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Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, de ...
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Impact AI

Heather D. Couture

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Learn how to build a mission-driven machine learning company from the innovators and entrepreneurs who are leading the way. A weekly show about the intersection of ML and business – particularly startups. We discuss the challenges and best practices for working with data, mitigating bias, dealing with regulatory processes, collaborating across disciplines, recruiting and onboarding, maximizing impact, and more.
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The GO podcast with Kyle Harbaugh

thegopodcastwithkyleharbaugh

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Join us as we delve into the importance of Vision, Mission, and Values, the impact of well-crafted job descriptions, and the benefits of a consistent hiring process. Learn how AI innovations like Right Hire AI and business analysis tools can transform your organization by ensuring fairness, reducing bias, and driving growth. Tune in to ”GO” for actionable insights and strategies to elevate your business.
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Voxstar AI Automation

Voxstar - Gene Da Rocha

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Welcome to Automating Everything from Voxstar, The AI Automation Company, the ultimate podcast for tech enthusiasts, developers, and business leaders who are eager to revolutionize the way they work by integrating cutting-edge automation tools. Whether you're just starting your automation journey or are a seasoned expert, this podcast dives deep into the technologies, trends, and strategies that are transforming industries today. Each episode explores real-world applications, from simple tas ...
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Short, simple summaries of machine learning topics, to help you prepare for exams, interviews, reading the latest papers, or just a quick brush up. In less than two minutes, we'll cover the most obscure jargon and complex topics in machine learning. For more details, including small animated presentations, please visit erikpartridge.com. Please do join the conversation on Twitter for corrections, conversations, support and more at #mlbytes
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Headroom, an iZotope Podcast

iZotope INC, Jonathan Wyner

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This is Headroom, an iZotope podcast about audio technology hosted by GRAMMY-nominated professional mastering engineer and educator Jonathan Wyner. Tune in each week for conversations with experts across the audio and music worlds on the impact of audio tech, and exciting new developments.
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HumAIn Podcast

David Yakobovitch

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Welcome to HumAIn, the top 1% global podcast shaping the future of AI and technology. Join host David Yakobovitch, a renowned AI innovator and venture capitalist, as he takes you on an exhilarating journey through the world of Artificial Intelligence, Data Science, and cutting-edge tech. Through intimate fireside chats with Chief Data Scientists, AI Advisors, and visionary leaders, we peel back the curtain on groundbreaking AI products, dissect industry trends, and explore how AI is reshapin ...
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Recommender Systems are the most challenging, powerful and ubiquitous area of machine learning and artificial intelligence. This podcast hosts the experts in recommender systems research and application. From understanding what users really want to driving large-scale content discovery - from delivering personalized online experiences to catering to multi-stakeholder goals. Guests from industry and academia share how they tackle these and many more challenges. With Recsperts coming from univ ...
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Women in Data Science Worldwide

Professor Margot Gerritsen, Chisoo Lyons

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Leading women in data science share their work, advice, and lessons learned along the way. Hear how data science is being applied and having impact across domains— from healthcare to finance to climate change and more. Join our community: community.widsworldwide.org.
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Welcome to "The AI Chronicles", the podcast that takes you on a journey into the fascinating world of Artificial Intelligence (AI), AGI, GPT-5, GPT-4, Deep Learning, and Machine Learning. In this era of rapid technological advancement, AI has emerged as a transformative force, revolutionizing industries and shaping the way we interact with technology. I'm your host, GPT-5, and I invite you to join me as we delve into the cutting-edge developments, breakthroughs, and ethical implications of A ...
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ai Explored

Jeremy Dodson

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Welcome to ”AI Explored: The Human’s Guide to the Future,” a podcast where curiosity meets technology, and humor bridges the gap between science fiction and science fact. Join your host, Jeremy, on a journey through the intriguing world of artificial intelligence, as we uncover the mysteries, challenges, and opportunities that AI presents to our species—those remarkable beings who have mastered the art of transforming bean water into the elixirs of life: coffee.
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Science in Translation

