Johan Pouwelse

Results 836 comments of Johan Pouwelse

Proposal: a dedicated sprint to implementing a basic search engine. - in a 3 week sprint: create a small Create Commons dataset, extract keywords, learn keyword associated with a swarm....

- solid progress in your part-time thesis startup. - clean scrape now done ```sample.json``` - make a simple android .APK that installs on my phone, new superapp icon - it...

Question: how impressed/intimidated/confused are you about recent ML/LLM/Diffusion explosion? @quintene answer: innovation speed is ```fast/sophisticed``` due to everybody building on top of each other. Johan note: [What does a leaked...

- Working "Peer AI" superapp ! - matching search query with {local-only} music dataset - please look [at this release of Superapp](https://github.com/rmadhwal/trustchain-superapp/releases/tag/2) - build upon an operational machine learning prototype?...

- ```BeyondFederated``` Nice title! - ```Developing a music search engine within a peer-to-peer (P2P) network presents significant challenges due to the limited availability of peers, lack of trust, and dynamic...

- Still very much in exploratory phase!? - Big picture is still unclear, unsupervised approach? What are you optimising? learning phase? Cost function? - Approximate search, cluster search, vector cloud.....

Pleas ensure to cite this work in your thesis, [AI Benchmark: All About Deep Learning on Smartphones in 2019](https://arxiv.org/pdf/1910.06663.pdf). website of [ETH-Z en-device AI benchmarking](http://ai-benchmark.com/), includes S23 results. UPDATE: Youtube...

- ToDo: meeting with @qstokkink and the new phd on learn-to-rank. - GOAL: BeyondFederated - a fully decentralised semantic search machine learning - Thesis pictures: Cluster vector space and zoom...

- Scientific architecture: loss function minimisation of (mis-)clicks on recommended items. - self-supervised learning. ToDo: model, feedback, loss and architecture. - Personalised learning and semantic search. - cold start problem:...

- focus on single .APK, first get running code, push code!! and only then focus again on decentral AI - Failure to scale of "[Scalable Nearest Neighbors](https://github.com/google-research/google-research/tree/master/scann)" by Google Research...