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The financial industry has changed dramatically over the last few decades thanks to developments in technology, providing us with modern conveniences like online banking. Now, AI provides the potential for even more innovation and security through services such as Inscribe, a FinTech company where this week’s guest, Conor Burke, serves as CTO. Conor starts by teaching us about types of fraud and traditional methods of catching fraudsters, as well as how AI is enabling identification of fraudulent customers despite the growing complexity of fraud schemes. Then, Deep and Conor dive into the sharing of data used to perpetuate or curtail fraud and why bad actors might actually be collaborating more effectively than good actors such as Inscribe.Learn more about Conor here: 
How can the often dreaded commute be transformed into a more efficient, productive experience that simultaneously tackles the climate crisis? The answer may lie with smart commuting technologies enabled by AI and machine learning. This episode, we speak with Corey Tucker, Director of Innovation at RideAmigos, about AI and smart commuting.Corey explains how AI can be harnessed to track daily habits and provide users with optimized personal commuting strategies, many of which utilize shared transportation to reduce carbon emissions. Deep and Corey also touch on how the COVID-19 pandemic has changed the approach to solving commuting problems and highlighted the need for flexibility of work hours and commuting options. As we learn, improvements in AI-powered smart commuting technology and increased data homogeneity promise radical, positive change in the way that we approach commuting.Learn more about Corey here: 
Why is trust so critical in the integration of AI into existing chemical engineering technology? In this episode, we explore the role of AI and machine learning in chemical engineering with Dr. Sebastian Werner. Dr. Werner has a doctorate degree in chemical engineering and currently works as an AI Evangelist at Dataiku, a data science and machine learning platform that designs, deploys, and manages AI applications.Dr. Werner explains how AI-enabled predictive maintenance, regression, and time series forecasting improves efficiency of chemical engineering operations. He and Deep touch on the challenges of bridging the divide between operational and informational technology, and why this has slowed the integration of AI into manufacturing.  Finally, Dr. Werner speculates about the future role of AI in manufacturing, as well as how the global push for sustainability will influence the development of new technology.Learn more about Dr. Werner here: 
How can polluting oil companies possibly achieve net zero emissions? In this episode, we hear from Carolina Torres, Executive Director of Energy Industry Transformation at Cognite, about the ambitious promises made by energy companies and how AI is making it possible to meet those efficiency and sustainability goals.   Carolina and Deep dive into the details of energy production, oil rigs, and emissions in the context of AI. Carolina explains why the energy industry has struggled to leverage AI and how industrial data contextualization improves the safety and sustainability of operations. Finally, she touches on the future of sustainable energy production, including how to make Carbon Capture and Sequestration and other emission-reducing practices profitable. Learn more about Carolina here: 
As AI becomes increasingly powerful, concerns about abuses grow. Consideration of the potential of future AI innovations leaves us with a burning question: does AI require regulation, and if so, how should AI be regulated and who should make those decisions? In this episode, we speak with Dr. Rowena Rodrigues, Head of Innovation and Research at Trilateral Research, a UK based organization that provides ethical AI software solutions. Deep and Dr. Rodrigues discuss the importance of data transparency and how to balance innovation and regulation.  They also speculate about what it might take for stricter regulatory legislation in AI to be enforced and how these regulations might evolve over the next decade.Want to dive deeper? Explore some of the topics introduced by Dr. Rodrigues below:EU AI Act proposal: project: SHERPA project: 
What do data centers loaded on tractor trailers with self destruct buttons in war zones have to do with ML models built from networks of hospital data? Join us in this fascinating episode as Deep speaks with Dr. David Bauer, Co-founder and CTO of BOSS AI. Dr. Bauer shares colorful stories and discusses how his experience leading big data and distributed learning initiatives for the U.S. Intelligence community inspired him to take hard lessons learned on the battlefield into the commercial sector and start BOSS AI. Deep and Dr. Bauer dive into Federated AI, a type of AI that allows machine learning models to be built from data across multiple disparate systems while leaving the data in each system encrypted and decentralized. Federated AI encourages businesses to leverage their data to extract insights, alleviating the need for expensive data lakes, while also avoiding the risk,  hassle and increased latency involved in centralizing data. 
