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A flagship AI initiative of @ImperialCollege.
London
Joined December 2021
🚀 AI in Science Fellowships – Applications Now Open!. The I-X Centre for AI in Science @IX_AI_SciCentre is recruiting up to 19 fellows to join their prestigious programme and accelerate artificial intelligence research in Engineering, Natural and Mathematical Sciences. 1/5.
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The I-X Women in AI Network's Early Career Development Grant Round 4 is open for applications. We encourage women and non-binary individuals pursuing their Master’s, PhD, or Postdoc at @imperialcollege to apply. 🗓️ Deadline: 30 September. 🔗 Apply now:
imperial.ac.uk
Find out more about I-X Women in AI Network (IX-WAI)
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RT @fetch_ai_IL: Our Internship Applications for Fall 2025 are now CLOSED! 🏁. After reviewing 500+ applications, we're honestly blown away….
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The fellowships are flexible and independent. Fellows are offered bespoke training and 1-on-1 career development support and join a collocated cohort of top AI scholars based in the I-Hub. 🔗 Find out more and apply: @schmidtsciences @imperialcollege.
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✅ 1 post: 1-year Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship, supported by Schmidt Sciences linked with @AIMS_Next South Africa.✅ 2 posts: 1-year Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship, supported by Schmidt Sciences linked with NCBS.3/5.
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Next week, Dr Dandan Zhang (I-X & @ImperialBioeng) and Dr Qingbiao Li will be hosting the 1st Trustworthy Embodied Intelligence in Healthcare Symposium. 📅 Thursdady, 17 July.🕚 9AM–5:30PM.📍 Hybrid: I-X, White City & MS Teams. 🔗 Learn more and register:
intelligentrobotics-acrossscales.com
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RT @Imperial_NetSys: Appearing at @PET_Symposium next week, work from our group at @ImperialX_AI :. “TeleSparse: Practical Privacy-Preserv….
github.com
verifiable and privacy-preserving inference via sparse neural networks by ZK-SNARKs schema (halo2) - mammadmaheri7/TeleSparseRepo
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Using AI to Understand Pathogen Spread 🧬. In our latest blog post, Dr Manolo Perez @ManoloLearning (AI in Science Postdoctoral Fellowship alumnus supported by @schmidtsciences) discusses his AI-driven approach to analysing pathogen evolution. 🔗
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Join us for the next I-X Research Talkwith Dr Zhijing Jin (University of Toronto), who will present a talk titled: "Can LLMs Achieve Causal Reasoning and Cooperation?". 📅 Friday, 11 July.🕚 11AM – 12PM .📍 Hybrid: I-X, White City & MS Teams. 🔗 Register:
ix.imperial.ac.uk
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RT @ImperialIdeas: 🤔What does the future look like? It's a question our @ICTechForesight Foresight team ask consta….
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We are excited to share that Dr Benedikt Maier, AI in Science Postdoctoral Fellow, has been awarded a COST Action Grant to lead a new European research network focused on edge deep learning for particle physics. @ImperialPhysics @schmidtsciences.
imperial.ac.uk
COST ACTION FUNDING - The European Cooperation in Science and Technology (COST) has awarded funding to establish an innovative network
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Posters .🗓 1 July | 4:30 - 5:30PM.📍 Aula Magna . Mohammad Maheri (I-X & Computing): Verifiable Unlearning on Edge. Zhonghao Zhan (I-X & Computing): Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis.
arxiv.org
Graph Neural Networks (GNNs) show great promise for Network Intrusion Detection Systems (NIDS), particularly in IoT environments, but suffer performance degradation due to distribution drift and...
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🗓 4 July | 11:30 AM – 1:00 PM.📍SysTEX Workshop | Room 10C.Sina Abdollahi (I-X & Computing), Mohammad Maheri , Sandra Siby, Marios Kogias, & Hamed Haddadi: "Experience with Confidential Computing Architecture for On-Device Model Protection". 3/4.
arxiv.org
Deploying machine learning (ML) models on user devices can improve privacy (by keeping data local) and reduce inference latency. Trusted Execution Environments (TEEs) are a practical solution for...
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🗓 3 July | 9:10 – 11:00 AM.📍 Session: Crypto/ML | Aula Magna .Hamed Haddadi (I-X & @ICComputing), Xavier Cadet, Mohammad Malekzadeh, and Anastasia Borovykh: "Deep Unlearn: Benchmarking Machine Unlearning for Image Classification". 2/4.
arxiv.org
Machine unlearning (MU) aims to remove the influence of particular data points from the learnable parameters of a trained machine learning model. This is a crucial capability in light of data...
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RT @ImperialECRI: Join us on Wednesday 2 July for the Early Career Researcher Showcase! 🎉. Meet our fantastic research community, hear abou….
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💬Q&A Panelists: Marion Brooks, A.K. Ola Hekselman, Nora Kassner, Niki Kotecha, Sabrina Li, and Francesca Toni. 🏢 Company Representatives and Exhibitors: @Arm, @BeyondMathLtd, @instadeepai, SurgeryAI, and Olga Kotova (@BCG). 3/3.
blogs.imperial.ac.uk
On 11 June 2025, the I-X Women in AI (IX-WAI) Network hosted its very first Women in Science Career Day at the Imperial White City Campus.* Designed to support and inspire women pursuing careers in...
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Last week, the I-X Women in AI Network @ix_wai hosted its very first Women in Science Career Day at the White City Campus. The event was made possible thanks to the support of I-X Centre for AI in Science (@IX_AI_SciCentre), @ImperialECRI, and @thetechbros_io. Thank you! 🙏. 1/3
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