Announcing Raia Hadsell (Google DeepMind) at RAAIS 2026

Key Takeaways

• Raia Hadsell returns as RAAIS 2026 speaker.
• VP of Research, DeepMind co-leads Frontier AI unit.
• Pioneered elastic weight consolidation for catastrophic forgetting.
• Leads work on Gemini, Gemma, RoboCat robotic agents.
• Serves as UK AI Ambassador influencing policy.

Pulse Analysis

The Research and Applied AI Summit (RAAIS) has built a reputation as a crucible where academia meets industry, and the 2026 edition gains extra gravitas with Raia Hadsell’s return. Hadsell joined DeepMind when it was a 50‑person startup and has risen to VP of Research, co‑leading the Frontier AI unit that drives the company’s most ambitious models. Her presence signals that the summit will delve deep into the technical and strategic challenges of next‑generation AI, offering attendees a rare glimpse into the roadmap of a leading AI lab.

Hadsell’s research portfolio is anchored by breakthroughs in continual and transfer learning, most notably elastic weight consolidation, a technique that mitigates catastrophic forgetting. This work underpins today’s multitask and lifelong learning frameworks, enabling AI systems to retain prior knowledge while acquiring new skills—a prerequisite for deploying models outside static data centers. Her recent robotics projects, such as RoboCat and bipedal agents trained for agile soccer, illustrate how these principles translate into embodied intelligence, bridging the gap between language models and physical agents.

Beyond the lab, Hadsell shapes AI policy as the UK government’s AI Ambassador and steers scholarly discourse through roles at TMLR, CoRL and WiML. Her influence ensures that technical advances align with regulatory expectations, a concern for enterprises eyeing large‑scale AI adoption. For business leaders, her RAAIS talk promises actionable insights on integrating frontier foundation models, reinforcement‑learning‑based robotics, and continual learning pipelines into commercial products, positioning firms to stay competitive in an increasingly AI‑driven market.