Turing Natural Language Generation (T-NLG) is a 17 billion parameter language model by Microsoft that outperforms the state of the art on many downstream NLP tasks. We present a demo of the model, including its freeform generation, question answering, and summarization capabilities, to academics for feedback and research purposes.
Turing-NLG: A 17-billion-parameter language model by Microsoft Leer más »
Cybersecurity attacks are growing both in frequency and sophistication over the years. This increasing sophistication and complexity call for more advancement and continuous innovation in defensive strategies. Traditional methods of intrusion detection and deep packet inspection, while still largely used
and recommended, are no longer sufficient to meet the demands of growing security threats.
Cyber Attack Detection thanks to Machine Learning Algorithms Leer más »
The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free. (“Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” ―Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX).
This book is a guide to practical data mining, collective intelligence, and building recommendation systems by Ron Zacharski (Zen Buddhist monk and computational linguist).
The combined impact of new computing resources and techniques with an increasing avalanche of large datasets, is transforming many research areas and may lead to technological breakthroughs that can be used by billions of people. In the recent years, Machine Learning and especially its subfield Deep Learning have seen impressive advances. Techniques developed within these two fields are now able to analyze and learn from huge amounts of real world examples in a disparate formats. While the number of Machine Learning algorithms is extensive and growing, their implementations through frameworks and libraries is also extensive and growing too.
This book is all about applying machine learning solutions for real practical use cases. This means the core focus is on outlining how to use machine learning in a simple way so you can benefit of this powerful technology.
Machine learning is an exciting and powerful technology. The continuous use and growth of machine learning technology opens new opportunities. This great technology should available to use for everyone. This means that everyone should be able to learn, play and create great applications using machine learning technology.
Free and Open Machine Learning Documentation Release 1.0.1 Leer más »
El panel de Davos, organizado por el CEO de IBM, Ginni Rometty, explora la regulación de precisión de la inteligencia artificial y la tecnología emergente. El evento lanza formalmente IBM Policy Lab, un nuevo foro para promover recomendaciones de políticas audaces y viables para una sociedad digital y fomentar la confianza en la innovación.
El Ministerio holandés de Asuntos Exteriores ha encargado este estudio para generar conocimiento sobre la interfaz entre el derecho comercial internacional y las normas europeas y valores en el uso de la inteligencia artificial. El estudio hace una serie de hallazgos significativos.
Escrita para profesionales de experiencia de usuario (UX) y gerentes de producto como una forma de ayudar a crear un enfoque centrado en el ser humano para la IA en sus equipos de producto.
People + AI Guidebook by Google Leer más »
Usando el modelo, en sus conclusiones, los autores señalan que las nuevas proteínas SNARE pueden identificarse con precisión y usarse para el desarrollo de fármacos. Y tratándose de enfermedades como las neurodegenerativas, mentales y el cáncer podemos y debemos interesarnos por este trabajo aplicado al campo de la bioinformática computacional, la minería de datos y el Machine Learning.
Células y proteínas: el modelo SNARE-CNN (red neuronal convolucional 2D) Leer más »