Deep Reinforcement Learning

Transforming Heartache — Opening to Healthy Love Breakups, divorce, ghosting, betrayal, and unrequited love cut deeply. They don’t just hurt emotionally — they shake your foundation, your sense of self, and your ability to trust and love again. Most people try to distract themselves, numb the pain, or “get over it.” But heartbreak isn’t something you simply get over. It’s something you move through. Digest. Transform. Heartbreak brings old wounds to the surface — abandonment, invisibility, unworthiness, longing, attachment trauma. It exposes the emotional residue many of us have been carrying for years, sometimes decades. When these wounds aren’t processed, people often find themselves: • stuck in obsessive thinking about someone they can’t let go of • cycling through the same painful relationship patterns • drawn to unavailable or inconsistent partners • feeling anxious, destabilized, or emotionally overwhelmed • struggling with loneliness, shame, or self-doubt • confusing intensity with intimacy • feeling disconnected from themselves and their bodies This Meetup is a space for people who want something deeper than surface-level advice. Here, you’ll learn how to work with heartbreak at the levels where it actually lives — in the body, the nervous system, and the emotional core. Through guided practices and practical insights drawn from decades of experience in meditation, somatic healing, and attachment work, you will learn how to: • calm emotional overwhelm • metabolize grief and emotional pain • dissolve fixation and looping thoughts • reconnect with your body and inner stability • unwind unhealthy relational patterns • rebuild your emotional foundation from the inside out As you heal, something important happens. You become more grounded. More clear. More emotionally steady. And from that place, you naturally become more receptive to healthy, reciprocal love — the kind rooted in presence, mutual care, and real compatibility. This group is for those who are ready to do meaningful inner work. Not quick fixes. Not denial. Not endless venting without direction. If your heart is hurting, you are welcome here. If you’re ready to transform your pain into growth, you are welcome here. If you want to stop repeating the same patterns and build a healthier emotional foundation, you are welcome here. Your heartbreak is not the end of love. It can be the beginning of a deeper transformation.

**PLEASE NOTE THE UPDATED LOCATION** [Stout NYC, 109 W. 39th St. (bet. 6th and 7th aves)](https://www.stoutnyc.com/location/stout-nyc-bryant-park/) In this event we'll take a break from the heavy lifting of the last few events, and focus on networking, drinking, coding, and conversations about Machine Learning! For those interested, here are a few previous presentations, feel free to study up and ask me questions at the event! [The Fundamentals of Machine Learning](https://fpwarehouse.wordpress.com/wp-content/uploads/2025/08/the-fundamentals-of-artificial-intelligence.pdf) [Machine Learning and Genetics](https://fpwarehouse.wordpress.com/wp-content/uploads/2025/08/genetics.pdf) [Machine Learning and Sorting](https://www.researchgate.net/publication/353958877_Sorting_Information_and_Recursion) See you soon! Charles

**Abstract:** Current procedural content generation in media suffers from a dichotomy: it is either computationally efficient but predictable, or creative but prone to hallucination and error. The solution lies in a fundamental shift from classical procedural generation to quantum constraint satisfaction algorithms. In this talk, I will present the technical roadmap for MOTH, exploring how quantum computing is poised to become the foundation of the next generation of media. At MOTH we categorize the ecosystem into two eras: the current NISQ era, focused on Quantum Dynamics for visual and game asset generation, and the impending FTQC era, focused on optimization and generative solvers. We will demonstrate how early quantum algorithms are being integrated into commercial game engines today, and how the "Solver Substrate" of the 2030s will enable faster game development with more realistic and immersive worlds. **Bio:** Spencer Topel is a technologist and entrepreneur specializing in the commercial application of frontier technologies, including quantum computing, robotics, and embedded systems. He currently serves as CTO of Moth Quantum, where he directs the engineering roadmap for quantum software tools designed for the creative industries. Simultaneously, as Co-founder of Electron Robotics, he architects AI-driven adaptive systems for high-precision industrial automation. Topel’s technical background is rooted in the design of novel hardware and signal processing platforms. Through his first venture, Physical Synthesis, he developed proprietary acoustic actuation technology, earning industry recognition for innovation in electromechanical design. His pivot into quantum engineering began at the Yale Quantum Institute. Working alongside the Devoret Lab, Topel successfully engineered a hardware-software interface for superconducting qubits, translating quantum state dynamics into audio signals—a project that validated new approaches to human-computer interaction (HCI) in quantum systems. A former professor of Dartmouth College, Topel combines academic rigor with agile product development. He holds advanced degrees from Cornell University and the Juilliard School, and his transdisciplinary work has been exhibited at Lincoln Center and the Museum of Modern Art.