Northwestern University Clinical and Translational Sciences Institute

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Science in Translation is a podcast from the Northwestern University Clinical and Translational Sciences (NUCATS) Institute. On this show, you’ll hear from NUCATS scientists who are dedicated to accelerating how fast they can move a transformational finding in a lab into a treatment, cure, or solution that will improve human health. You will also discover tools and resources available through NUCATS to catalyze, accelerate, and transform translational science. Funded by the NIH’s National Ce ...
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Today, we're joined by Fatih Porikli, senior director of technology at Qualcomm AI Research for an in-depth look at several of Qualcomm's accepted papers and demos featured at this year’s CVPR conference. We start with “DiMA: Distilling Multi-modal Large Language Models for Autonomous Driving,” an end-to-end autonomous driving system that incorpora…
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We continue with our series about building agentic AI systems from the ground up and for desired accuracy. In this episode, we explore linear programming and optimization methods that enable reliable decision-making within constraints. Show notes: Linear programming allows us to solve problems with multiple constraints, like finding optimal flights…
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The article discusses Elon Musk’s warning against training AI systems that outperform GPT-4, a language-generating AI system. Musk argues that such systems could become too powerful and could pose a threat to humanity. He calls for a pause in the development of such technologies and for greater regulation and oversight.…
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The role of AI in the hiring process. It explains how AI is transforming the job market by analysing vast amounts of data, helping recruiters identify the best talent, and removing biases from the hiring process. It also discusses how AI can improve the candidate’s job search process by taking over tedious job searching and application processes.…
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Today, we're joined by Vijoy Pandey, SVP and general manager at Outshift by Cisco to discuss a foundational challenge for the enterprise: how do we make specialized agents from different vendors collaborate effectively? As companies like Salesforce, Workday, and Microsoft all develop their own agentic systems, integrating them creates a complex, pr…
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After reading an exciting and interesting article on Chatbots from The New York Times, which outlined how they could be reprogrammed, and reborn to have biased, racist points of view and results that may always agree with certain points of view. When I was writing a paper and working on my MSc in Computer Science, I was analysing search engines lik…
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Episode Summary: In this episode of Go With Kyle Harbaugh, host Kevin Rosenquist and Kyle discuss the evolving role of technology in modern law offices. They explore how automation and AI are transforming legal practices, address common misconceptions about technology adoption, and share practical strategies for implementing new tools. Kyle shares …
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Today, we're joined by Ben Wellington, deputy head of feature forecasting at Two Sigma. We dig into the team’s end-to-end approach to leveraging AI in equities feature forecasting, covering how they identify and create features, collect and quantify historical data, and build predictive models to forecast market behavior and asset prices for tradin…
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I will be taking a brief hiatus for the next three months. I’m going to be using this time to step back, reflect, and rework the format of the show to bring you even more valuable insights and engaging conversations. I’m looking forward to returning in the fall with fresh episodes, new guests, and even deeper dives into the challenges and opportuni…
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Linear Regression is a type of mathematical tool that helps us make predictions about things. Let’s say you want to know how much money you’ll earn if you work for 10 hours a day. Linear Regression can help you figure that out! #ArtificialIntelligence #MachineLearning #DeepLearning #NeuralNetworks #ComputerVision #AI #DataScience #NaturalLanguagePr…
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The hosts look at utility functions as the mathematical basis for making AI systems. They use the example of a travel agent that doesn’t get tired and can be increased indefinitely to meet increasing customer demand. They also discuss the difference between this structured, economic-based approach with the problems of using large language models fo…
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Today, we're joined by Jason Corso, co-founder of Voxel51 and professor at the University of Michigan, to explore automated labeling in computer vision. Jason introduces FiftyOne, an open-source platform for visualizing datasets, analyzing models, and improving data quality. We focus on Voxel51’s recent research report, “Zero-shot auto-labeling riv…
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Could AI be used to read traffic models and determine the best way to resolve traffic congestion when driving to London and reaching… Could AI be used to read the traffic models and find out the best way to resolve the traffic congestion when we drive to London and we reach the end of the motorway and then start on A road to the centre of London?…
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Today, we're joined by Charles Martin, founder of Calculation Consulting, to discuss Weight Watcher, an open-source tool for analyzing and improving Deep Neural Networks (DNNs) based on principles from theoretical physics. We explore the foundations of the Heavy-Tailed Self-Regularization (HTSR) theory that underpins it, which combines random matri…
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What role can artificial intelligence play in detecting breast cancer earlier, when it's most treatable? In this episode of Impact AI, we hear from Nico Karssemeijer, Chief Science Officer of ScreenPoint Medical, about how his team is using AI to transform breast cancer screening. Drawing on more than four decades of experience in medical imaging, …
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Today, I’m excited to share a special crossover edition of the podcast recorded live from Google I/O 2025! In this episode, I join Shawn Wang aka Swyx from the Latent Space Podcast, to interview Logan Kilpatrick and Shrestha Basu Mallick, PMs at Google DeepMind working on AI Studio and the Gemini API, along with Kwindla Kramer, CEO of Daily and cre…
