Research Radar

Academic Publication • Published Apr 1, 2024

Active-Passive IRS Aided Wireless Communication: New Hybrid Architecture and Elements Allocation Optimization

Academic Publication • Published Mar 28, 2024

THE ROLE OF AI IN MARKETING PERSONALIZATION: A THEORETICAL EXPLORATION OF CONSUMER ENGAGEMENT STRATEGIES

This paper explores the transformative potential of Artificial Intelligence (AI) in personalizing marketing strategies. It delves into the theoretical underpinnings of consumer engagement sand investigates how AI can be leveraged to develop target...

151

Academic Publication • Published Mar 24, 2024

Graph of Thoughts: Solving Elaborate Problems with Large Language Models

We introduce Graph of Thoughts (GoT): a framework that advances prompting capabilities in large language models (LLMs) beyond those offered by paradigms such as Chain-of-Thought or Tree of Thoughts (ToT). The key idea and primary advantage of Go...

417

Academic Publication • Published Mar 24, 2024

Benchmarking Large Language Models in Retrieval-Augmented Generation

Retrieval-Augmented Generation (RAG) is a promising approach for mitigating the hallucination of large language models (LLMs). However, existing research lacks rigorous evaluation of the impact of retrieval-augmented generation on different large ...

315

Academic Publication • Published Mar 24, 2024

T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models

The incredible generative ability of large-scale text-to-image (T2I) models has demonstrated strong power of learning complex structures and meaningful semantics. However, relying solely on text prompts cannot fully take advantage of the knowledge...

783

Academic Publication • Published Mar 23, 2024

A review of convolutional neural networks in computer vision

AbstractIn computer vision, a series of exemplary advances have been made in several areas involving image classification, semantic segmentation, object detection, and image super-resolution reconstruction with the rapid development of deep convol...

937

Academic Publication • Published Mar 23, 2024

Black-winged kite algorithm: a nature-inspired meta-heuristic for solving benchmark functions and engineering problems

AbstractThis paper innovatively proposes the Black Kite Algorithm (BKA), a meta-heuristic optimization algorithm inspired by the migratory and predatory behavior of the black kite. The BKA integrates the Cauchy mutation strategy and the Leader str...

513

Academic Publication • Published Mar 18, 2024

Predicting the Performance and Adaptation of Artificial Elbow Due to Effective Forces using Deep Learning

Measuring power transmission in organs poses a significant challenge for researchers in the field, with various methods being explored, including the use of artificial intelligence algorithms. This study focused on developing a new neural network ...

Academic Publication • Published Mar 15, 2024

MADDPG-Based Joint Service Placement and Task Offloading in MEC Empowered Air–Ground Integrated Networks

158

Academic Publication • Published Mar 13, 2024

Evaluation metrics and statistical tests for machine learning

AbstractResearch on different machine learning (ML) has become incredibly popular during the past few decades. However, for some researchers not familiar with statistics, it might be difficult to understand how to evaluate the performance of ML mo...

1,043

Telomere-to-Telomere Phased Genome Assembly Using HERRO-Corrected Simplex Nanopore Reads

Telomere-to-telomere phased assemblies have become the norm in genomics. To achieve these for diploid and even polyploid genomes, the contemporary approach involves a combination of two long-read sequencing technologies: high-accuracy long reads, ...

Logan: Planetary-Scale Genome Assembly Surveys Life’s Diversity

Abstract The breadth of life’s diversity is unfathomable, but public nucleic acid sequencing data offers a window into the dispersion and evolution of genetic diversity across Earth. However the rapid growth and ...

Multiple Protein Structure Alignment at Scale with FoldMason

Abstract Protein structure is conserved beyond sequence, making multiple structural alignment (MSTA) essential for analyzing distantly related proteins. Computational prediction methods have vastly extended our r...

Deep learning-based predictions of gene perturbation effects do not yet outperform simple linear baselines

Abstract Advanced deep-learning methods, such as foundation models, promise to learn representations of biology that can be employed to predict in silico the outcome of unseen ...

BindCraft: one-shot design of functional protein binders

Abstract Protein–protein interactions (PPIs) are at the core of all key biological processes. However, the complexity of the structural features that determine PPIs makes their design challenging. We present Bind...

101

Boltz-1 Democratizing Biomolecular Interaction Modeling

Abstract Understanding biomolecular interactions is fundamental to advancing fields like drug discovery and protein design. In this paper, we introduce B oltz -1, an open-sourc...

418

Protenix - Advancing Structure Prediction Through a Comprehensive AlphaFold3 Reproduction

In this technical report, we present Protenix, a comprehensive reproduction of AlphaFold3 (AF3), aimed at advancing the field of biomolecular structure prediction. Protenix tackles the challenges of predicting complex interactions involving protei...

Have protein-ligand cofolding methods moved beyond memorisation?

Abstract Deep learning has driven major breakthroughs in protein structure prediction, however the next critical advance is accurately predicting how proteins interact with small molecule ligands, to enable real-...

Rēs ipSAE loquuntur : What’s wrong with AlphaFold’s ipTM score and how to fix it

Abstract AlphaFold’s ipTM metric is used to predict the accuracy of structural predictions of protein-protein interactions (PPIs) and the probability that two proteins interact...