What we're about

AppliedAI is a monthly meetup and podcast (https://podcast.appliedai.mn) that develops Minnesota’s next generation of experts by educating citizens of all ages in the tools, processes, and applications that are needed to implement solutions that use Artificial Intelligence (AI). The organization runs regular events that involve training, learning and sharing real-world projects where AI is applied to solve problems that impact our lives.

Additionally, we encourage you to subscribe to our Conversation On Applied AI Podcast (https://podcast.appliedai.mn) . We publish new episodes every other week on topics related to Artificial Intelligence and its applications!

Applied AI transitioned from IoTFuse in February 2020. IoTFuse continues to run conferences around the metro area.

What is Artificial Intelligence

In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans. Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.[1] Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving".

What is AppliedAI?

Simple. :) It's the real-world applications that these far fetched, big ideas lead to. Some things aroud us that are applications of AI include digital assistants (Google Home, Alexa), self-driving cars, robots, chatbots and many many more!

Who should go AppliedAI Meetups?

This group is a place for anyone who is interesting in learning, sharing and applying Artificial Intelligence to their products and services. It's also for people of all ages just interested in what's going on in the AI space by networking and talking with real-world practitioners of this exciting and new technology.

What happens at AppliedAI Meetups?

• We have speakers and panelists talking about AI in real-world scenarios

• We do demos of AI related projects and explain how they work

• We discuss, where AI has been, where it is today and where it's heading in the future

• We have fun!

Where else can I find you?

Follow us on social media!

Facebook, LinkedIN and Twitter

What are the colors of your logo?

They are derived from the color palette of a few of the first ever AI-generated photos from Google’s Deep Learning tool.

Upcoming events (2)

AI and the IP Landscape

Online event

Ryan Phelan, J.D., MBA, a registered patent attorney, will be speaking on AI and the IP Landscape - a topic he's also written an in-depth article on. You can read the full article and get a preview of the discussion here: https://www.marshallip.com/insights/artificial-intelligence-the-intellectual-property-landscape/

Ryan also recently launched a Patent and Intellectual Property (IP) law blog focusing on Next-Generation and New-Age Technologies: https://www.patentnext.com/

On Our Presenter: Ryan works with clients in all areas of intellectual property (IP), with a focus on patents. Clients enjoy Ryan’s business-focused approach to IP. With a MBA from Northwestern’s Kellogg School of Management, Ryan works with clients to achieve their business objectives, including developing and protecting their innovations and businesses with IP.

Ryan routinely helps clients with:

Preparing and prosecuting high-quality patent applications, and developing strategic patent portfolios for innovative products and services, including in the U.S. and foreign jurisdictions (e.g., Europe, China, and Japan).

Preparing legal opinions as to the patentability, non-infringement, validity, and/or freedom-to-operate of innovative products or services.

Litigating IP related issues to protect client market share from competitors and defend clients from IP lawsuits against competitors or non-practicing patent entities.
As a former technology consultant with Accenture and with a background in computer science and engineering, Ryan has extensive experience in computer system, hardware, and software design, engineering, development and related technologies. He represents numerous startup and Fortune 500 clients with patent matters in technical areas and industries including artificial intelligence and machine learning, medical devices, biometrics data and services, virtual reality, imaging, internet and e-commerce, computer networking, data storage and management, encryption and security, mobile telecommunications, consumer electronics, insurance and finance applications, mechanical devices, among others.

Ryan has been published in several well-known IP publications including the World Intellectual Property Review, Bloomberg Law, and IP Litigator, and has spoken as a panelist at various IP conferences, including for the International Intellectual Property Law Association (IIPLA), and for the University of Illinois Chicago Annual IP Conference. Ryan's recent article titled Artificial Intelligence & the Intellectual Property Landscape details how artificial intelligence is reshaping the business and intellectual property landscape.

Ryan is also an adjunct professor at Northwestern University’s Pritzker School of Law where he teaches coursework on Patenting Software Inventions, with a focus on patent subject matter eligibility dealing with procuring software and computer related patents in view of 35 U.S.C. § 101 and the U.S. Supreme Court’s decision in Alice Corp. v. CLS Bank International, 573 U.S. 208 (2014).

Ryan has been rated by Super Lawyers® and Leading LawyersSM as a Rising Star and peer selected Emerging Lawyer, respectively, for years 2019 through 2020. Since 2021, Ryan has been named a Leading Lawyer.

Prototyping Artificial Intelligence Models

Online event

Big Data and Artificial Intelligence (AI) have captivated the imagination of many companies. However, to go from raw data to benefiting the end-user can be a long marathon filled with hurdles. In this presentation, we will discuss a way of sharing AI models through rapid prototyping that benefits both end-users and data scientists.

Trunojoyo (Atun) Anggara, Ph.D. is a contractor with a financial services company. Being a lifelong learner, he belongs to the Twin Cities Deep-Learning Study Group and Analyze This Group in the twin cities area. His past experience includes collaboration with a startup company on Natural Language Processing, academic advising, and computational catalysis for his Ph.D. in Chemical Engineering at Notre Dame.

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