Ward: Education

423

Ancient sea anemone sheds light on animal cell type evolution

One of the biggest quests in biology is understanding how every cell in an animal's body carries an identical genome yet still gives rise to a kaleidoscope of different cell types and tissues. A neuron doesn't look nor behave like a muscle cell but has the same DNA.

332

Derivates for Containers in Univalent Foundations

arXiv:2512.17484v1 Announce Type: new
Abstract: Containers conveniently represent a wide class of inductive data types. Their derivatives compute representations of types of one-hole contexts, useful for implementing tree-traversal algorithms. In the category of containers and cartesian morphisms, …

318

Software Sheds Light on Cancer's Hidden Networks

Universidad de Navarra Researchers at the University of Navarra have developed RNACOREX, open-source software capable of identifying Genetics regulatory networks Genetics applications in...

321

Computing measures of weak-MSO definable sets of trees

arXiv:2410.13479v2 Announce Type: replace
Abstract: This work addresses the problem of computing measures of recognisable sets of infinite trees. An algorithm is provided to compute the probability measure of a tree language recognisable by a weak alternating automaton, or equivalently definable in…

323

One Protein Is a Better Predictor of Heart Disease Than Cholesterol

It's always more complicated.

234

Strategic Planning and Rationalizing on Trees Make LLMs Better Debaters

arXiv:2505.14886v2 Announce Type: replace
Abstract: Winning competitive debates requires sophisticated reasoning and argument skills. There are unique challenges in the competitive debate: (1) The time constraints force debaters to make strategic choices about which points to pursue rather than cov…

221

The Ten Most Significant Science Stories of 2025

Kranking, Prillaman, & Hill, Sonian Every December, Smithsonian magazine's science team picks which stories were the year's most significant. We look for a broad set of topics that...

220

Refinement-based Christoffel sampling for least squares approximation in non-orthogonal bases

arXiv:2510.08461v2 Announce Type: replace
Abstract: We introduce a refinement-based Christoffel sampling (RCS) algorithm for least squares approximation in the span of a given, generally non-orthogonal set of functions $\Phi_n = \{\phi_1, \dots, \phi_n\}$. A standard sampling strategy for this prob…

222

A top global design alliance is embracing AI to ‘let designers focus more on empathy and creativity’

Many designers are increasingly warming to the idea of incorporating AI in design, says Cecilia Brenner, the managing director of Design for Good, a global design charity.

210

Deterministic implementation in single-item auctions

arXiv:2512.17386v1 Announce Type: new
Abstract: Deterministic auctions are attractive in practice due to their transparency, simplicity, and ease of implementation, motivating a sharp understanding of when they match randomized designs. We study deterministic implementation in single-item auctions …

219

Taming the Memory Footprint Crisis: System Design for Production Diffusion LLM Serving

arXiv:2512.17077v1 Announce Type: new
Abstract: Diffusion Large Language Models (dLLMs) have emerged as a promising alternative to Autoregressive Models (ARMs), utilizing parallel decoding to overcome sequential bottlenecks. However, existing research focuses primarily on kernel-level optimizations…

212

Hubble Captures the Dramatic Aftermath of Colliding Space Rocks

Northwestern In an unprecedented celestial event, NASA's Hubble Space Telescope (HST) captured the dramatic aftermath of colliding space rocks within a nearby planetary system.
When...

212

Optimal Error Analysis of Channel Estimation for IRS-assisted MIMO Systems

arXiv:2412.16827v2 Announce Type: replace
Abstract: As intelligent reflecting surface (IRS) has emerged as a new and promising technology capable of configuring the wireless environment favorably, channel estimation for IRS-assisted multiple-input multiple-output (MIMO) systems has garnered extensi…

221

PhysGM: Large Physical Gaussian Model for Feed-Forward 4D Synthesis

arXiv:2508.13911v2 Announce Type: replace
Abstract: Despite advances in physics-based 3D motion synthesis, current methods face key limitations: reliance on pre-reconstructed 3D Gaussian Splatting (3DGS) built from dense multi-view images with time-consuming per-scene optimization; physics integrat…

212

New Hybrid Heuristics for Pseudo-Boolean Propagation

arXiv:2511.21417v2 Announce Type: replace
Abstract: In pseudo-boolean solving the currently most successful unit propagation strategy is a hybrid mode combining the watched literal scheme with the counting method. This short paper introduces new heuristics for this hybrid decision, which are able t…

211

Bridging Training and Merging Through Momentum-Aware Optimization

arXiv:2512.17109v1 Announce Type: new
Abstract: Training large neural networks and merging task-specific models both exploit low-rank structure and require parameter importance estimation, yet these challenges have been pursued in isolation. Current workflows compute curvature information during tr…

122

STAT+: A seasoned biotech VC looks to 2026 and sees a wave of IPOs coming

One of the biotech industry’s most esteemed venture capitalists anticipates that, after two years of drought, a wave of drug companies are set to go public.

120

More Consistent Accuracy PINN via Alternating Easy-Hard Training

arXiv:2512.17607v1 Announce Type: new
Abstract: Physics-informed neural networks (PINNs) have recently emerged as a prominent paradigm for solving partial differential equations (PDEs), yet their training strategies remain underexplored. While hard prioritization methods inspired by finite element …

122

Linear Attention for Joint Power Optimization and User-Centric Clustering in Cell-Free Networks

arXiv:2512.17466v1 Announce Type: new
Abstract: Optimal AP clustering and power allocation are critical in user-centric cell-free massive MIMO systems. Existing deep learning models lack flexibility to handle dynamic network configurations. Furthermore, many approaches overlook pilot contamination …

111

Explorable Ideas: Externalizing Ideas as Explorable Environments

arXiv:2512.17017v1 Announce Type: new
Abstract: Working with abstract information often relies on static, symbolic representations that constrain exploration. We introduce Explorable Ideas, a framework that externalizes abstract concepts into explorable environments where physical navigation coordi…