This Sunday, a group of 42 athletes will gather in Las Vegas to compete in a somewhat unusual sporting competition. Participants in the inaugural Enhanced Games are being encouraged to take performance-enhancing drugs. The goal is to “push the boundaries of human performance.” The games’ organizers have said that competitors will only be taking substances that […]
NICE changes stance on Genmab’s cervical cancer drug
After saying it couldn’t recommend Genmab’s cervical cancer therapy Tivdak for use by the NHS, reimbursement authority NICE has had a change of heart.
Biogen, Denali pull Parkinson’s drug after failed trial
Biogen has stopped development of Denali-partnered Parkinson’s disease candidate BIIB122, after it failed to move the needle in a phase 2b trial.
AI helps create miniprotein switches for drug targets
The UW Medicine Institute for Protein Design and Skape Bio have led a new study demonstrating for the first time that artificial intelligence methods can be used to create computationally designed proteins to activate or block G protein-coupled receptors (GPCRs) These receptors represent important but historically challenging drug targets. The findings, published in the journal […]
China’s Webworm Uses Discord, Microsoft Graphs to Hack EU Govts.
The advanced persistent threat group also relied on SOCKS proxies like SoftEther VPN, tunneling tools that act as a middleman between victim and attacker.
Tyra creates awareness day with patient advocates to shine light on a rare cancer
Tyra Biosciences has partnered with a patient advocacy group to create an awareness day for upper tract urothelial cancer, a rare tumor type its lead drug candidate targets.
A Constant-Time Implementation Methodology for Activation Functions on Microcontrollers
arXiv:2605.22441v1 Announce Type: cross Abstract: Embedded neural-network inference can leak information through timing side channels, including leakage caused by the evaluation of activation functions. This work proposes a constant-time implementation methodology for activation functions on embedded microcontrollers and validates it on ReLU, sigmoid, tanh, GELU, and Swish on an ARM Cortex-M4 platform. The proposed methodology […]
CR4T: Rewrite-Based Guardrails for Adolescent LLM Safety
arXiv:2605.21609v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly embedded in adolescent digital environments, mediating information seeking, advice, and emotionally sensitive interactions. Yet existing safety mechanisms remain largely grounded in adult-centric norms and operationalize safety through refusal-oriented suppression. While such approaches may reduce immediate policy violations, they can also create conversational dead-ends, limit […]
Beyond Acoustic Emotion Recognition: Multimodal Pathos Analysis in Political Speech Using LLM-Based and Acoustic Emotion Models
arXiv:2605.22732v1 Announce Type: new Abstract: We investigate whether acoustic emotion recognition models can serve as proxies for the Pathos dimension in political speech analysis, as operationalised by the TRUST multi-agent large language model (LLM) pipeline. Using a Bundestag plenary speech by Felix Banaszak (51 segments, 245 s) as a case study, we compare three analysis […]
Towards Open World Sound Event Detection
arXiv:2605.03934v2 Announce Type: replace-cross Abstract: Sound Event Detection (SED) plays a vital role in audio understanding, with applications in surveillance, smart cities, healthcare, and multimedia indexing. However, conventional SED systems operate under a closed-world assumption, limiting their effectiveness in real-world environments where novel acoustic events frequently emerge. Inspired by the success of open-world learning in […]
DeferMem: Query-Time Evidence Distillation via Reinforcement Learning for Long-Term Memory QA
arXiv:2605.22411v1 Announce Type: cross Abstract: Large language model (LLM) agents still struggle with long-term memory question answering, where answer-supporting evidence is often scattered across long conversational histories and buried in substantial irrelevant content. Existing memory systems typically process memory before future queries are known, then retrieve the resulting units based on similarity rather than their […]
How to Build Marcus’s Algebraic Mind: Algebro-Deterministic Substrate over Galois Fields
arXiv:2605.21379v2 Announce Type: replace-cross Abstract: In The Algebraic Mind, Gary Marcus identified three components essential for any adequate cognitive architecture: operations over variables, recursively structured representations, and a distinction between mental representations of individuals and kinds. He argued that standard multilayer perceptrons supported none of these, acknowledging that a neural implementation using registers and treelets, […]