# Neural networks Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/neural-networks
> Markdown URL: https://aitinkerers.org/technologies/neural-networks.md
> Technology record last updated: 2026-02-23T11:01:32Z
> Generated: 2026-09-21T16:36:38Z

A core subset of machine learning (ANNs), neural networks mimic the human brain's interconnected neurons to process complex data: key applications include image and speech recognition.

Neural networks operate on a layered architecture (input, hidden, output) of nodes (artificial neurons) with weighted connections. The system learns via backpropagation: processing massive datasets and iteratively adjusting those weights to minimize prediction error. This adaptive, non-linear processing capability drives modern deep learning applications, enabling high-accuracy solutions in critical areas like large language models (GPT, BERT) and autonomous vehicle systems.

- Official technology site: https://cloud.google.com/discover/what-is-a-neural-network
- Public AI Tinkerers demos and talks: 7
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Asset Management & AI: tech enablers, pre-requisites and examples of things that will grow](https://milan.aitinkerers.org/talks/rsvp_KVbq3zuxqvk)

In Generali Asset Management we have a series of live AI models in Asset management that are generating Alpha (investment returns) for clients and shareholders. These are advanced in terms of AI technology and advanced in terms of Asset Management usage. The talk will give a quick overview of the technology and then explore what are the pre requisites for this technology to work and then finally what I think will be coming next.

- Event context: AI Tinkerers Milan - February 24, 2026 - Agentic Orchestration in Financial Services: Architectures & Demos — 2026-02-24 — Milan
- Public talk page: https://milan.aitinkerers.org/talks/rsvp_KVbq3zuxqvk

### [Deep Learning Examples](https://orange-county.aitinkerers.org/talks/rsvp_zDJB5B5M_Zc)

I am teaching a graduate level deep learning course at LMU. My talk will have some code showing how Deep Learning code can be used to solve real business problems.

- Event context: AI Tinkerers - Orange County Inaugural Meetup (February 20th 2025) — 2025-02-21 — Orange County
- Public talk page: https://orange-county.aitinkerers.org/talks/rsvp_zDJB5B5M_Zc

### [Bolsa de Valores + AI : Experimentos personales para detectar buenos momentos de inversión y especulación](https://bogota.aitinkerers.org/talks/rsvp_dPdiMnRtYxU)

Presentación de diferentes experimentos en los cuales mezclo mi experiencia de 20 años como inversor y especulador real en la bolsa de valores de Colombia, NASDAQ y NYSE con diferentes técnicas de inteligencia artificial con k-means, redes neuronales, forecast e inclusive LLM.

- Event context: AI Tinkerers Bogotá No. 5 — 2024-09-26 — Bogotá
- Public talk page: https://bogota.aitinkerers.org/talks/rsvp_dPdiMnRtYxU

### [Job Recomendation Engine](https://boise.aitinkerers.org/talks/rsvp_wvIACpjeCfk)

I've created a product that allows job seekers to optimize their time in the job market. Instead of scrolling through LinkedIn and other job boards, users can just send their resume to the application and moments later, we will return a list of recommended jobs that a re a fit for the candidate based on their skills, job history and profile. The goal is to improve the experience of job seekers in the market and reduce the noise from low quality job postings. This is a working piece of software that I've developed this year and have been sharing it with friends who are seeking work. It also helped me locate and land my most recent job offer.

- Event context: AI Tinkerers - Boise Inaugural Meetup (August) — 2024-08-22 — Boise
- Public talk page: https://boise.aitinkerers.org/talks/rsvp_wvIACpjeCfk

### [Solving AGI - ARC with Neural Nets that learn algebra](https://chicago.aitinkerers.org/talks/rsvp_C9wKKddDFas)

Arc agi challenge is unsolved for years now. But humans can do it easy. Is the secret to come up with a machine learning powered custom algebra system?

- Event context: AI Tinkerers Chicago August Meetup — 2024-08-20 — Chicago
- Public talk page: https://chicago.aitinkerers.org/talks/rsvp_C9wKKddDFas

### [Generación de gemelos digitales con IA](https://bogota.aitinkerers.org/talks/rsvp_UH1ZVndWelg)

En la era actual, la reconstrucción de modelos 3D del mundo real ha avanzado significativamente gracias a dos técnicas innovadoras: NERF (Neural Radiance Fields) y Gaussian Splatting. Estas técnicas, entrenadas mediante redes neuronales, están revolucionando diversos sectores como los videojuegos, el metaverso, la realidad virtual y el sector inmobiliario. Durante esta charla, abordaré los conceptos clave detrás de NERF y Gaussian Splatting, desglosando sus fundamentos y el impacto de sus aplicaciones. Además, compartiré con la audiencia herramientas prácticas y un flujo de trabajo replicable, permitiendo a cualquier persona aplicar estas técnicas en sus propios proyectos.

