How CVS Health continues to shape innovation in Boston
When people think about healthcare innovation in the US, Silicon Valley often gets the spotlight. But for decades, another ecosystem has been quietly getting on with the job of shaping the future of medicine and technology: Boston.
And right at the heart of that ecosystem sits CVS Health.
Wireless TokenCom: RL-Based Tokenizer Agreement for Multi-User Wireless Token Communications
arXiv:2602.12338v1 Announce Type: new
Abstract: Token Communications (TokenCom) has recently emerged as an effective new paradigm, where tokens are the unified units of multimodal communications and computations, enabling efficient digital semantic- and goal-oriented communications in future wirele...
KBVQ-MoE: KLT-guided SVD with Bias-Corrected Vector Quantization for MoE Large Language Models
arXiv:2602.11184v1 Announce Type: new
Abstract: Mixture of Experts (MoE) models have achieved great success by significantly improving performance while maintaining computational efficiency through sparse expert activation. However, their enormous parameter sizes and memory demands pose major chall...
Explaining AI Without Code: A User Study on Explainable AI
arXiv:2602.11159v1 Announce Type: new
Abstract: The increasing use of Machine Learning (ML) in sensitive domains such as healthcare, finance, and public policy has raised concerns about the transparency of automated decisions. Explainable AI (XAI) addresses this by clarifying how models generate pr...
On Decision-Valued Maps and Representational Dependence
arXiv:2602.11295v1 Announce Type: new
Abstract: A computational engine applied to different representations of the same data can produce different discrete outcomes, with some representations preserving the result and others changing it entirely. A decision-valued map records which representations ...
Faster Rates For Federated Variational Inequalities
In this paper, we study federated optimization for solving stochastic variational inequalities (VIs), a problem that has attracted growing attention in recent years. Despite substantial progress, a significant gap remains between existing convergence rates and the state-of-the-art bounds known for f...
arXiv:2602.10195v1 Announce Type: new
Abstract: A novel sequence architecture design is introduced, Versor, which uses Conformal Geometric Algebra (CGA) in place of the traditional fundamental non-linear operations to achieve structural generalization and significant performance improvements on a v...
Adaptive Optimization via Momentum on Variance-Normalized Gradients
arXiv:2602.10204v1 Announce Type: new
Abstract: We introduce MVN-Grad (Momentum on Variance-Normalized Gradients), an Adam-style optimizer that improves stability and performance by combining two complementary ideas: variance-based normalization and momentum applied after normalization. MVN-Grad sc...
AI reads brain MRIs in seconds and flags emergencies
Researchers at the University of Michigan have created an AI system that can interpret brain MRI scans in just seconds, accurately identifying a wide range of neurological conditions and determining which cases need urgent care. Trained on hundreds of thousands of real-world scans along with patient...
Lagged backward-compatible physics-informed neural networks for unsaturated soil consolidation analysis
arXiv:2602.07031v1 Announce Type: new
Abstract: This study develops a Lagged Backward-Compatible Physics-Informed Neural Network (LBC-PINN) for simulating and inverting one-dimensional unsaturated soil consolidation under long-term loading. To address the challenges of coupled air and water pressur...
Somewhere between “this model will replace your entire workflow” and “this chatbot will become your best friend,” many teams are left wondering what’s real, what’s useful, and what’s just… very confident marketing.
That’s where Stability AI stands out.
In Silicon Valley, OpenAI has built systems and infrastructure that allow experimentation to turn into durable engineering outcomes (not fragile prototypes held together by hope and a README), and the world can’t get enough…
Scientists create smart synthetic skin that can hide images and change shape
Inspired by the shape-shifting skin of octopuses, Penn State researchers developed a smart hydrogel that can change appearance, texture, and shape on command. The material is programmed using a special printing technique that embeds digital instructions directly into the skin. Images and information...
MINT: Minimal Information Neuro-Symbolic Tree for Objective-Driven Knowledge-Gap Reasoning and Active Elicitation
arXiv:2602.05048v1 Announce Type: new
Abstract: Joint planning through language-based interactions is a key area of human-AI teaming. Planning problems in the open world often involve various aspects of incomplete information and unknowns, e.g., objects involved, human goals/intents -- thus leading...
VSSFlow: Unifying Video-conditioned Sound and Speech Generation via Joint Learning
Video-conditioned sound and speech generation, encompassing video-to-sound (V2S) and visual text-to-speech (VisualTTS) tasks, are conventionally addressed as separate tasks, with limited exploration to unify them within a signle framework. Recent attempts to unify V2S and VisualTTS face challenges i...
How PARTs Assemble into Wholes: Learning the Relative Composition of Images
The composition of objects and their parts, along with object-object positional relationships, provides a rich source of information for representation learning. Hence, spatial-aware pretext tasks have been actively explored in self-supervised learning. Existing works commonly start from a grid stru...
Building AI in healthcare is hard enough without fighting your own data systems. In Austin, Takeda is tackling that problem head-on, creating a platform designed for scale, compliance, and real-world impact.
Active Epistemic Control for Query-Efficient Verified Planning
arXiv:2602.03974v1 Announce Type: new
Abstract: Planning in interactive environments is challenging under partial observability: task-critical preconditions (e.g., object locations or container states) may be unknown at decision time, yet grounding them through interaction is costly. Learned world ...