Can’t afford Artificial Intelligence for your Small Business? Think Again.

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The market for Artificial intelligence (AI) solutions has grown 54% year over year in 2020 to a $22.6 Billion market size in the United States alone. No longer considered futuristic, AI is here to stay. AI is applicable to almost every business function.

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NASA’s Perseverance Rover Lands on Mars: Here’s How It Is Using AI

Mars Perseverance

After its ambitious Feb. 18 landing on Mars, NASA’s Perseverance Mars rover is already getting critical help from the multiple onboard AI systems that are designed to guide its two-year exploratory mission on the red planet.
Perseverance successfully completed its 293-million-mile voyage from Earth to Mars and landed safely on the Martian surface at 3:55 p.m. EST Thursday.

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Google’s Model Search automatically optimizes and identifies AI models

Google Building

Google today announced the release of Model Search, an open source platform designed to help researchers develop machine learning models efficiently and automatically. Instead of focusing on a specific domain, Google says that Model Search is domain-agnostic, making it capable of finding a model architecture that fits a dataset and problem while minimizing coding time and compute resources.

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Introducing Model Search: An Open Source Platform for Finding Optimal ML Models

Google Model Search

he success of a neural network (NN) often depends on how well it can generalize to various tasks. However, designing NNs that can generalize well is challenging because the research community’s understanding of how a neural network generalizes is currently somewhat limited: What does the appropriate neural network look like for a given problem? How deep should it be? Which types of layers should be used? Would LSTMs be enough or would Transformer layers be better? Or maybe a combination of the two? Would ensembling or distillation boost performance? These tricky questions are made even more challenging when considering machine learning (ML) domains where there may exist better intuition and deeper understanding than others.

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Biotech company combines Single Cell Genomics with Machine Learning

Immunai

Immunai is a biotech company using machine learning algorithms that combine single-cell genomics to empower the human immune system’s high-resolution profiling. Based out of New York, this company was established merely three years ago, but it is growing at a breakneck pace with the largest dataset in the world for single-cell immunity characteristics.

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We need Ethical Artificial Intelligence

Robotic Process Automation (RPA), Insights: The Productivity Step

The diverse use cases for AI raise ethical and moral questions about how technology is used in a fair and just manner. Artificial intelligence (AI) is doing what the tech-world Cassandras have been predicting for some time: It is sending out curve balls, leaving a trail of misadventures and tricky questions around the ethics of using synthetic intelligence. Sometimes, spotting and understanding the dilemmas AI presents is easy, but often it is difficult to pin down the exact nature of the ethical questions it raises.

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Is Google’s AI research about to implode?

Platform game

What does Timnit Gebru’s firing and the recent papers coming out of Google tell us about the state of research at the world’s biggest AI research department. The high point for Google’s research in to Artifical Intelligence may well turn out to be the 19th of October 2017. This was the date that David Silver and his co-workers at DeepMind published a report, in the journal Nature, showing how their deep-learning algorithm AlphaGo Zero was a better Go player than not only the best human in the world, but all other Go-playing computers.

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Data Driven Marketing — What it is, benefits and the future?

Data driven marketing

Data driven marketing is a process by which marketers gain insights and trends based on in-depth analysis informed by numbers. Big Data, machine learning, advanced algorithms and artificial intelligence are rapidly transforming the marketing industry. With data and analytical tools, brands can make more informed decisions about their digital strategy that will help give them a grip over their competition.

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Maximizing ROI for ML, Decision Management, and RPA

ROI Model

Early in developing a machine learning project, it is tempting to focus primarily on building the model. Faith is placed in the notion that if the model is accurate, the other details will fall into place. This neglects the most crucial fact of all — the model is created to be used in the real world. The return on your AI investment can only be achieved when people use your model.

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Multidimensional multi-sensor time-series data analysis framework

Multidimensional multi-sensor time-series data analysis framework. In this blog post, I will take you through my package “msda” useful for time-series sensor data analysis. A quick introduction about time-series data is also provided. The demo notebook can be found on here. One of the specific use case applications focused on “Unsupervised Feature Selection” using the package can be found in the blog post here.

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