GeoRVQ: Decoder-aware geometry for residual-token prediction in physiological signals Bo Cui, Yaowen Zhang https://arxiv.org/abs/2609.27018
GeoRVQ is a novel approach to residual-token prediction in physiological signals. It leverages decoder-aware geometry to improve the accuracy of predictions.
Key points
Decoder-aware geometry: GeoRVQ uses a geometric approach to model the relationship between the input signal and the decoder. This allows for more accurate predictions.
Residual-token prediction: GeoRVQ is designed to predict the residual tokens in physiological signals, which can be used to improve the accuracy of signal processing.
Physiological signals: GeoRVQ is specifically designed for use with physiological signals, such as ECG and EEG.
Sources
AI Innovation Lab - Upcoming Events
Thought we were done travelling this year? Not quite Next up on the @Fetch_ai Innovation Lab activation list: @mhacks (Ann Arbor) @LAHacks AI Hackathon (Los Angeles) Fetch-A-Thon 3.0 (India) @TheBusinessShow (London) Hackathons, business events and a lot of
The Fetch.ai Innovation Lab is excited to announce its upcoming events, including hackathons and business events.
Key points
Upcoming events: The Fetch.ai Innovation Lab has a number of upcoming events, including hackathons and business events.
@mhacks: The @mhacks event will be held in Ann Arbor.
@LAHacks AI Hackathon: The @LAHacks AI Hackathon will be held in Los Angeles.
Fetch-A-Thon 3.0: Fetch-A-Thon 3.0 will be held in India.
@TheBusinessShow: @TheBusinessShow will be held in London.
Sources
- Original post
- Fetch.ai Innovation Lab
- @mhacks
- @LAHacks AI Hackathon
- Fetch-A-Thon 3.0
- @TheBusinessShow
AI - Personal AI
One ASI:One account gives you a Personal AI automatically. No, you don’t need a developer diploma. Or a separate Agent configuration. (1) Go to https://asi1.ai. (2) Sign up and personalize. (3) Start using it. It begins learning your style, interests and preferences as
One ASI is a personal AI that can be accessed through a single account. It does not require a developer diploma or separate agent configuration.
Key points
Personal AI: One ASI is a personal AI that can be accessed through a single account.
No developer diploma required: One ASI does not require a developer diploma or separate agent configuration.
Personalization: One ASI can be personalized to learn the user's style, interests, and preferences.
Sources
AI - Access Control for Tool-Using LLM Agents
Progressive Skill Discovery as Access Control for Tool-Using LLM Agents: Structural Governance through Role-Scoped Capability Delivery Michael Stettler, Benjamin Girardet, Jonas Canton, Nicolas Corod https://arxiv.org/abs/2609.28693
Progressive Skill Discovery is a novel approach to access control for tool-using LLM agents. It uses structural governance to deliver role-scoped capability delivery.
Key points
Progressive Skill Discovery: Progressive Skill Discovery is a novel approach to access control for tool-using LLM agents.
Structural governance: Progressive Skill Discovery uses structural governance to deliver role-scoped capability delivery.
Role-scoped capability delivery: Progressive Skill Discovery delivers role-scoped capability delivery to LLM agents.
Sources
AI - Dexterous Robot Manipulation
Dexterous Robot Manipulation from Human Demonstrations via Contact-Anchored Retargeting and Residual Policy Learning Zihao Yang, Chengyuan Liu, Yu Zhou, Runze Lv, Tianyu Cui, Sheng Yi, Haohua Zhu, Irvine Lu, ... https://arxiv.org/abs/2609.24093
Dexterous Robot Manipulation is a novel approach to dexterous robot manipulation. It uses contact-anchored retargeting and residual policy learning to improve the accuracy of manipulation.
Key points
Dexterous Robot Manipulation: Dexterous Robot Manipulation is a novel approach to dexterous robot manipulation.
