Omar Costilla-Reyes, PhD’s Post

Alexandr Wang, CEO of ScaleAI and an MIT alumnus, recently shared a powerful framework on the future of AI, emphasizing reasoning as the next big milestone. At Equ Healthcare, we believe the path to achieving this lies in neuro-symbolic AI, particularly through program synthesis in programming languages, an area where MIT has led groundbreaking work. Program synthesis allows AI to bridge human intent and machine execution, enabling systems to reason, learn, and integrate expert knowledge—essential for solving complex challenges in healthcare. We’re building systems that combine the best of data-driven AI and symbolic reasoning to create truly intelligent tools for clinicians. The next phase of AI isn’t just bigger models—it’s smarter systems that work alongside experts to deliver real-world impact. We’re excited to be at the forefront of this transformation. How do you see AI reshaping industries like healthcare? #AI #HealthcareInnovation #NeuroSymbolicAI #EquHealthcare #FutureOfAI

🌟 Unlock the Future of Scientific Research with AI! 🌟 The era of the Fourth Industrial Revolution has revolutionized how we approach scientific inquiry. 🚀 Discover 8 powerful categories of AI-driven tools that are transforming research methods and empowering academics like never before. 🔍 From streamlining literature reviews to visualizing research connections, and from chatting with documents to AI-powered data analysis—these tools redefine efficiency and innovation in academia. 💡 Whether you're an academic, researcher, or enthusiast, this infographic is your gateway to mastering cutting-edge AI research tools. 🖥️ Curious about tools like ChatGPT, SCISPACE, Connected Papers, or Copyleaks? Dive in and explore how they can elevate your research game! 📊 Click to view and take your research journey to the next level. #Ali_Ameen #Ali_Ameen_Academic #Ali_Ameen_DataScience #Ali_Ameen_AI

In a world increasingly transformed by AI, many leaders wonder: how do we balance adopting the latest technologies with maintaining regulatory compliance? Hear what Chip Lynch, Senior Director of Software Engineering at Reveal HealthTech, has to say on that! Earlier this month, Salim Afshar, MD, DMD, FACS, Chip Lynch, Ramesh Sridharan, and Alexis Isabelle had an amazing time discussing the applications of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and GenAI safety in our latest edition of the 'Reveal AI in Healthcare & Life Sciences' webinar series - Where Medicine Meets Machine Learning. Watch the full webinar here: https://lnkd.in/eXmsGtD6 #AI #future #RAG #LLM #knowledgesharing #webinar #lifesciences

Each step brings us closer to the exciting concept of AI singularity ;). I can't help but get excited when I see start-ups making significant strides and disrupting markets. I recently came across this video from jason rugolo, CEO of IYO, and it was beautiful to see all of the major AI breakthroughs performing in real-time. A device was displayed that utilized a combination of a computational scene analysis algorithm, a robust object detection algorithm, a noise cancellation algorithm, and robust ASR and Translation models, all in real-time. Additionally, it included a TTS model with a speaker transition model applied, which I have yet to see in a commercial product like this.  While I anticipated these advancements, I was pleasantly surprised by their rapid pace. Collaborating with industry leaders has shattered my expectations, and I can confidently say that we are on the brink of a new era. What does this mean? It means major Breakthroughs are on the Horizon, and groundbreaking advancements are transforming how we interact with technology. This means that we, as a society and a civilization, must prepare to scale with these technologies properly. But that is a topic for another post; this one was to let you know that we are very close to singularity if you ask me ;) #AI #ArtificialIntelligence #ML #Objectdetection #ASR #TTS #TechInnovation #FutureTech #MachineLearning