**LLMday: In-Person Event on LLMs, AI & ML in NYC** Conference focused on Large Language Models (LLMs), Artificial Intelligence, and Machine Learning, bringing together engineers, researchers, and product teams to share real-world experience building, deploying, and operating AI systems. **🎤 [Speakers & Topics](https://llmday.com/2026-nyc-q1/)** 🎟 **[Tickets](https://luma.com/llmday-2026-nyc-q1?from=embed)**[ ](https://luma.com/llmday-2026-nyc-q1?from=embed) Get your ticket — 50% OFF with promo code: MEETUP50

**Eligibility:** Gender: Boys and Girls Age: 18-30 **Zoom Link** https://us02web.zoom.us/j/83623506605?pwd=ZGYzRXVNVzVQd25EMlNlYjJCU0wyQT09 **Brief Intro:** Delve into the profound teachings of the Bhagavad Gita with like-minded individuals at our upcoming Gita Wisdom Circle! Dive deep into the timeless wisdom of this ancient scripture and discover practical applications for modern life. This interactive study group offers a space for reflection, discussion, and growth as we unravel the spiritual insights and philosophical concepts embedded in the Gita's verses. Whether you are new to the Gita or a seasoned practitioner, join us for an insightful exploration of self-discovery, mindfulness, and inner peace. Let us come together to learn, share, and grow on our spiritual journeys with the guidance of the Bhagavad Gita. **Program Structure:** Gita recitation Discussions on the Gita Chanting Hare Krishna Mahamantra Dinner! For further info, please contact: Kesava Kumar Prabhu +1 (551) 998-7444

Hi folks, Ever wondered how we could connect our minds to a computer? A Brain Computer Interface (BCI)? The idea has been around in science fiction for a long time, and the desire to see into one’s own mind is as ancient as humanity’s ability to think and reason. Some researchers speculate that we may be able to map an entire human brain within the next 100 years. This effort is known as the Connectome. While the Connectome aims for a faithful mapping of every detail of the brain, what if we do not actually need all the details? Brain simulation is an alternative to full brain emulation via the Connectome. By using partial datasets, some from connectomics, but others from BCIs such as fMRI, EEG, fNIRS, PET, or even more invasive implants, we could train AI models to behave, while not exactly, reliably, like an individual brain. This concept of creating an AI model of the brain using neurophysiological data has been called a Large Brain Model (LBM). LBMs are already being developed today, and one could speculate they may become far more prevalent in the future. The potential use cases of LBMs are vast. One near-term application is building personalized brain maps to better understand mental illness. More aspirational possibilities include linking a Large Language Model (LLM) with an LBM, allowing us to ask questions through language directly of our own brain data, both conscious and unconscious, and truly see inside the mind. This is an area I am researching into right now. Join me for a short discussion on this topic, followed by a Q&A. Kind regards, Ryan **———————————————————————————————————————** This talk is part of the 🧠 **NYC Philosophy & Psychology Readers Spring Conference 2026** For full event details—including venue, schedule, and attendance info—visit: 👉 [https://www.meetup.com/reading-philosophy/events/312317415/](https://www.meetup.com/reading-philosophy/events/312317415/) **———————————————————————————————————————**

Join us on **Thursday, February 26** at **Datadog Times Square**. Doors open at 6:30 p.m. to give attendees plenty of time to grab pizza and socialize, and the talk begin at 7:15 p.m. Following the success of the UnConf we've absorbed all of your feedback and have two awesome speakers! **Robin Molen-Grigull is CTO at Fullstack.Trade** \- a stealth mode firm focused on high performance compute and latency in the Web3 space\. **Storage Tetris: Compile-Time Solutions for 32-Byte Storage Constraints** Fitting arbitrary Rust structs into fixed 32-byte storage slots is a puzzle, but Rust’s macros and type system make it solvable. Automatic layout and lazy loading, combined with a small macro, turn low-level storage primitives into clean .field() accessors. Associated types and compile-time offset calculations eliminate manual storage arithmetic while remaining zero-cost. **James Logan is a Principal Scientific Software Engineer at Commonwealth Fusion** **Interpn: Fast Interpolation** James Logan recently delivered a ten minute lightning talk at Rust Boston. The goal of that talk was to share "Everything I learned making software 300x faster than state-of-the-art". James has used Interpn in a way like never seen before, improving performance in a way that is unimaginably unique and can be applied by so many engineers. This is definitely one not to be missed. **[Lawrence Harvey](https://www.lawrenceharvey.com/)** is Rust NYC's official recruitment partner, with Ross providing support as a co-organizer and financial support. The space is generously sponsored by our partner **Datadog.**