The Rise of the Cognitive Architect

A longer read about how Asimov’s Robopsychologist might be coming to life in AI as the Cognitive Architect. Last week at AI Engineer World Fair in San Francisco, engineers and technologists presented cutting-edge AI technology being developed. The conference was motivated by a think piece published by @swyx and @FanaHOVA, defining the role of the … Read more

How to Build an Effective Technical Team: A Comprehensive Guide

What is a technical team? A technical team is a team that does not deal with business tasks. So, what does it do? There are several approaches to structuring technical teams. Some companies create specialized teams for particular tasks: supporting development tools, breaking down a monolith, building component libraries, etc. This approach is straightforward: there’s … Read more

Everything You Need to Know About Acceptance Testing

Acceptance testing involves validating an acceptance of the software application from the user’s perspective. The software application is evaluated for compliance with business requirements to determine whether it is acceptable for release. Performing tests in the Software Development Life Cycle (SDLC) is crucial to verify the software application for any bugs and quality. Throughout the … Read more

Load Balancing For High Performance Computing Using Quantum Annealing: Conclusions and Outlook

:::info Authors: (1) Omer Rathore, Department of Physics, Durham University; (2) Alastair Basden, Department of Physics, Durham University; (3) Nicholas Chancellor, Department of Physics, Durham University and School of Computing, Newcastle University; (4) Halim Kusumaatmaja, Department of Physics, Durham University and Institute for Multiscale Thermofluids, School of Engineering, The University of Edinburgh. ::: Table of … Read more

Load Balancing For High Performance Computing Using Quantum Annealing: Particle Based Application

:::info Authors: (1) Omer Rathore, Department of Physics, Durham University; (2) Alastair Basden, Department of Physics, Durham University; (3) Nicholas Chancellor, Department of Physics, Durham University and School of Computing, Newcastle University; (4) Halim Kusumaatmaja, Department of Physics, Durham University and Institute for Multiscale Thermofluids, School of Engineering, The University of Edinburgh. ::: Table of … Read more

Weight Distribution Estimation in Lower-Limb Exoskeletons via Deep Learning: Conclusion

:::info Authors: (1) Clement Lhos, Legs and Walking Lab of Shirley Ryan AbilityLab, Chicago, IL, USA; (2) Emek Barıs¸ Kuc¸uktabak, Legs and Walking Lab of Shirley Ryan AbilityLab, Chicago, IL, USA and Center for Robotics and Biosystems, Northwestern University, Evanston, IL, USA; (3) Lorenzo Vianello, Legs and Walking Lab of Shirley Ryan AbilityLab, Chicago, IL, … Read more

5 Open-Source Research Tools to Support via Kivach

Research is the backbone of progress in every field, from science to the humanities. It helps us understand the world better, solve problems, and improve our lives. By supporting research, we foster innovation and discovery, paving the way for a brighter, more informed future for everyone. Kivach could be a part of this as well. … Read more

How to Leverage GitHub Copilot Chat Syntax: Chat Participants, Chat Variables, and Slash Commands

:::info Author is leading Developer Productivity GTM at Microsoft Western Europe. GitHub Copilot is a part of this business area. ::: GitHub Copilot Chat is an incredibly powerful and useful feature that allows you to chat with or about your code. Even though it’s 100% natural language-friendly (i.e., you can send your messages without using … Read more

Load Balancing For High Performance Computing Using Quantum Annealing: Grid Based Application

:::info Authors: (1) Omer Rathore, Department of Physics, Durham University; (2) Alastair Basden, Department of Physics, Durham University; (3) Nicholas Chancellor, Department of Physics, Durham University and School of Computing, Newcastle University; (4) Halim Kusumaatmaja, Department of Physics, Durham University and Institute for Multiscale Thermofluids, School of Engineering, The University of Edinburgh. ::: Table of … Read more

Weight Distribution Estimation in Lower-Limb Exoskeletons via Deep Learning: Discussion

