Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
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...
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 ...
MADDPG-Based Joint Service Placement and Task Offloading in MEC Empowered Air–Ground Integrated Networks
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...
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...
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...
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...
Cellpose-SAM: superhuman generalization for cellular segmentation
Modern algorithms for biological segmentation can match inter-human agreement in annotation quality. This however is not a performance bound: a hypothetical human-consensus segmentation could reduce error rates in half. To obtain a model that gene...
Biomni: A General-Purpose Biomedical AI Agent
Abstract Biomedical research underpins progress in our understanding of human health and disease, drug discovery, and clinical care. However, with the growth of complex lab experiments, large datasets, many analy...
Boltz-2: Towards Accurate and Efficient Binding Affinity Prediction
Abstract Accurately modeling biomolecular interactions is a central challenge in modern biology. While recent advances, such as AlphaFold3 and Boltz-1, have substantially improved our ability to predict biomolecu...
AlphaGenome: advancing regulatory variant effect prediction with a unified DNA sequence model
Deep learning models that predict functional genomic measurements from DNA sequence are powerful tools for deciphering the genetic regulatory code. Existing methods trade off between input sequence length and prediction resolution, thereby limitin...
Corrective Retrieval Augmented Generation
Self-organized Electrical Nanostructure of DND in Multi -Layered Nanostructures Espatterning
Nano-optical wafers are produced using the nano-lithography process on wafers with a diameter of 100 or 150 mm. Nano-optical chips are created from small wafers
SaaS Metrics
Academic Publication