in the past few years, and the possible
implications to the future of mathematical research, teaching and communication.
We will focus on the theorem prover Lean and its mathematical library
mathlib, since this is currently the system most widely used by mathematicians.
Lean is a functional programming language and interactive theorem prover based
on dependent type theory, with proof irrelevance and non-cumulative universes.
The mathlib library, open-source and designed as a basis for research level
mathematics, is one of the largest collections of formalized mathematics. It allows
classical reasoning, uses large- and small-scale automation, and is characterized
by its decentralized nature with over 200 contributors, including both computer
scientists and mathematicians."
"Part of the research community thinks that it is still early to tackle the development of quantum software engineering techniques. The reason is that how the quantum computers of the future will look like is still unknown. However, there are some facts that we can affirm today: 1) quantum and classical computers will coexist, each dedicated to the tasks at which they are most efficient. 2) quantum computers will be part of the cloud infrastructure and will be accessible through the Internet. 3) complex software systems will be made up of smaller pieces that will collaborate with each other. 4) some of those pieces will be quantum, therefore the systems of the future will be hybrid. 5) the coexistence and interaction between the components of said hybrid systems will be supported by service composition: quantum services.
This talk analyzes the challenges that the integration of quantum services poses to Service Oriented Computing."
In this talk, after a brief overview of AI concepts in particular Machine Learning (ML) techniques, some of the well-known computer design concepts for high performance and power efficiency are presented. Subsequently, those techniques that have had a promising impact for computing ML algorithms are discussed. Deep learning has emerged as a game changer for many applications in various fields of engineering and medical sciences. Although the primary computation function is matrix vector multiplication, many competing efficient implementations of this primary function have been proposed and put into practice. This talk will review and compare some of those techniques that are used for ML computer design.
Tras una breve introducción a la informática médica y unas pinceladas sobre conceptos prácticos de Inteligencia Artificial (posible definición consensuada, strong VS weak AI y técnicas y métodos comúnmente empleados), el bloque central de la charla muestra ejemplos prácticos (en forma de casos de éxito) de distintos desarrollos llevados a cabo por el grupo de Sistemas Informáticos de Nueva Generación (SING: http//sing-group.org/) en los ámbitos de (i) Informática clínica (InNoCBR, PolyDeep), (ii) Informática para investigación clínica (PathJam, WhichGenes), (iii) bioinformática traslacional (Genómica: ALTER, Proteómica: DPD, BI, BS, Mlibrary, Mass-Up, e integración de datos ÓMICOS: PunDrugs) y (iv) Informática en salud pública (CURMIS4th). Finalmente, se comenta brevemente la importancia que se espera tenga en un futuro inmediato la IA interpretable (XAI, Explainable Artificial Intelligence) y la participación humana (HITL. Human-In-The-Loop). La charla termina con una breve reflexión sobre las lecciones aprendidas por el ponente después de más de 16 años de desarrollo de sistemas inteligentes en el ámbito de la informática médica.
Many emerging applications require methods tailored towards high-speed data acquisition and filtering of streaming data followed by offline event reconstruction and analysis. In this case, the main objective is to relieve the immense pressure on the storage and communication resources within the experimental infrastructure. In other applications, ultra low latency real time analysis is required for autonomous experimental systems and anomaly detection in acquired scientific data in the absence of any prior data model for unknown events. At these data rates, traditional computing approaches cannot carry out even cursory analyses in a time frame necessary to guide experimentation. In this talk, Prof. Ogrenci will present some examples of AI hardware architectures. She will discuss the concept of co-design, which makes the unique needs of an application domain transparent to the hardware design process and present examples from three applications: (1) An in-pixel AI chip built using the HLS methodology; (2) A radiation hardened ASIC chip for quantum systems; (3) An FPGA-based edge computing controller for real-time control of a High Energy Physics experiment.