:::info Authors: (1) Clement Lhos, Legs and Walking Lab of Shirley Ryan AbilityLab, Chicago, IL, USA; (2) Emek Barıs¸ Kuc¸uktabak, Legs and Walking Lab of Shirley Ryan AbilityLab, Chicago, IL, USA and Center for Robotics and Biosystems, Northwestern University, Evanston, IL, USA; (3) Lorenzo Vianello, Legs and Walking Lab of Shirley Ryan AbilityLab, Chicago, IL, … Read more

Load Balancing For High Performance Computing Using Quantum Annealing:Smoothed Particle Hydrodynamic

:::info Authors: (1) Omer Rathore, Department of Physics, Durham University; (2) Alastair Basden, Department of Physics, Durham University; (3) Nicholas Chancellor, Department of Physics, Durham University and School of Computing, Newcastle University; (4) Halim Kusumaatmaja, Department of Physics, Durham University and Institute for Multiscale Thermofluids, School of Engineering, The University of Edinburgh. ::: Table of … Read more

Who’s Harry Potter? Approximate Unlearning in LLMs: Conclusion, Acknowledgment, and References

:::info Authors: (1) Ronen Eldan, Microsoft Research (email: roneneldan@microsoft.com); (2) Mark Russinovich, Microsoft Azure and Both authors contributed equally to this work, (email: mark.russinovich@microsoft.com). ::: Table of Links Abstract and Introduction Description of our technique Evaluation methodology Results Conclusion, Acknowledgment, and References Appendix 5 Conclusion The ambitious endeavor of teaching a Large Language Model (LLM) … Read more

Who’s Harry Potter? Approximate Unlearning in LLMs: Results

:::info Authors: (1) Ronen Eldan, Microsoft Research (email: roneneldan@microsoft.com); (2) Mark Russinovich, Microsoft Azure and Both authors contributed equally to this work, (email: mark.russinovich@microsoft.com). ::: Table of Links Abstract and Introduction Description of our technique Evaluation methodology Results Conclusion, Acknowledgment, and References Appendix 4 Results We tested our method in two settings: Meta-llama/Llama-7b-hf-chat (a 7B-parameter … Read more

Gamified Learning With An AI Board Game Tournament: Conclusion, Software and Data

:::info Authors: (1) Ken Hasselmann, ECAM Brussels School of engineering, Brussels, Belgium and Universite libre de Bruxelles, Brussels, Belgium; (2) Quentin Lurkin, ECAM Brussels School of engineering, Brussels, Belgium. ::: Table of Links Abstract and 1. Introduction Course design Course assessment Conclusion, Software and Data, Acknowledgements, and References 4. Conclusion We have presented our design … Read more

Who’s Harry Potter? Approximate Unlearning in LLMs: Evaluation methodology

:::info Authors: (1) Ronen Eldan, Microsoft Research (email: roneneldan@microsoft.com); (2) Mark Russinovich, Microsoft Azure and Both authors contributed equally to this work, (email: mark.russinovich@microsoft.com). ::: Table of Links Abstract and Introduction Description of our technique Evaluation methodology Results Conclusion, Acknowledgment, and References Appendix 3 Evaluation methodology To adequately assess the efficacy of our unlearning technique, … Read more

Who’s Harry Potter? Approximate Unlearning in LLMs: Description of our technique

:::info Authors: (1) Ronen Eldan, Microsoft Research (email: roneneldan@microsoft.com); (2) Mark Russinovich, Microsoft Azure and Both authors contributed equally to this work, (email: mark.russinovich@microsoft.com). ::: Table of Links Abstract and Introduction Description of our technique Evaluation methodology Results Conclusion, Acknowledgment, and References Appendix 2 Description of our technique Assume that a generative language model has … Read more

