Activities

IDEALondon, 69 Wilson Street, London EC2A 2BB

Tuesday 21 October, 18:00 – 21:00

From semiconductors and photonics to networking and next-gen chips, the future of AI is being built on a foundation of cutting-edge hardware. Join us for a dynamic panel discussion exploring the technologies powering AI at scale and the innovation, investment, and policy shaping their trajectory. Panellists include: Tony Kenyon, Professor of Nanoelectronic & Nanophotonic Materials at UCL Engineering and Founder & CSO at Intrinsic Semiconductor Technologies; Sebastian Hunte, Investment Director at AlbionVC; and Tanya Mangoma, Founder & CEO at HyperCIM, and Rob Thompson, Vice-Dean (Enterprise) at UCL Engineering is moderating.

This is the first event in UCL Engineering’s Deeptech Futures: Conversations at the edge of what’s possible series, sponsored by AlbionVC, which puts leading academics, pioneering founders, and thought leaders in the same room to explore how breakthrough technologies will reshape the way we live, and the opportunities they’ll create. Each event focuses on a different technology area in which UCL is world-leading, from immersive reality and robotics to climate engineering and space innovation, unpacking both the science and the real-world pathways to impact.

Major & Minor Meetings:

Invite international speakers, facilitate roundtables, focus on exchange of ideas.

Objectives:

Create synergy among different fields (materials science, device engineering, circuit design, etc.).

1^st Minor Meeting:
Kick off meeting, Trinity College, Cambridge, 23-25th September 2025 2pm check-in on 23rd, check-out 2pm on 25th Dinner at 7:30pm on both 23rd and 24th.

Overview:

Exploring innovative, brain-inspired methodologies to advance low-power computing paradigms.

Hosted by:

Collaborating institutions, enabling interdisciplinary exchange and knowledge sharing.

Undergraduate Placements:

Awarded to promote interest in neuromorphic hardware research.

Hosted by:

Partnering institutions, fostering cross-institutional learning.

Workshops & Lectures:

Led by academics and industry experts on crucial topics in AI hardware.

Hands-On Skill Development:

Encouraging EDI (Equality, Diversity, Inclusion) and responsible research values.

Website & Social Media:

Showcase events, share resources, highlight success stories.

Podcasts & Videos:

Developed by early-career researchers to reach broader audiences.

Collective Vision:

Shape a community-driven roadmap for challenges in neuromorphic hardware.

Dissemination:

Publish a summary report for policymakers, funders, and industry leaders.

Terms of Reference