Ciencias de la vida

Carbon-Taxed Transformers: A Green Compression Pipeline for Overgrown Language Models

- The accelerating adoption of Large Language Models (LLMs) in software engineering (SE) has brought with it a silent crisis: unsustainable computational cost. While these models demonstrate remarkable...

Economical and ecological impact of sector coupling applied to computing clusters

- The rising share of abundant renewable energy inevitably increases volatility in the electricity production. The concept of sector coupling means that the volatility of electricity production to a...

AHASD: Asynchronous Heterogeneous Architecture for LLM Adaptive Drafting Speculative Decoding on Mobile Devices

- Speculative decoding enhances the inference efficiency of large language models (LLMs) by generating drafts using a small draft language model (DLM) and verifying them in batches with a large target...

FusionCIM: Accelerating LLM Inference with Fusion-Driven Computing-in-Memory Architecture

- In this paper, we propose FusionCIM, an operator-fusion-driven compute-in-memory (CIM) accelerator architecture for efficient and scalable LLM inference, with three key innovations: (1) a hybrid CIM...

Shearlet Neural Operators for Anisotropic-Shock-Dominated and Multi-scale parametric partial differential equations

- Neural operators have emerged as powerful data-driven surrogates for learning solution operators of parametric partial differential equations (PDEs). However, widely used Fourier Neural Operators...

A Posteriori Error Estimation for Parabolic Equations with Enriched Galerkin Finite Element Methods

- This paper introduces a novel a posteriori error estimation framework for the enriched Galerkin (EG) finite element method applied to linear parabolic equations. While the EG method has been...

Internet of Everything in the 6G Era: Paradigms, Enablers, Potentials and Future Directions

- The Internet of Everything (IoE) represents an evolution of the Internet of Things (IoT) by integrating people, data, processes, and things into a unified intelligent ecosystem. IoE aims to enhance...

Salca: A Sparsity-Aware Hardware Accelerator for Efficient Long-Context Attention Decoding

- Long contexts improve capabilities of large language models but pose serious hardware challenges: compute and memory footprints grow linearly with sequence length. Particularly, the decoding phase...

Opto-Atomic Spatio-Temporal Holographic Correlators for High-Speed 3D CNNs

- Three-dimensional convolutional neural networks (3D CNNs) have demonstrated remarkable performance in video recognition tasks by processing both spatial and temporal features. However, the cubic...

Sainfoin stand termination: Variable herbicide efficacy in field conditions

28/04/2026 - Effective termination of perennial forage legumes is a critical step in a crop rotation system, particularly in arid and semi‐arid regions where soil moisture conservation and timely establishment...

Bayesian discovery of species in multiple areas

- In ecology, the description of species composition and biodiversity calls for statistical methods that involve estimating features of interest in unobserved samples based on an observed one. In the...

The equity paradox of environmental DNA for biodiversity monitoring

28/04/2026

The No Barber Principle: Towards Formalised Selection in the Inaccessible Game

- The inaccessible game (Lawrence, 2025, 2026) is an information-theoretic dynamical system governed by three information loss axioms, a marginal entropy conservation constraint and maximum entropy...

Inclusive Learning Analytics with Embedded Data Comics: A Conceptual Framework for Public Understanding of AI Ethics

- Public awareness of AI ethics plays a crucial role in fostering the responsible and sustainable development of AI technology. However, finding effective ways to promote public understanding of the...

A Brain-Inspired Deep Separation Network for Single Channel Raman Spectra Unmixing

- Raman spectra obtained in real world applications are often a noisy combination of several spectra of various substances in a tested sample. Unmixing such spectra into individual components...

Exploiting pre-optimized kernels with polyhedral transformations for CGRA compilation

- Modern computing workloads commonly involve matrix-matrix multiplication (mmul) as a core computing pattern. Coarse-Grained Reconfigurable Arrays (CGRAs) can flexibly and efficiently support it,...

Energy-Efficient Multi-Robot Coverage Path Planning of Non-Convex Regions of Interests

- This letter presents an energy-efficient multi-robot coverage path planning (MRCPP) framework for large, nonconvex Regions of Interest (ROI) containing obstacles and no-fly zones (NFZ). Existing...

$O(K)$-Approximation Coflow Scheduling in $K$-Core Optical Circuit Switching Networks

- Coflow has emerged as a fundamental application-layer abstraction in distributed systems, representing communication dependencies and enabling collaborative management of related flows to enhance job...

Harvard scientists link gut bacteria to depression through hidden inflammation trigger

25/04/2026 - A gut bacterium may be quietly fueling depression through an unexpected chemical twist. Researchers found that when Morganella morganii interacts with a common pollutant, it produces a molecule that...

Graphene kills harmful bacteria “superbugs” but spares human cells

26/04/2026 - Scientists have uncovered how graphene oxide pulls off a remarkable trick: it hunts down and destroys harmful bacteria while leaving human cells completely unharmed. By targeting a molecule found...

Unconditional energy stable hybrid IEQ-FEMs for the Cahn-Hilliard-Navier-Stokes equations

- We investigate two unconditionally energy stable invariant energy quadratization (IEQ) finite element methods (FEMs) [Chen et al. Numerical Algorithms, DOI: