Welcome, readers to the latest issues of AIoT / IoT Weekly News! Thank you for your interest in Artificial Intelligence, the Internet of Things, and the area in which they overlap called the Artificial Intelligence of Things ( AIoT ). As the world and technology change, these devices are going to be able to think program, reprogram, and adjust in real-time. I'm very excited to see what's ahead!

This past week I was in San Francisco for the 2022 TinyML Summit. It was an amazing event and I learned so much about what is going on in the area of machine learning at the edge. I will be posted my notes and thoughts through Recursive Awesome and other social media channels. Please connect with me on LinkedIn or Twitter to learn more.

The Conversations on AppliedAI Podcast continues! We are publishing new episodes every other week. Please find us and subscribe today!

We have our next Applied AI Meetup this week on Sculpting Data for Machine Learning on April 7th. Register today! If you missed other events, subscribe to our AppliedAI YouTube Page as well!

Finally, I will be speaking on April 6th at the Boler College of Business on the Artificial Intelligence of Things. You can register here.

I hope you enjoy this issue and continue to join me in this journey of exploring and leveraging the power of the Internet of Things and Machine Learning. Enjoy!

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Artificial Intelligence Is Being Used to Digitally Replicate Human Voices

The science behind making machines talk just like humans is very complex, because our speech patterns are so nuanced.

"The voice is not easy to grasp," says Klaus Scherer, emeritus professor of the psychology of emotion at the University of Geneva. "To analyze the voice really requires quite a lot of knowledge about acoustics, vocal mechanisms and physiological aspects. So it is necessarily interdisciplinary, and quite demanding in terms of what you need to master in order to do anything of consequence."

npr.org

DeepMind Scientists Say They Trained an A.I. To Control a Nuclear Fusion Reactor

Scientists at DeepMind have found another real-world application for their artificial intelligence software.

The London-based AI lab, which is owned by Alphabet, announced Wednesday that it has trained an AI system to control and sculpt a superheated plasma inside a nuclear fusion reactor.

cnbc.com

For Truly Ethical AI, Its Research Must Be Independent From Big Tech

We need an independent source of government funding to nourish independent AI research institutes that can be alternatives to the hugely concentrated power of a few large tech companies and the elite universities closely intertwined with them. Only when we change the incentive structure will we see technology that prioritizes the wellbeing of citizens – rather than a continued race to figure out how to kill more people more efficiently, or make the most amount of money for a handful of corporations around the world.

theguardian.com

More Than Words: Using AI to Map How the Brain Understands Sentences

Have you ever wondered why you are able to hear a sentence and understand its meaning – given that the same words in a different order would have an entirely different meaning? New research involving neuroimaging and A.I., describes the complex network within the brain that comprehends the meaning of a spoken sentence.

rochester.edu

Applying Machine Learning to Your IoT Data

Applying Machine Learning to your IoT data is what we do at https://recursiveawesome.com. We specialize in helping companies use video, audio, and sensor data from their products to make better business decisions and improve customer experiences. Contact us today! Let our team help you implement Intelligent Edge and Intelligent Cloud solutions to build smarter products and mobile applications.

recursiveawesome.com

AI Is Quietly Eating up the World's Workforce With Job Automation

The debate around whether AI will automate jobs away is heating up. AI critics claim that these statistical models lack the creativity and intuition of human workers and that they are thus doomed to specific, repetitive tasks. However, this pessimism fundamentally underestimates the power of AI.

venturebeat.com

Inc.: Amazon's New AI Tool Will Launch for the Super Bowl, But It Could Change Much More Than Football

The NFL is unveiling a new measure of quarterbacks' performances within a given game. Called the Passing Score, the metric uses Amazon Web Services' A.I. to assess a quarterback's execution on each play. At the end of the game, the player is graded on a scale of 50 to 99. Priya Ponnapalli, senior manager and principal scientist at the Amazon Machine Learning Solutions Lab, says the tool can have implications beyond the sports world.

inc.com

IEEE Spectrum: AI and Machine Learning Salaries Drop

Overall, 2021 was a good year for tech professionals in the United States, with the average salary up 6.9 percent to US $104,566, according to online recruitment firm Dice. Dice released these numbers last month as part of its annual Tech Salary Report.

ieee.org

Tiny Machine Learning Design Alleviates a Bottleneck in Memory Usage on Internet-of-Things Devices

Machine learning provides powerful tools to researchers to identify and predict patterns and behaviors, as well as learn, optimize, and perform tasks. This ranges from applications like vision systems on autonomous vehicles or social robots to smart thermostats to wearable and mobile devices like smartwatches and apps that can monitor health changes.

mit.edu

DeepHyper: Scalable Neural Architecture and Hyperparameter Search for Deep Neural Networks

DeepHyper is a distributed machine learning (AutoML) package for automating the development of deep neural networks for scientific applications. It can run on a single laptop as well as on 1,000 of nodes.

readthedocs.io