Our round-up of recent biotech financings includes a big round for Electra, with Hemab, Zag Bio, Elevara, Expedition, and Curve also adding new funds.
Here’s why we don’t have a cold vaccine. Yet.
For those of us in the Northern Hemisphere, it’s the season of the sniffles. As the weather turns, we’re all spending more time indoors. The kids have been back at school for a couple of months. And cold germs are everywhere. My youngest started school this year, and along with artwork and seedlings, she has […]
Cyber’s Role in the Rapid Rise of Digital Authoritarianism
Dark Reading Confidential Episode 11: Enterprise cyber teams are in prime position to push back against our current “Golden Age of Surveillance,” according to our guests Ronald Deibert from Citizen Lab and David Greene from the EFF.
Current application and future pathways of smart older adult care services in China
The aging problem in China has been more and more severe so that traditional older adult care service models are difficult to meet the growing demands of the older adult population. Smart older adult care, as an emerging service model, integrates artificial intelligence (AI) technologies to provide more personalized, convenient, and safe living services for […]
Quantitative analysis of e-health’s impact on health systems
BackgroundThis study evaluates the impact of e-health solutions on healthcare systems, focusing on how the perceived usefulness of these technologies affects healthcare workers’ intentions to use them.MethodsThe study used a cross-sectional approach in the form of a close-ended questionnaire to collect quantitative data from a sample of 130 healthcare professionals randomly selected. The collected data […]
Test-Time Alignment of LLMs via Sampling-Based Optimal Control in pre-logit space
arXiv:2510.26219v1 Announce Type: cross Abstract: Test-time alignment of large language models (LLMs) attracts attention because fine-tuning LLMs requires high computational costs. In this paper, we propose a new test-time alignment method called adaptive importance sampling on pre-logits (AISP) on the basis of the sampling-based model predictive control with the stochastic control input. AISP applies the […]
Implicit Bias of Per-sample Adam on Separable Data: Departure from the Full-batch Regime
arXiv:2510.26303v1 Announce Type: cross Abstract: Adam [Kingma and Ba, 2015] is the de facto optimizer in deep learning, yet its theoretical understanding remains limited. Prior analyses show that Adam favors solutions aligned with $ell_infty$-geometry, but these results are restricted to the full-batch regime. In this work, we study the implicit bias of incremental Adam (using […]
EgoExo-Con: Exploring View-Invariant Video Temporal Understanding
arXiv:2510.26113v1 Announce Type: cross Abstract: Can Video-LLMs achieve consistent temporal understanding when videos capture the same event from different viewpoints? To study this, we introduce EgoExo-Con (Consistency), a benchmark of comprehensively synchronized egocentric and exocentric video pairs with human-refined queries in natural language. EgoExo-Con emphasizes two temporal understanding tasks: Temporal Verification and Temporal Grounding. It […]
Linking Heterogeneous Data with Coordinated Agent Flows for Social Media Analysis
arXiv:2510.26172v1 Announce Type: cross Abstract: Social media platforms generate massive volumes of heterogeneous data, capturing user behaviors, textual content, temporal dynamics, and network structures. Analyzing such data is crucial for understanding phenomena such as opinion dynamics, community formation, and information diffusion. However, discovering insights from this complex landscape is exploratory, conceptually challenging, and requires expertise […]
The Quest for Reliable Metrics of Responsible AI
arXiv:2510.26007v1 Announce Type: cross Abstract: The development of Artificial Intelligence (AI), including AI in Science (AIS), should be done following the principles of responsible AI. Progress in responsible AI is often quantified through evaluation metrics, yet there has been less work on assessing the robustness and reliability of the metrics themselves. We reflect on prior […]