In this webinar, Professor Dan Boneh discusses recent work at the intersection of cybersecurity and machine learning. Specifically, he explores an area known as “adversarial machine learning” which looks at the stability of machine learning models in the presence of adversarial behavior.

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/2Z3aQ0f

#artificialintelligence #machinelearning

Use words and images to generate new videos out of existing ones.

Realistically and consistently synthesize new videos by applying the composition and style of an image or text prompt to the structure of your source video. It's like filming something new, without filming anything at all. No lights. No cameras. All action.

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Use this prompt to have Chat GPT magically create a months worth of social media posts for your business.

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🔥Edureka Cyber Security Course: https://www.edureka.co/cyberse....curity-certification
This Edureka video gives an introduction to Network Security and its nuances. It discusses the need of network security, tools for network security and various other fundamental concepts.

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About Edureka Cyber Security Training

Cybersecurity is the combination of processes, practices, and technologies designed to protect networks, computers, programs, data and information from attack, damage or unauthorized access.

Edureka’s Cybersecurity Certification Course will help you in learning about the basic concepts of Cybersecurity along with the methodologies that must be practiced ensuring information security of an organization. Starting from the Ground level Security Essentials, this course will lead you through Cryptography, Computer Networks & Security, Application Security, Data & Endpoint Security, idAM (Identity & Access Management), Cloud Security, Cyber-Attacks and various security practices for businesses.

------------------------------------------------

Why Learn Cyber Security?

Cybersecurity is the gathering of advances that procedures and practices expected to ensure systems, PCs, projects and information from assault, harm or unapproved get to. In a processing setting, security incorporates both cybersecurity and physical security, it is imperative since cyberattackers can without much of a stretch take and obliterate the profoundly grouped data of governments, defense offices and banks for which the results are huge so it is essential to have an appropriate innovation which an avoid digital wrongdoings.

---------------------------------------------------

Who Should go for this Training?

Anyone having the zeal to learn innovative technologies can take up this course. Especially, students and professionals aspiring to make a career in the Cybersecurity technology. However, Cybersecurity Certification Course is best suited for the below mentioned profiles:-
Networking Professionals
Linux Administrators
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🔥 Post Graduate Diploma in Artificial Intelligence by E&ICT Academy
NIT Warangal: https://www.edureka.co/executi....ve-programs/machine-
This Edureka video on Advanced Python tutorial covers all the important aspects of using Python for advanced use-cases and purposes. It establishes all of the concepts like system programming ,shell programming, pipes and forking to show how wide of a spectrum Python offers to the developers.

Python Tutorial Playlist: https://goo.gl/WsBpKe
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#AdvancedPython #AdvancedPythonTutorial #PythonTutorial #SystemProgramming #AdvancedConcepts #Edureka

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1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!

- - - - - - - - - - - - - - - - -

About the Course

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in Python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in Python programming language to enhance your learning experience.

After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in future, living the present

- - - - - - - - - - - - - - - - - - -

Why learn Machine Learning with Python?

Data Science is a set of techniques that enable the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.

For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).

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Music: Piano Concerto No. 21 in C major, K.467 - Andante - Mozart

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Ilya Sutskever, one of the leading AI scientists behind ChatGPT, reflects on his founding vision and values. In conversations with the film-maker Tonje Hessen Schei as he was developing the chat language model between 2016 and 2019, he describes his personal philosophy and makes startling predictions for a technology already shaping our world. Reflecting on his ideas today, amid a global debate over safety and regulation, we consider the opportunities as well as the consequences of AI technology. Ilya discusses his ultimate goal of artificial general intelligence (AGI), ‘a computer system that can do any job or task that a human does, but better’, and questions whether the AGI arms race will be good or bad for humanity.

These filmed interviews with Ilya Sutskever are part of a feature-length documentary on artificial intelligence, called iHuman

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#IlyaSutskever #ChatGPT #ArtificialIntelligence #AGI #OpenAI #Documentary

A todos les gusta el flujo laminar pero el flujo turbulento es realmente fascinante.
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Un agradecimiento especial a:
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Destin de Smarter Every Day https://www.youtube.com/smartereveryday
Nicole Sharp de la FYFD https://ve42.co/fyfd
Simulaciones de turbulencias de Pavol Dobryakov: https://paveldogreat.github.io..../WebGL-Fluid-Simulat

Me introduje en el flujo turbulento a través del caos. La transición a la turbulencia a veces implica un período de duplicación. La turbulencia en sí misma es un movimiento caótico, es impredecible y sensiblemente dependiente de las condiciones iniciales. Lo que me sorprendió es todas las formas en que el flujo turbulento nos es útil. Es difusivo, lo que significa que favorece que las cosas se mezclen. Esto es útil en los motores a reacción o en las toberas de los cohetes (que estudia Destin) y es importante conseguirlo en los dispositivos microfluídicos, que son tan pequeños que el flujo turbulento es realmente difícil de conseguir. El flujo turbulento puede energizar una capa límite, lo que es importante para mantener el flujo sobre un ala, manteniendo la sustentación y retrasando la pérdida. De manera similar, una capa límite turbulenta sobre una pelota de golf reduce la resistencia a la presión permitiendo que las pelotas de golf vuelen más lejos. Esta es la razón de los hoyos en las pelotas de golf. Este hermoso fenómeno puede verse en la calle de vórtices de von Kàrmàn en las nubes vistas desde el espacio. La turbulencia está en todas partes, en las corrientes de aire de una habitación, en la aorta, en las respiraciones que exhalamos, en los oleoductos y tuberías de agua, en el flujo sobre coches, barcos y aviones. Los animales han evolucionado para ello (como los peces muertos nadando río arriba) y hemos diseñado nuestro entorno, nuestros aviones y bolas de golf para ello. El flujo laminar puede ser agradable de ver (por eso lo usamos en fuentes decorativas) pero el flujo turbulento da el verdadero impulso.

Animaciones de:
Jonny Hyman (Sol, Júpiter, Reynolds, aerodinámica, lapso de tiempo de la Tierra)

Investigación y escritura:
AJ Fillo y Derek Muller. AJ también creó los tiros de pelota de golf del túnel del viento

Filmado por:
Daniel Bydlowski y Derek Muller

Material adicional:
Imágenes de Júpiter cortesía de la NASA
Turbulencia en las corrientes de aire por la Chica de la Física, Dan Walsh, y Grant Sanderson https://youtu.be/N7d_RWyOv20
https://youtu.be/_UoTTq651dE

La música:
illBird "Shaffuru" https://youtu.be/5rkt53fNMgc
De EpidemicSound https://epidemicsound.com "Seaweed" "Colorful Animation 4”
Kevin MacLeod https://incompetech.com "Sneaky Adventure"
Video en Inglés del Canal @veritasium :https://youtu.be/5zI9sG3pjVU
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