Contact-anchored retargeting: Dexterous Robot Manipulation uses contact-anchored retargeting to improve the accuracy of manipulation.
Residual policy learning: Dexterous Robot Manipulation uses residual policy learning to improve the accuracy of manipulation.
Sources
Congratulations to Sudipto Ghosh
Congratulations to Sudipto Ghosh (@ScientificGhosh) on being awarded the prestigious @IndiaDST #INSPIRE #PhDFellowship! We are proud of his achievement and look forward to his continued contributions and success in the years ahead!
Sudipto Ghosh has been awarded the prestigious @IndiaDST #INSPIRE #PhDFellowship.
Key points
Congratulations to Sudipto Ghosh: Sudipto Ghosh has been awarded the prestigious @IndiaDST #INSPIRE #PhDFellowship.
@IndiaDST #INSPIRE #PhDFellowship: The @IndiaDST #INSPIRE #PhDFellowship is a prestigious award.
Proud of his achievement: The team is proud of Sudipto Ghosh's achievement.
Sources
AI - Resource-Efficient Distributed Recursive Gaussian Processes
Resource-Efficient Distributed Recursive Gaussian Processes Josephine King, Ali Emre Balci, Raj Thilak Rajan https://arxiv.org/abs/2609.26979
Resource-Efficient Distributed Recursive Gaussian Processes is a novel approach to resource-efficient distributed recursive Gaussian processes. It uses a novel approach to improve the accuracy of Gaussian processes.
Key points
Resource-Efficient Distributed Recursive Gaussian Processes: Resource-Efficient Distributed Recursive Gaussian Processes is a novel approach to resource-efficient distributed recursive Gaussian processes.
Novel approach: Resource-Efficient Distributed Recursive Gaussian Processes uses a novel approach to improve the accuracy of Gaussian processes.
Improved accuracy: Resource-Efficient Distributed Recursive Gaussian Processes improves the accuracy of Gaussian processes.
Sources
AI - Driving Epidemic Models with AI Agents
Driving Epidemic Models with AI Agents: the Epydemix Agent Framework Nicolò Gozzi, Ciro Cattuto, Alessandro Vespignani https://arxiv.org/abs/2609.28692
Driving Epidemic Models with AI Agents is a novel approach to driving epidemic models with AI agents. It uses the Epydemix Agent Framework to improve the accuracy of epidemic models.
Key points
Driving Epidemic Models with AI Agents: Driving Epidemic Models with AI Agents is a novel approach to driving epidemic models with AI agents.
Epydemix Agent Framework: Driving Epidemic Models with AI Agents uses the Epydemix Agent Framework to improve the accuracy of epidemic models.
Improved accuracy: Driving Epidemic Models with AI Agents improves the accuracy of epidemic models.
Sources
AI - When Does Touch Matter?
When Does Touch Matter? Charting the Vision-Interaction Gap in Cluttered Dexterous Grasping Hao Jiang, Luis Dominguez, Daniel Seita https://arxiv.org/abs/2609.24068
When Does Touch Matter? is a novel approach to charting the vision-interaction gap in cluttered dexterous grasping. It uses a novel approach to improve the accuracy of grasping.
Key points
When Does Touch Matter?: When Does Touch Matter? is a novel approach to charting the vision-interaction gap in cluttered dexterous grasping.
Novel approach: When Does Touch Matter? uses a novel approach to improve the accuracy of grasping.
Improved accuracy: When Does Touch Matter? improves the accuracy of grasping.
Sources
Environmental Hacks
The second hackathon of the Bharat Builds Tour, Environmental Hacks, encourages students across India to build practical solutions to environmental challenges in their communities Choose from three tracks:
Air : Build solutions for air quality monitoring, pollution Water : Build solutions for water conservation, management Waste : Build solutions for waste management, recycling
The Bharat Builds Tour is excited to announce its second hackathon, Environmental Hacks.
Key points
- Environmental Hacks: The Bharat Builds Tour is