Goto

Collaborating Authors

* to NOW


How Chatbots can Turbo Charge your Business

#artificialintelligence

Have you ever wondered how your business can respond to customers' complaints and resolve issues in the late part of the night? Are you constantly worried about your business not having enough customer support strength? Does your company have a peak sales period, e.g., Black Friday and Cyber Monday, and you do not want to hire additional staff to cater to the workload? What if I told you a single chatbot could solve all your business needs. Chatbots are opening up a new era of business-customer interaction.


Rebuilding our next-gen ML Platform with the best of Spark and Tensorflow

#artificialintelligence

Rue Gilt Groupe is a fashion eCommerce company located in Boston, MA, that has 50M members and daily flash sales on millions of products. Our Data Science team is a tight-knit group of Data Scientists and Machine Learning Engineers who work full-stack on cloud-native architectures to deliver DS and ML services, heavily utilizing Apache Spark and AWS. This post focuses on some recent updates we incorporated into one of our stacks built for big data applications to add support for running the latest and greatest deep learning based algorithms and models. This architecture provides us with the flexibility to pick the right framework at any step of Machine Learning and unlock scalable deep learning pipelines with minimal MLOps code. At the same time, it also provides the flexibility to transition to any MLOps platform without a lot of future ML code changes.


Chatbots: From Alan Turing to our decade.

#artificialintelligence

Chatbots are "online human-computer dialog system[s] with natural language". In simple words, chatbots is a virtual person who can effectively talk to any human being using interactive textual skills. The main idea of chatbots started from Alan Turing, who asked "Can machine think?" in 1950. Let's remember an example of Turing in one section of "Computing Machinery and Intelligence". In this example Turing simulated what the test might look like when human asking questions and an imagined intelligent computer responding.


Evolution of ModelOps: Now a More Advanced Artificial Intelligence

#artificialintelligence

ModelOps is a set of automated practices and tools that help deploy, manage, monitor, and improve models in production. The approach is designed to be model-centric, which means everything is instrumented around the model, from deployment to governance to inference and monitoring to scale. Far and wide, investment in artificial intelligence and machine learning are drastically increasing and new data science projects are underway to build predictive and analytical models for various purposes. However, while companies plan to scale up sophisticated Artificial Intelligence solutions in a reasonable time, the harsh reality is that the adoption of these solutions is often stalled because companies generally focus more on development than on the operationalization of the models. On that note, ModelOps comes to the rescue bringing advancements in AI.


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

#artificialintelligence

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

#artificialintelligence

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

#artificialintelligence

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

#artificialintelligence

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'.