Investors have pumped $60 million into Gilgamesh Pharma to test a handful of psychedelics and other experimental neuroscience medicines that the biotech hasn’t yet promised to a partner. The New York City biotech
MSD rumoured to be nearing $6bn play for Terns Pharma
MSD’s glut of pipeline-boosting deals in the build-up to a looming patent cliff is reported to be continuing with a $6bn bid to acquire Terns Pharma.
Update: Rumour confirmed as MSD buys Terns for $6.7bn
MSD’s glut of pipeline-boosting deals in the build-up to a looming patent cliff has continued with a $6.7bn bid to acquire Terns Pharma.
The AI Hype Index: AI goes to war
AI is at war. Anthropic and the Pentagon feuded over how to weaponize Anthropic’s AI model Claude; then OpenAI swept the Pentagon off its feet with an “opportunistic and sloppy” deal. Users quit ChatGPT in droves. People marched through London in the biggest protest against AI to date. If you’re keeping score, Anthropic—the company founded […]
Planning and delivering co-creation workshops: practical lessons from digital health device design
Co-creation methods are increasingly recognised as essential in digital health and care, yet engineers and physical scientists new to the field often find the literature highly theoretical, fragmented, and difficult to apply in practice. This paper presents a worked example of planning and delivering co-creation workshops through the development of an overactive bladder treatment device. […]
Artificial intelligence in rehabilitation: a review of clinical effectiveness, real-world performance, safety, and equity across modalities and settings
BackgroundRehabilitation faces a scale problem: millions who could benefit lack timely, effective services. Artificial intelligence (AI) and device-based modalities (e.g., robotics and VR) can extend reach and personalise care when validated, yet decision-makers lack a consolidated view of clinical usefulness, translation to practice, safety, equity, and cost.MethodsWe conducted an umbrella review of reviews using a […]
Iran Hacktivists Make Noise but Have Little Impact on War
Iran-aligned groups are trying to make their mark in the Gulf, but the results have fallen short of remarkable.
A Multi-Task Targeted Learning Framework for Lithium-Ion Battery State-of-Health and Remaining Useful Life
arXiv:2603.22323v1 Announce Type: cross Abstract: Accurately predicting the state-of-health (SOH) and remaining useful life (RUL) of lithium-ion batteries is crucial for ensuring the safe and efficient operation of electric vehicles while minimizing associated risks. However, current deep learning methods are limited in their ability to selectively extract features and model time dependencies for these two […]
General Machine Learning: Theory for Learning Under Variable Regimes
arXiv:2603.23220v1 Announce Type: cross Abstract: We study learning under regime variation, where the learner, its memory state, and the evaluative conditions may evolve over time. This paper is a foundational and structural contribution: its goal is to define the core learning-theoretic objects required for such settings and to establish their first theorem-supporting consequences. The paper […]
MERIT: Memory-Enhanced Retrieval for Interpretable Knowledge Tracing
arXiv:2603.22289v1 Announce Type: cross Abstract: Knowledge Tracing (KT) models students’ evolving knowledge states to predict future performance, serving as a foundation for personalized education. While traditional deep learning models achieve high accuracy, they often lack interpretability. Large Language Models (LLMs) offer strong reasoning capabilities but struggle with limited context windows and hallucinations. Furthermore, existing LLM-based […]
Energy-Aware Reinforcement Learning for Robotic Manipulation of Articulated Components in Infrastructure Operation and Maintenance
arXiv:2602.12288v3 Announce Type: replace-cross Abstract: With the growth of intelligent civil infrastructure and smart cities, operation and maintenance (O&M) increasingly requires safe, efficient, and energy-conscious robotic manipulation of articulated components, including access doors, service drawers, and pipeline valves. However, existing robotic approaches either focus primarily on grasping or target object-specific articulated manipulation, and they rarely […]
MARS: toward more efficient multi-agent collaboration for LLM reasoning
arXiv:2509.20502v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have achieved impressive results in natural language understanding, yet their reasoning capabilities remain limited when operating as single agents. Multi-Agent Debate (MAD) has been proposed to address this limitation by enabling collaborative reasoning among multiple models in a round-table debate manner. While effective, MAD introduces substantial […]