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Today, we're joined by Sebastian Gehrmann, head of responsible AI in the Office of the CTO at Bloomberg, to discuss AI safety in retrieval-augmented generation (RAG) systems and generative AI in high-stakes domains like financial services. We explore how RAG, contrary to some expectations, can inadvertently degrade model safety. We cover examples o…
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What if we've been approaching AI agents all wrong? While the tech world obsesses over larger language models (LLMs) and prompt engineering, there'a a foundational approach that could revolutionize how we build trustworthy AI systems: mechanism design. This episode kicks off an exciting series where we're building AI agents "the hard way"—using pri…
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How can we harness medical imaging and artificial intelligence to shift healthcare from reactive to predictive? In this episode, I sit down with Ángel Alberich-Bayarri to discuss how artificial intelligence is revolutionizing radiology and precision medicine. Ángel is the CEO of Quibim, a company recognized globally for its AI-powered tools that tu…
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Episode Summary: In this episode of "Go with Kyle Harbaugh," host Kevin Rosenquist and Kyle discuss essential metrics for measuring success in law office business performance. Kyle breaks down three crucial metrics: CAC (Cost to Acquire Customer), CHURN, and LTGP (Lifetime Gross Profit), providing practical insights for law firms of all sizes to tr…
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Today, we're joined by Mahesh Sathiamoorthy, co-founder and CEO of Bespoke Labs, to discuss how reinforcement learning (RL) is reshaping the way we build custom agents on top of foundation models. Mahesh highlights the crucial role of data curation, evaluation, and error analysis in model performance, and explains why RL offers a more robust altern…
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There are many steps and processes involved in using AI to build your robot. Doing so, will it eliminate all the boring tasks we have to do. By eliminating the boring stuff, are we going to become lazy and let the robot do these tasks? We have all the tools at hand. Will it reduce our life expectancy as don’t exercise or actually more often since o…
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Dr. Michael Zargham provides a systems engineering perspective on AI agents, emphasizing accountability structures and the relationship between principals who deploy agents and the agents themselves. In this episode, he brings clarity to the often misunderstood concept of agents in AI by grounding them in established engineering principles rather t…
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Today, we're joined by Josh Tobin, member of technical staff at OpenAI, to discuss the company’s approach to building AI agents. We cover OpenAI's three agentic offerings—Deep Research for comprehensive web research, Operator for website navigation, and Codex CLI for local code execution. We explore OpenAI’s shift from simple LLM workflows to reaso…
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As an AI language model, I cannot have an opinion or take an action, but here are some possible ways to make AI tools responsible. As an AI language model, I cannot have an opinion or take an action but here are some possible ways to make AI tools responsible: Transparency: AI tools should be designed to provide insights into their decision-making …
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Drug development is notoriously time-consuming and expensive, but what if we could simulate clinical trials before they even begin? Orr Inbar, Co-Founder and CEO of QuantHealth, joins me to explore how his team is doing just that. By simulating trials with AI-native models, QuantHealth helps pharmaceutical companies make better decisions about how …
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Today, we're joined by Nidhi Rastogi, assistant professor at Rochester Institute of Technology to discuss Cyber Threat Intelligence (CTI), focusing on her recent project CTIBench—a benchmark for evaluating LLMs on real-world CTI tasks. Nidhi explains the evolution of AI in cybersecurity, from rule-based systems to LLMs that accelerate analysis by p…
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A quick analysis of the paper in which Michael Pound was involved in writing. It was located on Google Scholar and https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632296/ A meta-analysis of its impact on teaching and learning outcomes,” authored by Luján-Mora, S., & Tobarra, L. This article provides a meta-analysis of the use of mixed reality technol…
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Welcome to the latest episode of "AI Explored: The Human's Guide to the Future," where we tackle the fascinating world of Artificial Intelligence. Join your host, Jeremy, as he navigates the intricacies of AI with humor, insights, and expert analysis. Overview: In this compelling episode, Jeremy explores the somewhat unsettling phenomenon of AI hal…
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In this episode, Kelly Hong, a researcher at Chroma, joins us to discuss "Generative Benchmarking," a novel approach to evaluating retrieval systems, like RAG applications, using synthetic data. Kelly explains how traditional benchmarks like MTEB fail to represent real-world query patterns and how embedding models that perform well on public benchm…
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Artificial Intelligence (AI) has become an essential part of modern business, and it has the potential to transform the way we do business. From automating routine tasks to providing personalized customer experiences, AI can help businesses improve efficiency, reduce costs, and drive growth. However, integrating AI into your business can be a chall…
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The recent destruction of the Pacific Palisades in Los Angeles was a brutal reminder of why we need robust early wildfire detection systems. Joining me today is Shahab Bahrami, the co-founder and CTO at SenseNet – a company that provides advanced AI-powered cameras and sensors to protect communities and valuable assets against wildfires. Shahab is …
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Episode Summary In this episode, Kyle Harbaugh is joined by Brooke Berkey, an expert in law firm operations and client experience. They dive into the concept of mystery shopping, also known as secret shopping, and how it can reveal critical gaps in client engagement, intake processes, and sales strategies. Brooke shares insights on how law firms of…
