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aihub.org·há 17 dias

AIhub monthly digest: July 2026 – time-series anomaly detection, music generation, and RoboCup in action

Welcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, recap recent events, and more. This month, we find out about time-series anoma

aihub.org·há cerca de 1 mês

Interview with Thi Kieu Khanh Ho: Time-series anomaly detection

The latest interview in our series with the AAAI/SIGAI Doctoral Consortium participants features Thi Kieu Khanh Ho who is studying time-series anomaly detection. We found out more about her research,

aihub.org·há 3 meses

Reflections from #AIES2025 - ΑΙhub

In this piece, we reflect on AIES 2025, and outline the conversations and presentations from a discussion session on LLMs in the context of clinical usage and human rights. This is a crosspost from th

aihub.org·há 4 meses

AIhub monthly digest: April 2026 – machine learning for particle physics, AI Index Report, and table tennis - ΑΙhub

Welcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, recap recent events, and more. This month, we meet PhD students and early-care

aihub.org·há 4 meses

Interview with Deepika Vemuri: interpretability and concept-based learning - ΑΙhub

The latest interview in our series with the AAAI/SIGAI Doctoral Consortium participants features Deepika Vemuri who is working on interpretability and concept-based learning. We found out more about t

aihub.org·há 4 meses

Scaling up multi-agent systems: an interview with Minghong Geng - ΑΙhub

In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. Minghong Geng recently completed his PhD and is now working as a

aihub.org·há 5 meses

Resource-constrained image generation and visual understanding: an interview with Aniket Roy - ΑΙhub

In the latest in our series of interviews meeting the AAAI/SIGAI Doctoral Consortium participants, we caught up with Aniket Roy to find out more about his research on generative models for computer vi

aihub.org·há 5 meses

A principled approach for data bias mitigation - ΑΙhub

Scale and Charts Emojis by OpenMoji (CC BY-SA 4.0) via Streamline. Machine learning models are increasingly used to make high-stakes decisions, from predicting who gets a loan to estimating the likel