Data Science at Home
Episodes
Monday Jun 26, 2023
Debunking AGI Hype and Embracing Reality (Ep. 233)
Monday Jun 26, 2023
Monday Jun 26, 2023
In this thought-provoking episode, we sit down with the renowned AI expert, Filip Piekniewski, Phd, who fearlessly challenges the prevailing narratives surrounding artificial general intelligence (AGI) and the singularity. With a no-nonsense approach and a deep understanding of the field, Filip dismantles the hype and exposes some of the misconceptions about AI, LLMs and AGI. Join us as we delve into the real-world implications of AI, separating fact from fiction, and gaining a firm grasp on the tangible possibilities of AI advancement. If you're seeking a refreshingly pragmatic perspective on the future of AI, this episode is an absolute must-listen.
Filip Piekniewski Bio
Filip Piekniewski is a distinguished computer vision researcher and engineer, specializing in visual object tracking and perception. He approaches machine learning with a pragmatic mindset, recognizing its current limitations. Filip earned his Ph.D. from Warsaw University, where he explored neuroscience and later joined Brain Corporation in San Diego. His extensive study of neuroscience inspired him to develop innovative, bio-inspired machine learning architectures. Filip's unique blend of scientific curiosity and software engineering expertise allows him to quickly prototype and implement new ideas. He is known for his realistic perspective on AI, debunking AGI hype and focusing on tangible advancements.
Sponsors
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Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance.
References
https://twitter.com/filippie509
http://blog.piekniewski.info/ (On limits of deep learning and where to go next with AI.)
Wednesday May 03, 2023
Wednesday May 03, 2023
This is the first episode about the latest trend in artificial intelligence that's shaking up the industry - running large language models locally on your machine. This new approach allows you to bypass the limitations and constraints of cloud-based models controlled by big tech companies, and take control of your own AI journey.
We'll delve into the benefits of running models locally, such as increased speed, improved privacy and security, and greater customization and flexibility. We'll also discuss the technical requirements and considerations for running these models on your own hardware, and provide practical tips and advice to get you started.
Join us as we uncover the secrets to unleashing the full potential of large language models and taking your AI game to the next level!
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References
https://agi-sphere.com/llama-models/
https://crfm.stanford.edu/2023/03/13/alpaca.html
https://beebom.com/how-run-chatgpt-like-language-model-pc-offline/
https://sharegpt.com/
https://stability.ai/
Tuesday Feb 21, 2023
Deep learning vs tabular models (Ep. 217)
Tuesday Feb 21, 2023
Tuesday Feb 21, 2023
Deep learning methods are not as effective with tabular data. Here is why, and what to do about it.
Sponsors
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References
https://paperswithcode.com/methods/category/deep-tabular-learning
https://m-clark.github.io/posts/2022-04-01-more-dl-for-tabular/
Monday Nov 21, 2022
Autonomous cars cannot drive. Here is why. (Ep. 210)
Monday Nov 21, 2022
Monday Nov 21, 2022
If you think that the problem of self-driving cars has been solved, think twice.As a matter of fact, the problem of self-driving cars cannot be solved with the technical solutions that companies are currently considering. Don't get fooled by marketing and PR on social media. Whoever is telling you they solved the problem of driving a vehicle fully autonomously, they are lying.Here is why.
Our Sponsors
Explore the Complex World of Regulations. Compliance can be overwhelming. Multiple frameworks. Overlapping requirements. Let Arctic Wolf be your guide.Check it out at https://arcticwolf.com/datascience
Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Healthcare/RWE, and Predictive maintenance.
Tuesday Oct 25, 2022
Private machine learning done right (Ep. 207)
Tuesday Oct 25, 2022
Tuesday Oct 25, 2022
There are many solutions to private machine learning. I am pretty confident when I say that the one we are speaking in this episode is probably one of the most feasible and reliable.I am with Daniel Huynh, CEO of Mithril Security, a graduate from Ecole Polytechnique with a specialisation in AI and data science. He worked at Microsoft on Privacy Enhancing Technologies under the office of the CTO of Microsoft France. He has written articles on Homomorphic Encryptions with the CKKS explained series (https://blog.openmined.org/ckks-explained-part-1-simple-encoding-and-decoding/). He is now focusing on Confidential Computing at Mithril Security and has written extensive articles on the topic: https://blog.mithrilsecurity.io/.
