Less, but more: A new evolutionary scenario marked by massive gene loss and expansion
Evolution is traditionally associated with a process of increasing complexity and gaining new genes. However, the explosion ...
Genetic insights reveal plant adaptation to climate change
As climate change accelerates, plants face mounting pressure to adapt to shifting ecosystems and environmental conditions.
Tri-State Livestock News3d
Nature’s Algorithm: Tiller Demography in Perennial Forage Grass, Explained
In the domain of biological organisms, the aging structure of grass tillers holds profound implications beyond individual ...
Quanta Magazine5d
The Poetry Fan Who Taught an LLM to Read and Write DNA
By treating DNA as a language, Brian Hie’s “ChatGPT for genomes” could pick up patterns that humans can’t see, accelerating ...
news.ucsc6d
UC Santa Cruz scientists slither into the history books with first complete genome of a banana slug
Not only is the banana slug the endearing mascot for UC Santa Cruz — making the project fitting for campus researchers — but ...
Europe's Milk Crisis7d
Genetic Engineering and Generative AI: An Explosive Mix
The field of plant biotechnology is undergoing a profound transformation. The rise of generative artificial intelligence (AI) ...
eLife7d
Single-cell sequencing provides clues about the developmental genetic basis of evolutionary adaptations in syngnathid fishes
This study provides a valuable new resource to investigate the molecular basis of the particular features characterizing the pipefish embryo. The authors found both unique and shared gene expression ...
The various challenges associated with AI-driven genetic testing
AI-driven genomics startups leverage technology to analyze genetic data, predict predispositions, and offer personalized ...
GitHub9d
heuristic-algorithm
Collection of classes and functions to allow 2D/3D path generation with heuristic algorithms such as A*, Theta* and LazyTheta* and ROS Interfaces ...
unite9d
From OpenAI’s O3 to DeepSeek’s R1: How Simulated Thinking Is Making LLMs Think Deeper
Large language models (LLMs) have evolved significantly. What started as simple text generation and translation tools are now ...
pv magazine International11d
PV energy forecasting based on genetic algorithms, dynamic neural network
Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...
eLife11d
Molecular Feature-Based Classification of Retroperitoneal Liposarcoma: A Prospective Cohort Study
Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, State Key Laboratory for Digestive Health, National Clinical Research Center for Digestive Disease, Beijing ...