En esta conferencia se presentará una revisión del concepto de autonomía para robots móviles de campo y la identificación de desafíos para lograr un verdadero sistema autónomo, además de sugerir posibles direcciones de investigación. Los sistemas robóticos inteligentes, por lo general, obtienen conocimiento de sus funciones y del entorno de trabajo en etapa de diseño y desarrollo. Este enfoque no siempre es eficiente, especialmente en entornos semiestructurados y complejos como puede ser el campo de cultivo. Un sistema robótico verdaderamente autónomo debería desarrollar habilidades que le permitan tener éxito en tales entornos sin la necesidad de tener a-priori un conocimiento ontológico del área de trabajo y la definición de un conjunto de tareas o comportamientos predefinidos. Por lo que en esta conferencia se presentarán posibles estrategias basadas en Inteligencia Artificial que permitan perfeccionar las capacidades de navegación de robots móviles y que sean capaces de ofrecer un nivel de autonomía lo suficientemente elevado para poder ejecutar todas las tareas dentro de una misión casa-a-casa (home-to-home).
Quantum computing has become a noteworthy topic in academia and industry. The multinational companies in the world have been obtaining impressive advances in all areas of quantum technology during the last two decades. These companies try to construct real quantum computers in order to exploit their theoretical preferences over today’s classical computers in practical applications. However, they are challenging to build a full-scale quantum computer because of their increased susceptibility to errors due to decoherence and other quantum noise. Therefore, quantum error correction (QEC) and fault-tolerance protocol will be essential for running quantum algorithms on large-scale quantum computers.
The overall effect of noise is modeled in terms of a set of Pauli operators and the identity acting on the physical qubits (bit flip, phase flip and a combination of bit and phase flips). In addition to Pauli errors, there is another error named leakage errors that occur when a qubit leaves the defined computational subspace. As the location of leakage errors is unknown, these can damage even more the quantum computations. Thus, this talk will briefly provide quantum error models.
Los chatbots son un elemento clave en la transformación digital de nuestra sociedad. Están por todas partes: eCommerce, salud digital, asistencia a clientes, turismo,... Pero si habéis usado alguno, probablemente os habrá decepcionado. Lo confieso, la mayoría de los chatbots que existen son muy malos. Y es que no es nada fácil hacer un chatbot que sea realmente útil e inteligente. Un chatbot combina toda la complejidad de la ingeniería de software con la del procesamiento de lenguaje natural. Pensad que muchos chatbots hay que desplegarlos en varios canales (web, telegram, slack,...) y a menudo tienen que utilizar APIs y servicios externos, acceder a bases de datos internas o integrar modelos de lenguaje preentrenados (por ej. detectores de toxicidad), etc. Y el problema no es sólo crear el bot, si no también probarlo y evolucionarlo. En esta charla veremos los mayores desafíos a los que hay que enfrentarse cuando nos encargan un proyecto de desarrollo que incluye un chatbot y qué técnicas y estrategias podemos ir aplicando en función de las necesidades del proyecto, para conseguir, esta vez sí un chatbot que sepa de lo que habla.
Many HPC applications are massively parallel and can benefit from the spatial parallelism offered by reconfigurable logic. While modern memory technologies can offer high bandwidth, designers must craft advanced communication and memory architectures for efficient data movement and on-chip storage. Addressing these challenges requires to combine compiler optimizations, high-level synthesis, and hardware design.
In this talk, I will present challenges, solutions, and trends for generating massively parallel accelerators on FPGA for high-performance computing. These architectures can provide performance comparable to software implementations on high-end processors, and much higher energy efficiency thanks to logic customization.
The main challenge of concurrent software verification has always been in achieving modularity, i.e., the ability to divide and conquer the correctness proofs with the goal of scaling the verification effort. Types are a formal method well-known for its ability to modularize programs, and in the case of dependent types, the ability to modularize and scale complex mathematical proofs.
In this talk I will present our recent work towards reconciling dependent types with shared memory concurrency, with the goal of achieving modular proofs for the latter. Applying the type-theoretic paradigm to concurrency has lead us to view separation logic as a type theory of state, and has motivated novel abstractions for expressing concurrency proofs based on the algebraic structure of a resource and on structure-preserving functions (i.e., morphisms) between resources.
Microarchitectural attacks, such as Spectre and Meltdown, are a class of
security threats that affect almost all modern processors. These attacks exploit the side-effects resulting from processor optimizations to leak sensitive information and compromise a system’s security.
Over the years, a large number of hardware and software mechanisms for
preventing microarchitectural leaks have been proposed. Intuitively, more
defensive mechanisms are less efficient, while more permissive mechanisms may offer more performance but require more defensive programming. Unfortunately, there are no
hardware-software contracts that would turn this intuition into a basis for
principled co-design.