Who’s Harry Potter? Approximate Unlearning in LLMs: Appendix

:::info Authors: (1) Ronen Eldan, Microsoft Research (email: roneneldan@microsoft.com); (2) Mark Russinovich, Microsoft Azure and Both authors contributed equally to this work, (email: mark.russinovich@microsoft.com). ::: Table of Links Abstract and Introduction Description of our technique Evaluation methodology Results Conclusion, Acknowledgment, and References Appendix 6 Appendix 6.1 Further examples Figure 6 gives further examples for prompt … Read more

Who’s Harry Potter? Approximate Unlearning in LLMs: Abstract and Introduction

:::info Authors: (1) Ronen Eldan, Microsoft Research (email: roneneldan@microsoft.com); (2) Mark Russinovich, Microsoft Azure and Both authors contributed equally to this work, (email: mark.russinovich@microsoft.com). ::: Table of Links Abstract and Introduction Description of our technique Evaluation methodology Results Conclusion, Acknowledgment, and References Appendix Abstract Large language models (LLMs) are trained on massive internet corpora that … Read more

Weight Distribution Estimation in Lower-Limb Exoskeletons via Deep Learning: Results

:::info Authors: (1) Clement Lhos, Legs and Walking Lab of Shirley Ryan AbilityLab, Chicago, IL, USA; (2) Emek Barıs¸ Kuc¸uktabak, Legs and Walking Lab of Shirley Ryan AbilityLab, Chicago, IL, USA and Center for Robotics and Biosystems, Northwestern University, Evanston, IL, USA; (3) Lorenzo Vianello, Legs and Walking Lab of Shirley Ryan AbilityLab, Chicago, IL, … Read more

Load Balancing For High Performance Computing Using Quantum Annealing: Adaptive Mesh Refinement

:::info Authors: (1) Omer Rathore, Department of Physics, Durham University; (2) Alastair Basden, Department of Physics, Durham University; (3) Nicholas Chancellor, Department of Physics, Durham University and School of Computing, Newcastle University; (4) Halim Kusumaatmaja, Department of Physics, Durham University and Institute for Multiscale Thermofluids, School of Engineering, The University of Edinburgh. ::: Table of … Read more

A Comprehensive Guide to Wallets Within the Rootstock Ecosystem

With more than 140 dApps now integrated into the Rootstock ecosystem and the growing number of users engaging with them, choosing the right wallet becomes crucial for managing assets effectively and securely. This article discusses various wallets compatible with Rootstock, providing insights into their features and compatibility. Wallets that support Rootstock, BTC, and RBTC Beexo … Read more

Diversity and Inclusion in AI: Lessons from Human and AI Collaboration

:::info Authors: (1) Muneera Bano; (2) Didar Zowghi; (3) Vincenzo Gervasi; (4) Rifat Shams. ::: Table of Links Abstract, Impact Statement, and Introduction Defining Diversity and Inclusion in AI Research Motivation Research Methodology Results Discussion Conclusion and Future Work and References VII.CONCLUSION AND FUTURE WORK In this paper we have presented our extensive research on … Read more

Gamified Learning With An AI Board Game Tournament: Course assessment

:::info Authors: (1) Ken Hasselmann, ECAM Brussels School of engineering, Brussels, Belgium and Universite libre de Bruxelles, Brussels, Belgium; (2) Quentin Lurkin, ECAM Brussels School of engineering, Brussels, Belgium. ::: Table of Links Abstract and 1. Introduction Course design Course assessment Conclusion, Software and Data, Acknowledgements, and References 3. Course assessment We did not yet … Read more

Sentient Labs Raises $85M to Challenge OpenAI, Anthropic and Gemini

In a bold move that merges two of the hottest tech trends, blockchain and artificial intelligence, a new startup is making waves in the industry. Sentient Labs, co-founded by Polygon’s Sandeep Nailwal, has secured a whopping $85 million in seed funding to develop an open-source, decentralized AI platform. The Dubai-based company, which launched in January … Read more