provide the right environment and incentives so our fellows can focus on learning and coding AI during intense work sessions. Together with our activities and support, we transform such focus into an active community. Pair-Programming The key to our courses are our alumni, their motivation and their ability to help each other. We match them according to their goals and ensure that they work together to push their projects beyond their comfort zone. Learn By Doing The AI scientist mindset is forged by combining the theoretical lessons and building open-source projects, which enables our students to implement and test end-to-end AI apps with real customers.
methods to enable machines to improve with experience, without being explicitly programmed. Deep Learning is a subfield of machine learning concerned with algorihms inspired by the structure and function of the brain called artificial neural networks” (the computer can learn complicated tasks as image recognition) Machine Learning and Deep Learning?
have been 228,482 and by 2035 it is estimated that there will be 315,413 new cases of cancer The most diagnosed tumors remain colorectal, prostate, lung, breast, bladder and stomach. source: SEOM, Jan 2018 In 2018, an estimated 1,735,350 new cases of cancer will be diagnosed in the United States and 609,640 people will die from the disease. source: https://www.cancer.gov/ Built successful AI systems for healthcare Improving Health Treatment with Doctors Review million of cases (Doctors only thousands)
(Diagnostic) Data Set source:https://www.kaggle.com/uciml/breast-cancer-wisconsin-data 1. The characteristics are calculated from a digitalized image of a fine needle aspiration (FNA) of a breast mass 2. Class distribution: 357 benign, 212 malignant 3. Y=Diagnosis 4. X=radius, texture, perimeter, smoothness, compactness, concave points, symmetry, fractal dimension
-National Institute of Diabetes and Digestive and Kidney Diseases (india) -All the patients here are women of at least 21 years of the Pima Indian heritage. -Predict the diagnostic form and the patient has diabetes or not x=Pregnancies, Glucose, Bood PBMI, insulin level, age,skin y= outcome 0 or 1
of heartbeat signals -Deep neural network -make predictions with the average accuracies of 93.4% and 95.9% on arrhythmia classification and MI classification
been installed with AI technology in China • Such technology can be used to identify a person's age, gender and clothes • Police can track down criminals using facial recognition and their database https://www.dailymail.co.uk/news/article-4918342/China-installs-20-million-AI-equipped-street-cameras.html
de borrador (junio 2016) y un informe razonado (febrero 2017) ha aprobado un informe sobre Robótica en el que se establece un Código Ético de Conducta. Los principios sancionados por el Parlamento Europeo 1. Proteger a los humanos del daño causado por robots: la dignidad humana. 2. Respetar el rechazo a ser cuidado por un robot. 3. Proteger la libertad humana frente a los robots. 4. Proteger la privacidad y el uso de datos: especialmente cuando avancen los coches autónomos, los drones, los asistentes personales o los robots de seguridad. 5. Protección de la humanidad ante el riesgo de manipulación por parte de los robots: Especialmente en ciertos colectivos –ancianos, niños, dependientes- que puedan generar una empatía artificial. 6. Evitar la disolución de los lazos sociales haciendo que los robots monopolizan, en un cierto sentido, las relaciones de determinados grupos. 7. Igualdad de acceso al progreso en robótica: Al igual que la brecha digital, la brecha robótica puede ser esencial. 8. Restricción del acceso a tecnologías de mejora regulando la idea del transhumanismo y la búsqueda de mejoras físicas y/o mentales.
da el placer que se encuentra en el alma como esencia, si se desarrolla (ser bueno y feliz) el hombre alcanza el placer… Philosophy of AI on Saturdays Nosotro somos felices democratizando el conocimiento del AI, nosotros queremos que puede ayudar el progreso científico, social y tecnológico.
creating a tool that helps to generate online content that is less offensive and that shows special to sexist and racist, proof of concept combining a RNN and a LSTM network. Authors: Irene Font Perajordi, Nora Lama and David Collado
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