In this show we speak about confidential computing, SGX and private machine learning
References
Mithril Security: https://www.mithrilsecurity.io/
BindAI GitHub: https://github.com/mithril-security/blindai
Use cases for BlindAI:Deploy Transformers models with confidentiality: https://blog.mithrilsecurity.io/transformers-with-confidentiality/
Confidential medical image analysis with COVID-Net and BlindAI: https://blog.mithrilsecurity.io/confidential-covidnet-with-blindai/
Build a privacy-by-design voice assistant with BlindAI: https://blog.mithrilsecurity.io/privacy-voice-ai-with-blindai/
Confidential Computing Explained: https://blog.mithrilsecurity.io/confidential-computing-explained-part-1-introduction/
Confidential Computing Consortium: https://confidentialcomputing.io/
Confidential Computing White Papers: https://confidentialcomputing.io/white-papers-reports/
List of Intel processors with Intel SGX:https://www.intel.com/content/www/us/en/support/articles/000028173/processors.html
https://github.com/ayeks/SGX-hardware
Azure Confidential Computing VMs with SGX:Azure Docs: https://docs.microsoft.com/en-us/azure/confidential-computing/confidential-computing-enclaves
How to deploy BlindAI on Azure: https://docs.mithrilsecurity.io/getting-started/cloud-deployment/azure-dcsv3
Confidential Computing 101: https://www.youtube.com/watch?v=77U12Ss38Zc
Rust: https://www.rust-lang.org/
ONNX: https://github.com/onnx/onnx
Tract, a Rust inference engine for ONNX models: https://github.com/sonos/tract
Tuesday Sep 13, 2022
Is studying AI in academia a waste of time? (Ep. 202)
Tuesday Sep 13, 2022
Tuesday Sep 13, 2022
Companies and other business entities are actively involved in defining data products and applied research every year. Academia has always played a role in creating new methods and solutions/algorithms in the fields of machine learning and artificial intelligence.However, there is doubt about how powerful and effective such research efforts are.Is studying AI in academia a waste of time?
Our Sponsors
Explore the Complex World of Regulations. Compliance can be overwhelming. Multiple frameworks. Overlapping requirements. Let Arctic Wolf be your guide.Check it out at https://arcticwolf.com/datascience
Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Healthcare/RWE, and Predictive maintenance.
Monday Jun 13, 2022
Online learning is better than batch, right? Wrong! (Ep. 200)
Monday Jun 13, 2022
Monday Jun 13, 2022
In this episode I speak about online learning systems and why blindly choosing such a paradigm can lead to very unpredictable and expensive outcomes.Also in this episode, I have to deal with an intruder :)
Links
Birman, K.; Joseph, T. (1987). "Exploiting virtual synchrony in distributed systems". Proceedings of the Eleventh ACM Symposium on Operating Systems Principles - SOSP '87. pp. 123–138. doi:10.1145/41457.37515. ISBN 089791242X. S2CID 7739589.
Friday Apr 01, 2022
Batteries and AI in Automotive (Ep. 193)
Friday Apr 01, 2022
Friday Apr 01, 2022
In this episode my friend and I speak about AI, batteries and automotive.Dennis Berner, founder of Digitlabs has been operating in the field of automotive and batteries for a long time. His point of views are absolutely a must to listen to. Below a list of the links he mentioned in the show.
https://amethix.com
https://digitlabs.com
https://www.moia.io
https://www.elli.eco
https://www.uber.com
https://www.didiglobal.com/
https://waymo.com/
https://group.mercedes-benz.com/
https://www.fakultaet73.de
https://www.bmw.de
https://www.volkswagen.de
https://cariad.technology/
Wednesday Mar 02, 2022
What is spatial data science? With Matt Forest from Carto (Ep. 190)
Wednesday Mar 02, 2022
Wednesday Mar 02, 2022
In this episode I am with Matt Forrest, VP of Solutions Engineering at Carto. We speak about machine learning applied to spatial data, spatial SQL and GIS (Geographic Information System).Enjoy the show!
This episode is brought to you by RailzAI
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and by Amethix Technologies
Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.
References
Carto https://carto.com
Spatial Feature Engineering: https://geographicdata.science/book/intro.html
CARTO Blog: https://carto.com/blog/
Spatial SQL Resources: https://forrest.nyc/learn-spatial-sql/
Spatial Data Science: https://forrest.nyc/geospatial-python
Wednesday Feb 16, 2022
History of data science [RB] (Ep. 188)
Wednesday Feb 16, 2022
Wednesday Feb 16, 2022
How did we get here? Who invented the methods data scientists use every day?
We answer such questions and much more in this wonderful episode with Triveni Gandhi, Senior Data Scientist and Shaun McGirr, AI Evangelist at Dataiku. We cover topics about the history of data science, ethical AI and...
This episode is brought to you by Dataiku
With Dataiku, you have everything you need to build and deploy AI projects in one place, including easy-to-use data preparation and pipelines, AutoML, and advanced automation.
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and by Amethix Technologies
Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.
References
www.historyofdatascience.com