Open Life Science AI’s Post

Another great international collaborative publication on IEEE Access (IF 3.9, acceptance rate 29%). In this paper, we show how #Artificial #Intelligence can be effectively used also in the #NextGeneration #QuantumCommunication scenario . R. Vijay Anand, G. Magesh, I. Alagiri, M. G. Brahmam, B. Balusamy and F. Benedetto, "Quantum Channel Optimization: Integrating Quantum-Inspired Machine Learning with Genetic Adaptive Strategies," in IEEE Access, doi: 10.1109/ACCESS.2024.3410147. #GeneticAlgorithms #Optimization #QuantumCommunication #QuantumComputing #Convergence #Reliability #HeuristicAlgorithms #EnergyEfficiency

This paper proposes a #convolutional #neural #network (#CNN)-based propagation model that provides predictions of radio wave propagation at high frequencies by leveraging data obtained by the #PE #method at a lower frequency. The proposed model significantly enhances the efficiency of wave propagation modeling in #tunnels. Meanwhile, by explicitly incorporating #prior #knowledge from PE simulations and carefully designing the input, output, and structures of the CNN, the proposed model is more generalizable and robust compared to existing data-oriented machine learning models. ---- Siyi Huang, Hao Qin, Xingqi Zhang More details can be found at this link: https://lnkd.in/ebhPrj27

Excited to embark on a journey with Quick IsCool as I dive into the realm of advanced quantum, artificial, and biological intelligence R&D! Ready to innovate and learn. #quantumintelligence #quantumai #artificialintelligence #biologicalintelligence #researchanddevelopment

📃Scientific paper: Correction to: Predicting global numbers of teleomorphic ascomycetes Continued on ES/IODE ➡️ https://etcse.fr/FAyf ------- If you find this interesting, feel free to follow, comment and share. We need your help to enhance our visibility, so that our platform continues to serve you.

Neo-infrastructural matrix of epigenerating physical, biological evolution… or neo-mathematical accelerator/creator of further (and deeper – literally) foundations of matter and life. 12.c.1.

Cicadas and BCIs: A Reflective Parallel Imagine billions of cicadas surfacing every 13 or 17 years and seem to follow a mysterious internal clock. Scientists believe this regularity helps them escape predators. But what triggers this cycle? Why these prime numbers in particular? Let's take a look at brain-computer interfaces (BCIs) that synchronize with the signals of the human brain. Could BCIs one day influence our biological rhythms in the same way that cicadas respond to seasonal changes? Both cicadas and BCIs are an example of how nature and technology adapt using complicated cycles. By studying cicadas, we could unlock new possibilities for BCIs that lead to innovative ways to synchronize technology with human biology and improve our interaction with machines.

We continue our research. Definition of the concept of information for living and artificial information systems Annotation. The article, based on a combination of knowledge in the field of information technology and widely known results of biological research, shows that the process of reproduction of living cells cannot occur without the use of information stored in DNA. The opinion about the possibility of the emergence of life as a random chemical compound has been refuted. The concept of information for living and artificial information systems is defined as the essence of the message (the gist of the message), which causes the corresponding action of the system without intelligence and influences the choice of decision by the intelligent system. An important feature of information is the ability to transfer it to various physical media for the purpose of storage or transmission. It has been proven that living cells reproduce only due to vital information, without which life is doomed, and this information, in turn, is preserved from destruction indefinitely due to copying during cell reproduction. Keywords: concept of information. origin of life, information system, properties of information, formation of information.

🌟 Exciting Breakthrough in Bio-Computing: The World’s First Living Processor! 🌟 I’m thrilled to share some ground-breaking news in the world of technology and neuroscience. Scientists from Sweden and Switzerland have successfully developed the world’s first living processor by integrating human brain tissue into a functional computing system. This remarkable achievement could revolutionize artificial intelligence, medicine, and the way we approach computing in general. While the potential of this technology is immense—ranging from ultra-efficient AI to new models for studying neurological diseases—it also brings up important ethical considerations. As we push the boundaries of what’s possible, it’s crucial that we balance innovation with responsibility, ensuring these advancements benefit society as a whole. I’d love to hear your thoughts on the ethical implications of such technologies. How do we navigate the fine line between ground-breaking progress and ethical responsibility? 👉 Read more about it here: https://lnkd.in/eDan495d #BioComputing #ArtificialIntelligence #EthicsInTech #Neuroscience #Innovation #FutureOfTech

The Terminators are coming for everything; including #water #treatment. New research published by Elsevier demonstrates the value of machine learning models for predicting the rejection of organic constituents with two different membrane technologies. The key findings are: •The established models accurately predict the solute rejection by FO and RO. •Top variables for FO include the molecular length, water flux, and hydrophobicity. •Molecular descriptors and fingerprints are among the key variables for RO. •The models and SHAP analysis advance the understanding of rejection mechanisms. https://lnkd.in/eYTUENhc #energy #science #ML #AI Jerri Pohl Kevin Schug Steve Coffee Produced Water Society Michael Dyson Infinity Water Solutions New Mexico Produced Water Research Consortium QRI Texas Produced Water Consortium

Artificial intelligence and biology converge to revolutionize protein design. EvolutionaryScale, led by ex-Meta engineers, has launched ESM3—a groundbreaking multimodal and generative language model tailored for designing novel proteins. Trained on a staggering 2.78 billion natural proteins, ESM3 pioneers a new era by jointly reasoning across sequence, structure, and function. Among its remarkable feats, it has synthesized a green fluorescent protein, essentially condensing 500 million years of evolution into mere calculations. Available in three sizes, the smallest version is open-sourced, opening doors for widespread innovation. #ProteinDesign #AIResearch #SyntheticBiology #GenerativeModels #BiotechRevolution Curious how automation can drive breakthrough efficiencies in your business? Discover more at [https://workflo.agency](https://workflo.agency) and book a complimentary consultation to ensure you're not missing out on transformative advantages.