Saturday reading: Building Machines that Learn and Think with People https://lnkd.in/dE9qxZN5 Main Insights: - AI as Thought Partners: The research outlines how AI can evolve from being tools for thought to actual partners in thought, capable of understanding human goals, intentions, and cognitive limitations. - Collaborative Cognition: The team emphasizes the importance of collaborative cognition, where AI systems work alongside humans in domains like programming, medicine, storytelling, and more, enhancing the efficiency and quality of human decision-making. - Human-Centric Design: Effective AI thought partners must meet three key criteria: they should understand us, be understandable by us, and share a common understanding of the world. - Ethical and Practical Considerations: The research also highlights the need to carefully design AI systems that enhance human capabilities while considering the risks of over-reliance, ethical misalignment, and potential misuse. - Applications Across Domains: From programming assistants that understand a programmer’s intent to medical AI that collaborates with doctors in diagnosing and treating patients, the potential applications of AI thought partners are vast and impactful. Abstract: What do we want from machine intelligence? We envision machines that are not just tools for thought, but partners in thought: reasonable, insightful, knowledgeable, reliable, and trustworthy systems that think with us. Current artificial intelligence (AI) systems satisfy some of these criteria, some of the time. In this Perspective, we show how the science of collaborative cognition can be put to work to engineer systems that really can be called “thought partners,” systems built to meet our expectations and complement our limitations. We lay out several modes of collaborative thought in which humans and AI thought partners can engage and propose desiderata for human-compatible thought partnerships. Drawing on motifs from computational cognitive science, we motivate an alternative scaling path for the design of thought partners and ecosystems around their use through a Bayesian lens, whereby the partners we construct actively build and reason over models of the human and world. #AI #MachineLearning #Innovation #CollaborativeAI #CognitiveScience

"Did you know that artificial intelligence can predict heart disease with remarkable accuracy? The potential of AI and machine learning in healthcare is truly revolutionary. Let's continue to explore the limitless possibilities of data science and AI to create positive impact. #AIinnovation #datascience #machinelearning #healthtech #inspiration #technologyfuture"

The webinar on Prompt Engineering by #HexawareTechnologies, held on May 17, 2024, provided profound insights into the evolving landscape of AI and its applications. Key highlights included interactive sessions with industry experts, who shared practical techniques for crafting effective prompts to optimize AI responses. Participants gained valuable knowledge on the nuances of prompt design, enhancing both the accuracy and relevance of AI outputs. The event underscored the importance of iterative testing and refinement in prompt engineering, empowering attendees to leverage AI more effectively in their respective fields. Overall, the webinar was an enriching experience, fostering innovation and practical skills development. #Sonic #HexaVarsity #LearningisFun #LearningCulture #LearningOrganization #ContinuousLearning #LearningthroughSonic #GenerativeAI #GenerativeAITraining #HexawareTechnologiesGenAI #AIAdvancements #FutureSkills

🚀 Kicking off #INS2024 with a reality check from Jeffrey Rogers at IBM Research! 🧠💡 After a decade in neuromodulation, it's time to confront some hard truths. While we celebrate advancements in AI and large language models, are we glossing over the real challenges in applying these technologies in medicine? 🤔 AI has transformed from expert-driven systems to foundational models that no longer require expert input. But let's not fool ourselves – these machines aren’t thinking; they're calculating. And when it comes to medical data, we're far from having 'big data'—medical records are yet still too messy, and the real patient data doesn't fit neatly into our algorithms. Yet, there's hope. The real revolution might just lie in personalized neuromodulation, leveraging AI to tailor therapies precisely to individual needs based on real-world, noisy data. This is where the future is headed, not in the oversized computational models but in smart, focused applications that genuinely improve patient outcomes. As we dive deeper into this congress, let's ask the tough questions: How can we push the boundaries of neuromodulation with AI without overselling the dream? How do we ensure these technologies make a tangible difference in patients' lives? Let's not just ride the AI hype train. Let's steer it in the right direction. 🚂💥 #neuromodulation #AI #healthcareinnovation #medicaltechnology

Are you curious about #artificialintelligence and #simulators? Our curiosity has manifested into the launch of #IMPACT10X #AI #Simulator (Cohort 28) Dates: Tues June 25 - Thurs June 27 Location: Engineering & Innovation Place Theme: Research - lab 2 market Can't make this cohort? We have other events in June that may be of interest. 1. How about joining us for our (AI Literacy series) discussion on the "Math behind #GenAI https://lnkd.in/gTSiV4aX 2. Also a discussion on #cointelligence with a focus on business efficiency for the #Cairns business ecosystem #f4bg https://lnkd.in/gqPXbWaS Hope to see you there! #Research #Innovation #Industry #lab2market

AI has taken the world by storm. Seemingly overnight, generative AI has embedded itself across industries and is impacting millions of people. This rapid change in our technology has raised larger questions of how we can ensure that these tools are not controlled by a handful of existing actors. That’s why we’re inviting legislative members, staff, and advocates to join us on Friday, April 19th in Sacramento for the next event in our AI Education Series: AI and Competition. Experts will explore how the attention, interest, and investment in Al could further concentrate power and economic inequity. Click here to register: https://ow.ly/Jknl50RcvCj