In this talk, we present a framework for specifying hardware/software security
contracts, an abstraction that captures a processor’s security guarantees in a
simple, mechanism-independent manner by specifying which program executions a
microarchitectural attacker can distinguish.
La aparición de vulnerabilidades por la falta de controles de seguridad es una de las causas por las que se demandan nuevos marcos de trabajo que produzcan software seguro de forma predeterminada. En la conferencia se abordará cómo transformar el proceso de desarrollo de software dando la importancia que merece la seguridad desde el inicio del ciclo de vida. Para ello se propone un nuevo modelo de desarrollo – modelo Viewnext-UEx – que incorpora prácticas de seguridad de forma preventiva y sistemática en todas las fases del proceso de ciclo de vida del software. El propósito de este nuevo modelo es anticipar la detección de vulnerabilidades aplicando la seguridad desde las fases más tempranas, a la vez que se optimizan los procesos de construcción del software. Se exponen los resultados de un escenario preventivo, tras la aplicación del modelo Viewnext-UEx, frente al escenario reactivo tradicional de aplicar la seguridad a partir de la fase de testing.
This lecture will address issues of trust in computer systems, artificial intelligence and attacks on these types of systems with practical examples. Artificial Intelligence has gained ground in several areas with different applications scenarios, but in the perspective of this lecture, the fundamental point of the discussion is: what does an artificial intelligence system should do from a security perspective and how does an intelligence system provide results on a given subject? Few people are really concerned about the behavior of these types of systems from a security point of view. If you like machine learning and security, I believe this lecture will show you interesting security problems in artificial intelligence systems.
El uso de energías renovables es clave para cumplir los objetivos de desarrollo sostenible de la Agenda 2030. Entre estas energías, la eólica es la segunda más utilizada debido a su alta eficiencia. Algunos estudios sugieren que la energía eólica será la principal fuente de generación en 2050. Por ello es conveniente seguir investigando en la aplicación de técnicas de control avanzadas en estos sistemas.
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As the world's energy demand rises, so does the amount of renewable energy, particularly wind energy, in the supply. The life cycle of wind farms starting from manufacturing the components to decommission stage involve significant involvement of cost and the application of AI and data analytics are on reducing these costs are limited. With this conference talk, the audience expected to know some of the interesting applications of AI and data analytics on offshore wind. And, also highlight the future challenges and opportunities. This conference could be useful for students, academics and researcher who want to make next career in offshore wind but yet know where to start.
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Author: Robbie Edward Sayers
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(C) 2024 Robbie E. Sayers
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2. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015
Outline
2
• Electronic Health
– Electronic Health definition & basics
– Examples
• Mobile Health
– m-Health definition & basics
– Example: The SIMPATIC Project
• The Smart Health Paradigm
– Smart Cities & Context-Awareness
– SMART HEALTH definition and basics
– Challenges & Opportunities
• A Glimpse of Cognitive Health
– What, Why and When
• Conclusions
3. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015 3
e-Health is an emerging field in the
intersection of medical informatics,
public health and business, referring to
health services and information
delivered or enhanced through the
Internet and related technologies.
(2001)
J Med Internet Res 2001;3(2):e20
Gunter Eysenbach
Electronic Health
Definition & Basics
4. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015 4
• Electronic Health is
clearly a subset of classic
healthcare.
• It is characterised by the
use of Information and
Communication
Technologies (ICT)
Healthcare
Electronic Health
Definition & Basics
e-Health
5. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015 5
One of the most well-known examples of e-Health
are Electronic Health Records
Electronic Health
Examples: Electronic Health Records
6. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015 6
Well-known examples of e-Health
are related to medical imaging:
• Mammography
• Magnetic Resonance (MRI)
• Eco-Doppler
• etc.
Electronic Health
Examples: Medical Imaging
8. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015
Outline
8
• Electronic Health
– Electronic Health definition & basics
– Examples
• Mobile Health
– m-Health definition & basics
– Example: The SIMPATIC Project
• The Smart Health Paradigm
– Smart Cities & Context-Awareness
– SMART HEALTH definition and basics
– Challenges & Opportunities
• A Glimpse of Cognitive Health
– What, Why and When
• Conclusions
9. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015 9
Mobile health can be defined as …
<< emerging mobile communications
and network technologies for
healthcare systems. >>
2006
R. Istepanian, S. Laxminarayan, and C. S. Pattichis, “Preface,”
M-Health: Emerging Mobile Health Systems, Topics in
Biomedical Engineering, Int’l. Book Series, Springer.