- Event context: Tercer AI Tinkerers Bogotá — 2024-07-25 — Bogotá
- Public talk page: https://bogota.aitinkerers.org/talks/rsvp_UH1ZVndWelg

### [Viewpoint.AI accelerated augmentation of individual and complex group decisions, by 10-1000x, Fully transparent, continuously curated by humans, delivering optimal results fro Finech, Legal, Education, Aerospace, IT, Governement and more.](https://ee.dream.page/talks/rsvp_5DqayfQPAfg)

Viewpoint AI enables groups and organizations to make complex decisions up to 100 times faster with optimal, transparent results. We apply multiple AI techniques to build and utilize verified AI digital representations of human, individual, and group decision-thinking while capturing, preserving, and organizing expert and institutional knowledge for current and future collaboration. Our patent-pending AI-generated decisions are based on innovations with human knowledge modeling (HKM). We make best use of AI technologies and patterns including, LLMs, NLPs, Neural Nets, and Machine Learning We designed our system to accommodate specific industries and processes. We currently have industry templates and models for angel and venture capital, human resources, legal, and higher learning admissions. Current customer examples include: Should we invest in this company? Should we hire this person? Should we enroll these people into our university? And many more complex decisions are available. We have many AI patents pending:

- Event context: Bellevue + Eastside Entrepreneurs / March 7, 2024 — 2024-03-08 — Eastside Entrepreneurs
- Public talk page: https://ee.dream.page/talks/rsvp_5DqayfQPAfg

## Related Technologies

- [BERT](https://aitinkerers.org/technologies/bert) ([Markdown](https://aitinkerers.org/technologies/bert.md)) — 179 public demos
- [GPT-3](https://aitinkerers.org/technologies/gpt-3) ([Markdown](https://aitinkerers.org/technologies/gpt-3.md)) — 191 public demos
- [GPT-4](https://aitinkerers.org/technologies/gpt-4) ([Markdown](https://aitinkerers.org/technologies/gpt-4.md)) — 529 public demos
- [Keras](https://aitinkerers.org/technologies/keras) ([Markdown](https://aitinkerers.org/technologies/keras.md)) — 74 public demos
- [Machine Learning](https://aitinkerers.org/technologies/machine-learning) ([Markdown](https://aitinkerers.org/technologies/machine-learning.md)) — 20 public demos
- [ONNX](https://aitinkerers.org/technologies/onnx) ([Markdown](https://aitinkerers.org/technologies/onnx.md)) — 83 public demos
- [PyTorch](https://aitinkerers.org/technologies/pytorch) ([Markdown](https://aitinkerers.org/technologies/pytorch.md)) — 273 public demos
- [scikit-learn](https://aitinkerers.org/technologies/scikit-learn) ([Markdown](https://aitinkerers.org/technologies/scikit-learn.md)) — 84 public demos
- [TensorFlow](https://aitinkerers.org/technologies/tensorflow) ([Markdown](https://aitinkerers.org/technologies/tensorflow.md)) — 90 public demos
- [3D Modeling](https://aitinkerers.org/technologies/3d-modeling) ([Markdown](https://aitinkerers.org/technologies/3d-modeling.md)) — 1 public demo
- [3D Reconstruction](https://aitinkerers.org/technologies/3d-reconstruction) ([Markdown](https://aitinkerers.org/technologies/3d-reconstruction.md)) — 1 public demo
- [AI models](https://aitinkerers.org/technologies/ai-models) ([Markdown](https://aitinkerers.org/technologies/ai-models.md)) — 6 public demos
- [APIs](https://aitinkerers.org/technologies/apis) ([Markdown](https://aitinkerers.org/technologies/apis.md)) — 19 public demos
- [BLOOM](https://aitinkerers.org/technologies/bloom) ([Markdown](https://aitinkerers.org/technologies/bloom.md)) — 115 public demos
- [Cloud computing](https://aitinkerers.org/technologies/cloud-computing) ([Markdown](https://aitinkerers.org/technologies/cloud-computing.md)) — 3 public demos
- [Deep learning](https://aitinkerers.org/technologies/deep-learning) ([Markdown](https://aitinkerers.org/technologies/deep-learning.md)) — 10 public demos
- [Gaussian Splatting](https://aitinkerers.org/technologies/gaussian-splatting) ([Markdown](https://aitinkerers.org/technologies/gaussian-splatting.md)) — 5 public demos
- [Generative AI](https://aitinkerers.org/technologies/generative-ai) ([Markdown](https://aitinkerers.org/technologies/generative-ai.md)) — 45 public demos