Ai

AI That Learns While You Use It

AI That Learns While You Use It

Sudip Roy, Co-founder & CTO of Adaption Labs, discusses how "Adaptation" using gradient-free, inference-time techniques can solve the last 5% reliability gap that stalls enterprise AI adoption, offering a more dynamic and cost-effective alternative to traditional fine-tuning or simply waiting for the next frontier model.

Bridging Neurotechnology with Immersive Systems: Getting BCIs outside of the lab?

Bridging Neurotechnology with Immersive Systems: Getting BCIs outside of the lab?

This talk by Hakim Si-Mohammed explores the evolution of Brain-Computer Interfaces (BCIs) from clinical rehabilitation tools to integral components of immersive systems. It details research on integrating BCIs with Virtual and Augmented Reality (VR/AR), focusing on SSVEP-based interaction, user experience enhancements, and the development of passive, neuro-adaptive systems that respond to user mental states to mitigate issues like cybersickness.

"Vibe Coding is a Slot Machine" - Jeremy Howard

"Vibe Coding is a Slot Machine" - Jeremy Howard

fast.ai founder Jeremy Howard critiques the 'vibe coding' illusion, arguing that AI-assisted tools create a slot machine-like experience that erodes true software engineering skills. He revisits the origins of ULMFiT, champions interactive programming for building intuition, and reframes AI risk from existential threats to the dangers of power centralization and human enfeeblement.

Beyond Swahili: Designing Inclusive AI for Bantu Languages

Beyond Swahili: Designing Inclusive AI for Bantu Languages

Alfred Malingo discusses the unique position of Swahili in AI, arguing that its structural similarities to other Bantu languages make it a far more effective pivot language than English for developing inclusive and accurate models. He deconstructs the failures of typologically mismatched transfer from Indo-European languages and presents a case study, AfriMT-a, to demonstrate how Swahili can serve as a technical bridge for machine translation and representation learning across the Bantu language family.

A2A vs MCP: AI Agent Communication Explained

A2A vs MCP: AI Agent Communication Explained

Discover how A2A (Agent2Agent) and MCP (Model Context Protocol) solve critical challenges in AI agent ecosystems. A2A enables seamless communication and collaboration between diverse AI agents, while MCP standardizes an agent's access to external tools and data, fostering robust and interoperable AI workflows.

Using Agents in Production: Past Present and Future // Euro Beinat

Using Agents in Production: Past Present and Future // Euro Beinat

A deep dive into how Prosus is deploying over 30,000 AI agents to create an 'AI Agentic Workforce'. The talk covers the transition from simple assistants to trusted senior colleagues, the internal tooling developed, and the crucial organizational strategies used to overcome adoption barriers and foster a bottom-up culture of innovation.