Mobile Health
Definition & Basics
Robert Istepanian
10. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015 10
• Also, m-Health could be understood as
the discipline founded on the use of
mobile communication devices in
medicine.
• The delivery of healthcare services via
mobile communication devices
Mobile Health
Definition & Basics
11. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015 11
Health
e-Health
m-Health
Mobile Health
Definition & Basics
• Mobile Health is based on
mobile devices that are
indeed electronic.
• Mobile health is, thus, a
clear subset of electronic
health
• The new intrinsic
characteristics of m-health
are
– Mobility
– (Ubiquity)
12. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015 12
– 4.000 millions of smartphones in the world
– About 30% of mobile phones are smartphones
– They are affordable (from 50€)
– 25% of mobile phones are constantly
connected to the Internet
– More than 9% of Smartphone users have
downloaded health-related apps.
Mobile Health
Definition & Basics
14. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015
Mobile Health
Example: The SIMPATIC Project
14
System for the Autonomous,
Private and Intelligent Monitoring
based on ICTs.
15. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015
Mobile Health – SIMPATIC Project
Dementia: More than a memory loss
15
• About 5.3 million people in the US
experience some form of dementia.
By 2050 the affected population is
projected to triple.
• In the UK, dementia affects about
850,000 people.
• In September 2015, George
McNamara, head of policy at
Alzheimer’s Society, stated that:
http://www.theguardian.com by Dasha Kiper
“Dementia is already the
biggest health challenge
this country faces. It
costs the UK in excess of
£26bn, which equates to
£30,000 a person with
dementia – more than
the cost of either cancer
or heart disease.”
16. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015
Mobile Health- SIMPATIC Project
An m-Health example
• The SIMPATIC Project pays attention to MCI
– MCI: Mild Cognitive Impairments
• Patients with MCI and in initial stages of
dementia might suffer from:
– Disorientation
– Memory loss
– Increase dependency
• Loss of freedom
• Reduced quality of life
20. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015
Collect Patients’ Data
DATA
Learn from them
PATTERNS
Detect
ANOMALIES
• Behavioural changes
• Wandering
Mobile Health- SIMPATIC Project
An m-Health example
21. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015
Outline
21
• Electronic Health
– Electronic Health definition & basics
– Examples
• Mobile Health
– m-Health definition & basics
– Example: The SIMPATIC Project
• The Smart Health Paradigm
– Smart Cities & Context-Awareness
– SMART HEALTH definition and basics
– Challenges & Opportunities
• A Glimpse of Cognitive Health
– What, Why and When
• Conclusions
22. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015
The Smart Health Paradigm
Smart Cities
22
• Smart cities are becoming commonplace.
– Amsterdam (Holland)
– Barcelona (Spain)
– Edmonton (Canada)
– Fort Lauderdale (USA)
– Guadalajara (Mexico)
– Rio de Janeiro (Brazil)
– Trento (Italy)
– Wuxi (China)
– etc…
An architectual rendering of the buildings
that will make up the Ciudad Creativa
Digital (CCD) site, in Guadalajara, Mexico.
http://theinstitute.ieee.org/technology-focus/technology-topic/an-urban-reality-smart-cities
23. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015
The Smart Health Paradigm
Smart Cities - Definition
23
Smart Cities are cities strongly founded
on information and communication
technologies that invest in
– human and social capital to improve the
quality of life of their citizens by
– fostering economic growth,
– participatory governance,
– wise management of resources,
– sustainability, and
– efficient mobility,
– whilst they guarantee the privacy and
security of the citizens.
P. Pérez, A. Martínez,
and A. Solanas,
“Privacy in Smart
Cities -A Case Study of
Smart Public Parking,”
Proc. 3rd Int’l Conf.
PECCS, 2013, pp. 55–
59.
