Issue 158 September 14th 2022

Justin Grammens

Welcome Artificial Intelligence and IoT Weekly News Readers! Hope you all have been well and having a great summer.

First, I've got some great news! Our Applied AI group is launching our first ever full-day conference on applications of Artificial Intelligence and Machine Learning on Nov 4th, 2022. As an IoT Weekly News Subscriber, you are entitled to a 50% discount. Just use the discount coupon of iotweeklynews upon checkout. This is an in-person conference with some of the largest names and companies applying AI&ML to business challenges today. We have limited seating so buy your ticket today!

In other news with me, this summer, I've been busy with my workload at my businesses and life, course development with the University of Saint Thomas and speaking at a number of conferences, here and here. I'm also teaching a new graduate course on Machince Learning and IoT which I'm super excited about. Oh, and my Artificial Intelligence Podcast continues to grow!

Please reach out if any of these items I'm teaching and consulting on could be of assistance in your business. I'm always open to a conversation. Hope you enjoy this issue and look forward to connecting with you at the Applied AI 2022 Conference and don't forget to use the iotweeklynews discount code during checkout!

News

The AIoT Revolution: How AI and IoT Are Transforming Our World

While the IoT is still in its infancy, the AIoT represents the next wave of the IoT, where AI is used to turn data into insights and actions. The AIoT has the potential to transform industries and society, and it is already starting to have an impact. This article will explore the principles of AIoT, its benefits, and its current use.

To Clear Deadly Land Mines, Science Turns to Drones and Machine Learning

The primary goal of mines and unexploded cluster munitions is to deny the use of roads and fields to enemy troops and vehicles. The problem is that mines and unexploded cluster munitions don’t “turn off” when a war ends. Instead they remain as a deadly hazard to civilians for decades, sometimes outlasting the very countries who deployed them.

An AI Can Decode Speech From Brain Activity With Surprising Accuracy

Artificial Intelligence can decode words and sentences from brain activity with surprising — but still limited — accuracy. Using only a few seconds of brain activity data, the AI guesses what a person has heard. It lists the correct answer in its top 10 possibilities up to 73 percent of the time, researchers found in a preliminary study.

Artificial Intelligence Created These Images of Iconic Colorado Scenes

Artificial intelligence is making big waves in the world of art, with savvy creators turning to technology to build images like never before. Curious about how Artificial Intelligence would approach building images of Colorado, we plugged a few Centennial State-themed prompts into our AI program.

MIT Sloan News: Why 'the Future of AI Is the Future of Work'

Amid widespread anxiety about automation and machines displacing workers, the idea that technological advances aren’t necessarily driving us toward a jobless future is good news. At the same time, “many in our country are failing to thrive in a labor market that generates plenty of jobs but little economic security,” MIT professors David Autor and David Mindell and principal research scientist Elisabeth Reynolds write in their new book “The Work of the Future: Building Better Jobs in an Age of Intelligent Machines.”

Injecting Fairness Into Machine-Learning Models

If a machine-learning model is trained using an unbalanced dataset, such as one that contains far more images of people with lighter skin than people with darker skin, there is serious risk the model’s predictions will be unfair when it is deployed in the real world.

But this is only one part of the problem. MIT researchers have found that machine-learning models that are popular for image recognition tasks actually encode bias when trained on unbalanced data. This bias within the model is impossible to fix later on, even with state-of-the-art fairness-boosting techniques, and even when retraining the model with a balanced dataset.

It’s Time to Embrace Intelligent IoT

For a great slice of the public, the term artificial intelligence (AI) immediately draws links to pods in the corners of rooms, lying in wait for you to summon them with a “hello,” “hey,” or “Alexa!”

Such a scenario is a prime example of how the AI term can be used to describe a broad range of applications, from a virtual assistant turning on the dining room lights to the processing and analyzing of data points. However, while AI helps the domestic user do menial tasks around the home, enterprise AI is quickly becoming a staple of the technology stack.

How Artificial Intelligence 'Blew up' Tennis

Coaches now have artificial intelligence (AI), where sophisticated software is fed, or trained, with unimaginable amounts of data. The resulting AI can spot patterns that a human would never be able to see. "AI can sniff out areas of significance. Humans do a very bad job at layering data, whereas AI can do it in seconds," says Mr. O'Shannessy.

Sponsor

Applied AI Conference

Join us for a full day of conversation on Artificial Intelligence, Machine Learning, and their applications to our world. Together we will explore all aspects of Artificial Intelligence and its applications in areas such as Healthcare, Retail, Marketing, the Internet of Things, Agriculture, and all aspects from developer tools to applications with Computer Vision, NLP, and Voice with chatbots. Everyone and all skills and interests are welcome!

Business

Machine Learning Breakthroughs Have Sparked the AI Revolution

Up until recently, though, enterprises had no idea how to extract value from this robust dataset. That’s all changing right now.

Breakthroughs in artificial intelligence and machine-learning technology are enabling companies to turn identity data into more personalized, secure, and streamlined user experiences for their customers, employees and partners.

Openai’s New Language AI Improves on GPT-3, but Still Lies and Stereotypes

OpenAI knows its text generators have had their fair share of problems. Now the research company has shifted to a new deep-learning model it says works better to produce “fewer toxic outputs” than GPT-3, its flawed but widely-used system.

Apple Machine Learning Speech Focuses on Benefits for Accessibility

Apple machine learning projects span almost every aspect of the company’s activities, but in a new speech at an AI conference, a senior exec spoke specifically about the benefits of accessibility and health.

Argonne Scientists Use Artificial Intelligence to Improve Airplane Manufacturing

When it comes to manufacturing new lightweight, yet strong components for new passenger jets, scientists are treating the process like trying to brew the most delicious cup of coffee.

By using artificial intelligence (AI) and machine learning, researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory are intelligently and automatically selecting the perfect settings for a different kind of hot brew — the process of friction stir welding, a common ingredient needed to manufacture airplane components.

Design

Meet the Robot That Can Write Poetry and Create Artworks

Ai-Da went on display at the Great Pyramids of Giza in Cairo, Egypt, on October 23, 2021, as part of an exhibition presented by the organization Art D'Egypte in partnership with the Egyptian Ministry of Antiquities and Tourism.

DALL-E Machine Learning Can Now Imagine What Lies Beyond the Frame of Famous Paintings

OpenAI has introduced a new tool for DALL-E, enabling it to imagine a world beyond the confines of a frame. The new tool is called Outpainting and it helps creators extend an image beyond its original border. By using natural language description, users can add new image elements in the style of the original work.

Development

Machine Learning at the Edge: The AI Chip Company Challenging Nvidia and Qualcomm

Today’s demand for real-time data analytics at the edge marks the dawn of a new era in machine learning (ML): edge intelligence. That need for time-sensitive data is, in turn, fueling a massive AI chip market, as companies look to provide ML models at the edge that have less latency and more power efficiency.