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Hack a Neural Network in just 10 Lines of Code!!!

#artificialintelligence

Hope you are doing well. Hacking a Neural Network is simply fooling a Neural Network. Neural Networks are increasingly being used in various security and moderating systems across different fields. It is very important that they mainatain their integrity across different types of attacks. In this article, I am going to explain how we can modify an image (without changing it too much) to force the Neural Network to mis-classify it (that too with a very high degree of certainity).


AI and simulation tools to fight COVID-19

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In its on-going campaign to reveal the inner workings of the SARS-CoV-2 virus, the U.S. Department of Energy's (DOE) Argonne National Laboratory is leading efforts to couple artificial intelligence (AI) and cutting-edge simulation workflows to better understand biological observations and accelerate drug discovery. Argonne collaborated with academic and commercial research partners to achieve near real-time feedback between simulation and AI approaches to understand how two proteins in the SARS-CoV-2 viral genome, nsp10 and nsp16, interact to help the virus replicate and elude the host's immune system. The team achieved this milestone by coupling two distinct hardware platforms: Cerebras CS-1, a processor-packed silicon wafer deep learning accelerator; and ThetaGPU, an AI- and simulation-enabled extension of the Theta supercomputer, housed at the Argonne Leadership Computing Facility, a DOE Office of Science User Facility. To enable this capability, the team developed Stream-AI-MD, a novel application of the AI method called deep learning to drive adaptive molecular dynamics (MD) simulations in a streaming manner. Data from simulations is streamed from ThetaGPU onto the Cerebras CS-1 platform to simultaneously analyze how the two proteins interact.


What is a 'smart contract' and what is it for?

#artificialintelligence

A ' smart contract', or smart contract, is a tool that years ago was only in the imagination of developers and that is currently a reality. This is a legal agreement between two people or companies and it is executed by itself using a computer program, so it does not need an intermediary. According to the study What are smart contracts on blockchain? Carried out by IBM, these types of contracts are similar to traditional ones in terms of content, the difference is that the terms between seller and buyer are encoded in computer language, so the conditions are stored and transferred using blockchain or chain of blocks. With this they automate and facilitate the execution of the terms.


Artificial intelligence, the greatest revolution in human history

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Artificial intelligence, or artificial intelligence, is a subdivision of computer science that deals with intelligence (or understanding), learning, and adaptation. According to Dr. Ray Cruzwell, a world-renowned visionary, the world will enter a phase by 2045, when machines will become more intelligent than humans in intelligence and innovation. Croswell is a fortune-teller whose 86 percent predictions have come true in the past. Croswell says that artificial intelligence will connect our brains to electronic circuits, which will be much better than physical cells. By the 2030s, we will also be able to replicate the human brain and consciousness through electronic media.


Artificial Intelligence Has Negatives and Positives

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Artificial intelligence has always been an intriguing concept, from the works of Isaac Asimov to the initial work at Dartmouth College in the 1950s. Nowadays, many of the technologies that we rely on each day incorporate some version of artificial intelligence… and more progress is made each day. Of course, for all its benefits, artificial intelligence can also create some problems for businesses. Let's explore these advantages and disadvantages, shall we? Artificial intelligence is more or less what it sounds like. Rather than having a computer system that relies on human input and foresight, artificially intelligent systems are trained to recognize patterns and potential outcomes in data and are given the prerogative to act on the insights it gleans, improving its success record over time as it does so.


Imagine You Are Living In The Age of Singularity

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We are living through historically significant times. Technological changes are so significant and accelerated that our linear minds have difficulty grasping the non-linearity of the situation. We are living in exponential times -- it looks like our human civilization is running towards'singularity'.


Decision Tree -- Explained

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In this blog we are going to talk about decision tree algorithm. Yeah, you read it right. It is a tree, or it looks like a tree (upside down tree) which helps to take decision. How come a tree helps us to take decision? So how do we take any decision?


10 Machine Learning Methods that Every Data Scientist Should Know

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Machine learning is a hot topic in research and industry, with new methodologies developed all the time. The speed and complexity of the field makes keeping up with new techniques difficult even for experts -- and potentially overwhelming for beginners. To demystify machine learning and to offer a learning path for those who are new to the core concepts, let's look at ten different methods, including simple descriptions, visualizations, and examples for each one. A machine learning algorithm, also called model, is a mathematical expression that represents data in the context of a problem, often a business problem. The aim is to go from data to insight.


Bayesian Hyperparameter Optimization with tune-sklearn in PyCaret

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In this post, I will show you how easy it is to use other state-of-the-art algorithms with PyCaret thanks to tune-sklearn, a drop-in replacement for scikit-learn's model selection module with cutting edge hyperparameter tuning techniques. I'll also report results from a series of benchmarks, showing how tune-sklearn is able to easily improve classification model performance. Hyperparameter optimization algorithms can vary greatly in efficiency. Random search has been a machine learning staple and for a good reason: it's easy to implement, understand and gives good results in reasonable time. However, as the name implies, it is completely random -- a lot of time can be spent on evaluating bad configurations.


AI writes on 'Search Engine'

#artificialintelligence

Search Engines is a software system that helps to carry out web searches. They search the World Wide Web in a systematic way for particular information specified by users, such as a list of web sites, news stories, a map, a directory listing or a biography of a celebrity. They are web search engines that search using a spider to systematically index the content of web sites. The term "search engine" can be used for the software system, the service that delivers web content, or both. In recent years, search engine optimization (SEO) has become a very popular way for web site owners to attract more traffic to their web sites.