2013
24. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015 24
• Smart Cities provide us with very rich sensing
capabilities to understand the “context” in which
patients are
The Smart Health Paradigm
Context-Aware Health
• The “context” could be defined
as:
<< the environmental states and settings
that either determines an application’s
behaviour or in which an application
event occurs and is interesting to the
user>>
G. Chen and D. Kotz, “A Survey
of Context-Aware Mobile
Computing Research,” tech. rep.
TR2000-381, Dept. of Computer
Science, Dartmouth College,
2000.
25. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015 25
• What if we could have more than mobility data?
• What if we could collect data from the environment?
• What if we could use the smart city context?
The Smart Health Paradigm
Definition & Basics
<< Smart health is the provision
of health services by using the
context-aware network and
sensing infrastructure of smart
cities. >>
Smart
Health
Appears Agusti SOLANAS. et al.,
“Smart Health: A Context-Aware
Health Paradigm within Smart
Cities” IEEE Communications
Magazine. August, 2014
28. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015
The SMART HEALTH Paradigm
Challenges
28
• Smart Health will have to overcome a number
of challenges in order to be a reality:
– Multidisciplinary research
– Security and Privacy
– Sensor integration
– Big data management and Cloud
– Usability and HCI
– Other…
29. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015
The SMART HEALTH Paradigm
Opportunities
29
• The Smart Health paradigm opens the door to
a variety of opportunities for people,
companies and governments:
– Data collection, presentation and analysis
– Prevention of critical incidents
– Effectiveness and environmental assessment
– Engaging patients and families
– Improving policy decisions
– Epidemic control
– Cost savings
33. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015
Outline
33
• Electronic Health
– Electronic Health definition & basics
– Examples
• Mobile Health
– m-Health definition & basics
– Example: The SIMPATIC Project
• The Smart Health Paradigm
– Smart Cities & Context-Awareness
– SMART HEALTH definition and basics
– Challenges & Opportunities
• A Glimpse of Cognitive Health
– What, Why and When
• Conclusions
34. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015
What is Cognitive Healthecare?
34
• Connectivism is the integration of principles explored by
chaos, network, and complexity and self-organization theories.
Learning is a process that occurs within nebulous environments
of shifting core elements – not entirely under the control of the
individual.
• Learning (defined as actionable knowledge) can reside outside
of ourselves (within an organization or a database)
• Learning is focused on connecting specialized information sets,
and the connections that enable us to learn more are more
important than our current state of knowing .
Siemens (2005)
35. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015
What is Cognitive Healthecare?
35
• Cognitive City is “one that learns and adapts its behaviour
based on past experiences and is able to sense, understand and
respond to changes in its environment”.
Mostari et al.(2011)
36. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015
What is Cognitive Healthcare?
36
Behaviourism
Cognitivism
Constructivism
Cities
Healthcare
Connectivism
Smart Cities
Electronic Health
Mobile Health
Cognitive Cities
Smart Health
Cognitive Healthcare
Information and Communication Technologies
37. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015
What is Cognitive Healthecare?
37
• Cognitive Healthcare (c-health) can be defined as
those healthcare services and infrastructures
provided within a context-aware cognitive city, where
the infrastructures are able to adapt to changes in the
environment, learn and make decisions based on
experience and accessible knowledge.
38. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015
Outline
38
• Electronic Health
– Electronic Health definition & basics
– Examples
• Mobile Health
– m-Health definition & basics
– Example: The SIMPATIC Project
• The Smart Health Paradigm
– Smart Cities & Context-Awareness
– SMART HEALTH definition and basics
– Challenges & Opportunities
• A Glimpse of Cognitive Health
– What, Why and When
• Conclusions
39. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015
Conclusions
39
• We have witnessed a clear evolution of the
concept of Healthcare
– Classic Healthcare
– Electronic Healthcare (2001)
– Mobile Healthcare (2006)
– Smart Healthcare (2014)
– Cognitive Healthcare (2015)
40. AGUSTI SOLANAS – agusti.solanas@urv.cat UCM – December 2015
Conclusions
40
• The concept of Smart Health will grow in parallel
with Smart Cities.
– With more sensing capabilities in SC comes more and
diverse Smart Health applications.
• The right steps towards the consolidation of the
idea must be taken NOW.
• More advanced/complex concepts like cognitive
healthcare are still a vision for the future
– But serious and focussed research is also required
NOW