long_tail

AI in Content Generation for Marketing with Kate Bradley Chernis

AI in Content Generation for Marketing with Kate Bradley Chernis

Have you been struggling to extract from your long form content to build a social media audience? Or perhaps you want to save time curating catchy social media posts? This week we speak with Kate Bradley Chernis, the Co-Founder and CEO of Lately, an AI-powered social media marketing management platform. Kate explains how AI can be used to convert long form content into short, compelling snippets for social media. [LISTEN]

The Rise of Synthetic AI Voices and Voice Acting with David Ciccarelli

The Rise of Synthetic AI Voices and Voice Acting with David Ciccarelli

Synthetic AI voices are everywhere, from the smart speakers in your home to ads on the radio. This week, we speak with CEO David Ciccarelli about AI voices and voice acting. In this episode, we cover the rapid rise of AI voice technology, what goes into creating synthetic voices, and future implications of their development. [LISTEN]

AI in Neuroscience: Drawing Inspiration From the Brain with Keiland Cooper

AI in Neuroscience: Drawing Inspiration From the Brain with Keiland Cooper

Have you ever wondered how robotic arms can be controlled using your mind? This week on Your AI Injection, we learn about how analysis of deep neural networks using AI can be used to classify and model brain activity, and how this information is being used to develop technology for people with disabilities. [LISTEN]

Deepfake Detection with Ilke Demir

Deepfake Detection with Ilke Demir

This week on the podcast we have Dr. Ilke Demir with us to talk about the crazy world of deepfakes. Last year, Ilke release a publication on a deepfake detection tool, FakeCatcher. We discuss this in the episode and learn more about how deepfake detection tools use biological signals to catch deepfakes. Later in the episode, we discuss the future of the Metaverse and how deepfakes are used in alternate realities. [LISTEN]

Monitoring Carbon Stocks Using Machine Learning With Kelsey Josund

Monitoring Carbon Stocks Using Machine Learning With Kelsey Josund

This episode we get to talk with Kelsey Josund, a machine learning engineer from Pachama, an exciting green startup on a mission to solve climate change. Pachama uses machine learning to monitor and measure carbon output from forests around the world to be sold as credits. On the episode we talk with Kelsey about how this process works and what the future of carbon monitoring looks like. [LISTEN]

Leveraging AI in Creative Writing with Poet & Professor Andrew Levy

Leveraging AI in Creative Writing with Poet & Professor Andrew Levy

This week, we sat down with published poet Andrew Levy, a professor at The City University in New York. We discussed using AI to assist in writing poetry and creative writing. We also ran one of Andrew's poems, The Putative Tiring of Light, through an AI text generator and we discuss the output on the episode. [LISTEN]

Using AI To Assist Physicians With Dr. Tom Lendvay

Using AI To Assist Physicians With Dr. Tom Lendvay

This episode of Your AI Injection features Dr. Tom Lendvay, a physician at Seattle Children's Hospital and an associate professor of urology at the University of Washington. We spent time talking about important areas and ways that AI is impacting healthcare, and what the future looks like from the perspective of an AI-savvy physician. We also dive into discussing our microbiomes and how AI can possibly help in replenishing weak gut microbiomes. [LISTEN]

Using AI to Detect Motor Delays in Infants: Interview with Bharath Modayur

Using AI to Detect Motor Delays in Infants: Interview with Bharath Modayur

Diagnosis of developmental problems in infants is most impactful when done early. Unfortunately, it is difficult and resource-consuming for new parents to bring their newborns in for motor-developmental screenings. Early Markers is using AI-driven body pose estimation to make screening for motor development easy, accessible, and efficient. [LISTEN]

AI In Music Generation: Interview With Jay Bartot

AI In Music Generation: Interview With Jay Bartot

Music is central to modern entertainment and culture, but just as work by writers regularly appears alongside robot authors in sports, financial, and other news, human musical artists are increasingly sharing the stage with artificial intelligence. What if the music you hear on the radio was not composed by a human at all, but by a machine? [LISTEN]

A CTO's Perspective on Leveraging AI in Business: Interview with Dr. Werner Koepf

A CTO's Perspective on Leveraging AI in Business: Interview with Dr. Werner Koepf

This week, we chatted with Dr. Koepf about his background in theoretical physics and how he transitioned to working in software and product development. Dr. Koepf shared some of his experiences that have shaped his approach to AI and what successful companies should do—and not do—to integrate AI into their business models. [LISTEN]

Improving Sports Efficiency Using AI

Improving Sports Efficiency Using AI

After facing a major injury while training for a marathon, one of Xyonix's own data scientists created a machine-learning algorithm that relies on body pose estimation technology to assess and correct his running form. In this episode, our data scientists discuss how AI-driven body pose estimation technology can be used by athletes to improve sports performance. [LISTEN]

Detecting and Mitigating Societal Bias in AI

Detecting and Mitigating Societal Bias in AI

AI models are now being used to make life altering decisions in areas such as healthcare, hiring, lending, university admissions and criminal justice. However, there are many high profile examples where AI has been shown to produce unfair, inequitable and exclusive decisions. In this episode of our podcast, data scientists at Xyonix talk about how to prevent societal biases from creeping into machine learning models. [LISTEN]

Explainable AI: Data Scientists Discuss What's Inside the Black Box

Explainable AI: Data Scientists Discuss What's Inside the Black Box

AI is increasingly used to make important decisions in our lives like predicting the onset of a disease, the suitability of a job candidate, the likelihood of a criminal to reoffend, or the next president of the United States. In this episode, Xyonix Data Scientists engage in a robust discussion where we explore model interpretability and discuss why you should care. [LISTEN]