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. Building on her experience as a radio host, she stresses the importance of creating a two-way conversation with your audience to build trust and create fans, or "evangelists", through your marketing efforts.Learn more about Lately here: 
Synthetic AI voices are everywhere, from the smart speakers in your home to ads on the radio. This week, we speak with David Ciccarelli  about AI voices and voice acting. David is the CEO of Voices, a leading voice over platform where companies can hire voice actors to complete creative projects. In this episode, we cover the rapid rise of AI voice technology, what goes into creating synthetic voices, and future implications of their development. David also addresses the  value of voice actors as compared to synthetic voices, and reasons that companies might choose to use one over the other.Check out Voices here: 
Have you ever wondered how robotic arms can be controlled using your mind? This week on Your AI Injection, Deep speaks with Keiland Cooper, a cognitive scientist and neuroscientist at the University of California, Irvine, about the intersection of AI and neuroscience research. Cooper uses machine learning to study how the brain learns, remembers, and makes decisions.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. Cooper also teaches us how studying the brain can be used to better develop existing AI algorithms. As one means to explore this, we discuss ContinualAI, a non-profit research organization co-founded by Cooper with a focus on continuous learning. Learn more about ContinualAI: 
This week on Your AI Injection, Deep speaks with Dr. Brian Green. Dr. Green is the director of technology ethics at the Markkula Center for Applied Ethics at Santa Clara University. His work focuses mainly on the relationship of ethics in AI. In this episode, we find out how social media algorithms can encourage negative thinking. We also talk about how tech companies can create ethical AI during the product design process and what it means to expand the ethical circle.  We also touch on the ethical dilemmas in self driving cars, autonomous weapons and more. Find out more about Dr. Green below: you are interested in learning more about this topic, check out our in depth article titled "How to Detect and Mitigate Harmful Societal Bias in Your Organizations AI:
<__truncato_root__>This week we’re speaking with Dr. Daniel Gould and Dr. James Smartt. Dr. Gould’s a plastic surgeon and the author of hundreds of peer-reviewed journal articles. Dr. Smartt is an attending surgeon at Bucky Plastic Surgery and the CEO and co-founder of Love My Delta, a smart phone application that measures and tracks cosmetic surgery improvements over time. This episode discusses how AI is impacting the world of plastic surgery.  We dive into ways treatment efficacy is measured through crowdsourcing and AI and how both methods are essential to gather data.  We also discuss the app Love My Delta and gain insights into how the app is beneficial to physicians by helping improve patient outcomes and product efficacy. 
This week on the podcast we spoke with Anup Joshi to provide us with some insight into measuring and monitoring biological carbon stocks . Dr. Joshi has a Ph.D. in Conservation Biology from The University of Minnesota. Dr. Joshi currently works at the GHG Management Institute  where he teaches remote sensing and GIS for measuring and mapping forest carbon stocks. Additionally, Dr. Joshi develops training courses for governments to report and verify forest carbon emissions for successful implementation of REDD+ programs.In this exciting episode, we dive deep into the world of carbon stock mapping and how remote sensing and LiDAR are used to calculate the  biomass of a tree. We also get an insight into carbon credit accounting and how this is emerging as a way to offset GHG emissions.Connect with Dr. Anup Joshi here: to learn more?Check out our two part article series on Carbon Sequestration:
This week on the podcast we have Dr. Ilke Demir with us to talk about the crazy world of deepfakes. Dr. Demir received her Ph.D in Computer Science from Purdue University and she is currently working as a senior research scientist for Intel. 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. Learn more about Dr. Demir's work below:
This episode we get to talk with Kelsey Josund, a machine learning engineer from Pachama. Pachama is an exciting green startup on a mission to solve climate change. Pachama is making progress towards this lofty goal through a carbon credits program where companies and individuals can purchase carbon credits to offset their carbon usage. 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.Connect with Kelsey and learn more about her work here: more about Pachama by following the link below: in learning more about carbon monitoring? Check out some of our articles below:
This week's episode discusses how we can understand human conversations through human-machine synergistic interactions. We are joined by Carsten Tusk and Bill Constantine to dive deep into this topic. Training machines to understand languages can be a challenge for most data scientists. This episode starts with the basics of how to start training these machines to understand languages. We take a look at different scenarios where this can be used in everyday business practices.  Check out some of our articles that dig into this and related topics in more depth: Understanding Conversations in Depth through Synergistic Human/Machine InteractionPractical Applications of AI, NLP and GPT3 in Automated Text GenerationModern AI Text Generation Exploration Using GPT3, Wu Dao, and other NLP Advances
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. Andrew's most recent publication, Artifice in the Calm Damages, can be found here: out more of our work with GPT-3 below:Practical Applications of AI & NLP for Automated Text GenerationModern AI Text Generation: An Exploration of GPT-3, Wu Dao 2.0 & other NLP Advances
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. Alongside his work in the clinical setting, Tom has been involved with a number of AI-driven startups. 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. Check out our work assisting physicians here: up to date on Tom's work by visiting his LinkedIn:
This week our guest was Pindar Van Arman. Pindar is an established artist who uses AI-driven robotic arms to paint. We talked with Pindar about his creative process and background, and  broke down the AI technology that he uses for his paintings. We also discussed the role of the robot as both a tool and a creative collaborator. To look at Pindar's work and learn about his creative and technological process, check out his website
This week we had the chance to talk with Dr. Dennis Tenen, an associate professor of English and Comparative Lit at Columbia University. Dennis has been studying vaccine-hesitant language online, a project that is leveraging AI to better understand the various social and cultural explanations for vaccine-hesitancy. We chatted with Dennis about his unique background in the intersection of AI and literature, and about the machine learning that is helping bring his research to life. To learn more about Dennis' work, check out:
This week we had the chance to talk to Bharath Modayur, founder of Early Markers, a startup that is using AI to detect developmental delays in infants. We chatted with Bharath about some of the machine learning involved in Early Markers, and about the challenges the company has faced and the importance of the work they are doing. 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. To learn more about Early Markers, visit their website here: Early MarkersTo find out more about how to use pose analysis to analyze activities, visit our website:  Human Pose AnalysisIf you are interested in reading about other applications of body pose estimation: Using AI to Improve Sports Performance & Achieve Better Running Efficiency
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