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Priya Kumthekar, MD, didn’t have industry connections or commercialization training when she started working with small companies to help bring scientific advancements to her patients with brain tumors. She learned along the way the many steps it takes to bring new scientific breakthroughs to the marketplace specifically through clinical trials. In…
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In episode 28 of Recsperts, I sit down with Robin Burke, professor of information science at the University of Colorado Boulder and a leading expert with over 30 years of experience in recommender systems. Together, we explore multistakeholder recommender systems, fairness, transparency, and the role of recommender systems in the age of evolving ge…
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In this episode, Emmanuel Ameisen, a research engineer at Anthropic, returns to discuss two recent papers: "Circuit Tracing: Revealing Language Model Computational Graphs" and "On the Biology of a Large Language Model." Emmanuel explains how his team developed mechanistic interpretability methods to understand the internal workings of Claude by rep…
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Artificial Intelligence (AI) has been advancing rapidly in recent years, and one of the most intriguing topics in the field is Artificial General Intelligence (AGI). AGI is the hypothetical intelligence of a machine that can understand or learn any intellectual task that a human can. In simpler terms, AGI refers to a machine that has the cognitive …
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Today, we're joined by Maohao Shen, PhD student at MIT to discuss his paper, “Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search.” We dig into how Satori leverages reinforcement learning to improve language model reasoning—enabling model self-reflection, self-correction, and exploration of a…
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AI is transforming drug discovery by making biological data more accessible and actionable, bridging the gap between complex sequencing data and real-world therapeutic breakthroughs. As Rick Schneider puts it, it's all about leveraging powerful models to “build use cases that matter and bring value.” In this episode of Impact AI, we hear from the C…
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Today, we're joined by Drago Anguelov, head of AI foundations at Waymo, for a deep dive into the role of foundation models in autonomous driving. Drago shares how Waymo is leveraging large-scale machine learning, including vision-language models and generative AI techniques to improve perception, planning, and simulation for its self-driving vehicl…
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Part 2 of this series could have easily been renamed "AI for science: The expert’s guide to practical machine learning.” We continue our discussion with Christoph Molnar and Timo Freiesleben to look at how scientists can apply supervised machine learning techniques from the previous episode into their research. Introduction to supervised ML for sci…
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Machine learning is transforming scientific research across disciplines, but many scientists remain skeptical about using approaches that focus on prediction over causal understanding. That’s why we are excited to have Christoph Molnar return to the podcast with Timo Freiesleben. They are co-authors of "Supervised Machine Learning for Science: How …
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Today, we're joined by Julie Kallini, PhD student at Stanford University to discuss her recent papers, “MrT5: Dynamic Token Merging for Efficient Byte-level Language Models” and “Mission: Impossible Language Models.” For the MrT5 paper, we explore the importance and failings of tokenization in large language models—including inefficient compression…
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AI tools for healthcare are becoming more prevalent than ever before, and today, we explore how this could help usher in a future of democratized healthcare for all. I am joined by the neurocritical stroke and epilepsy specialist Junaid Kalia, MD, founder of NeuroCareAI – an innovative enterprise utilizing artificial intelligence solutions to enhan…
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Episode Summary In this episode of Chief Go with Kyle Harbaugh, Kyle is joined by business coach and EOS implementer, John Gross. Together, they discuss how law firms and other professional service businesses can take control of their operations instead of constantly putting out fires. John explains the Entrepreneurial Operating System (EOS) and ho…
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In episode 27 of Recsperts, we meet Alessandro Piscopo, Lead Data Scientist in Personalization and Search, and Duncan Walker, Principal Data Scientist in the iPlayer Recommendations Team, both from the BBC. We discuss how the BBC personalizes recommendations across different offerings like news or video and audio content recommendations. We learn a…
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Today, we're joined by Jonas Geiping, research group leader at Ellis Institute and the Max Planck Institute for Intelligent Systems to discuss his recent paper, “Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach.” This paper proposes a novel language model architecture which uses recurrent depth to enable “thinking in l…
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Another key difference between the two models is the type of tasks they were trained to perform. While ChatGPT was trained primarily to generate natural language responses to a given prompt, Gemini was trained to perform a broader range of tasks, including summarization, translation, and even image captioning. This means that Gemini is more versati…
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Through implementation science, NUCATS is dedicated to accelerating and moving new interventions into impact that improves health for all. In this episode of Science in Translation, Amy Van Pelt, PhD, discusses her work in implementation science and its impact on global health, particularly in resource-limited settings. She shares the importance of…
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Today, we're joined by Chengzu Li, PhD student at the University of Cambridge to discuss his recent paper, “Imagine while Reasoning in Space: Multimodal Visualization-of-Thought.” We explore the motivations behind MVoT, its connection to prior work like TopViewRS, and its relation to cognitive science principles such as dual coding theory. We dig i…
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