The Innovator’s Post

"I strongly believe the next decade will be dominated by the deep technologies in [biology]: organoid intelligence, biocomputers, genomics, multiomics, neuromorphic computing, brain-machine interfaces and CRISPR," says Dr. Zina Jarrahi Cinker, Ph.D., an exponential technology and deep science strategist and condensed matter physicist."We are just starting to crack the code of life and blueprint of living species and addressing longevity, eradicating diseases and transforming pharmaceuticals. We are also making leaps in other areas that at first glance have nothing to do with biology like computation, data storage, or energy conservation for our power-hungry electronics." Her advice ? "You have no idea what else is coming. This is just the beginning. As our leaders, you are the ones who need to have first-hand access to the knowledge of exponential tech. So don’t just keep your eye on the horizon of your own field." https://lnkd.in/ei8cVV3x

𝐀𝐆𝐓𝐂 𝐆𝐞𝐧𝐨𝐦𝐢𝐜𝐬 𝐚𝐧𝐝 𝐌𝐨𝐥𝐃𝐞𝐬𝐢𝐠𝐧𝐗 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐞 𝐢𝐧 𝐀𝐝𝐯𝐚𝐧𝐜𝐢𝐧𝐠 𝐆𝐞𝐧𝐨𝐦𝐞 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐯𝐢𝐚 𝐀𝐈 𝐚𝐧𝐝 𝐐𝐮𝐚𝐧𝐭𝐮𝐦 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 We were delighted to welcome Prof. Vannajan Sanghiran Lee and the team from MolDesignX, a pioneering spinoff from University of Malaya, to AGTC Genomics. MolDesignX is at the forefront of leveraging Intelligent Systems for High-Performance Computing through quantum computing technology, pushing the boundaries of what's possible in computational science. MolDesignX's innovative platform is transforming the landscape of molecular design and simulations. By integrating advanced techniques such as drug design, quantum calculations, and AI, MolDesignX is empowering researchers to model and predict the behavior of molecules and materials with unprecedented precision. This platform is not just a tool—it's a driving force in various scientific fields, enabling the rapid design and discovery of novel molecules and materials. At AGTC Genomics, we are excited about the potential to collaborate with MolDesign to explore synergies in genomics and molecular innovation. We look forward to leveraging MolDesignX's capabilities to accelerate breakthroughs in precision medicine, genome research, and beyond. Together, we aim to advance our shared mission: to equip students and researchers with the cutting-edge tools and techniques they need to drive innovation and create sustainable career opportunities. 🚀 #AGTCGenomics #MolDesign #MolecularDesign #QuantumComputing #AI #Innovation #Collaboration #Genomics #MaterialScience

We have transitioned from #Cell Biology to Molecular Biology and are heading to #SiliconBiology? What will we achieve from #SiliconBiology disruptive sciences or #Artificial Sciences? Or #SiliconBiology will create Artificial disruptive sciences? Here, Silicon Biology does not refer to the study of SIlicon. Instead, It refers to the exploration of Carbon Biology (e.g., living organisms, including humans) by silicon-guided tools and technologies. The transition from Cell Biology to Molecular Biology and the potential shift to Silicon Biology represents a significant paradigm shift in the life sciences. Validity of Silicon Biology Concept: Silicon Biology, as defined, leverages silicon-guided tools and technologies to explore carbon-based biology (living organisms). This concept aligns with the growing integration of technology and biology. Potential Achievements of Silicon Biology: Enhanced understanding of complex biological systems through computational modeling and simulation. Development of personalized medicine and targeted therapies. Improved diagnostics and monitoring using AI-driven analytics. Advancements in synthetic biology and biotechnology. Potential solutions for global health challenges. Disruptive Sciences and Artificial Sciences: Artificial intelligence (AI) and machine learning (ML) applications in biology. Systems biology and network analysis. Computational biology and bioinformatics. Synthetic biology and genetic engineering. Bio-inspired robotics and materials science. Implications and Future Directions: Interdisciplinary research collaborations. Integration of silicon-guided tools in biomedical research. Ethical considerations for AI-driven biological advancements. Potential for revolutionary healthcare solutions. Challenges and Limitations: Complexity of biological systems. Data quality and standardization. AI model interpretability and transparency. Ensuring responsible innovation. Conclusion: As a concept, Silicon Biology represents a natural progression in the life sciences, leveraging technological advancements to explore and understand complex biological systems. Its potential achievements and implications are significant, but challenges and limitations must be addressed.

🌟 Nobel Prize in Chemistry 2024: AI Revolutionizing Science 🌟 The 2024 Nobel Prize in Chemistry marks a turning point in the application of Artificial Intelligence to molecular biology. David Baker, Demis Hassabis, and John M. Jumper have made groundbreaking strides in protein structure prediction and computational protein design, using AI to solve one of the most complex challenges in science—predicting the intricate 3D structure of proteins. AI is transforming how we understand and design proteins, accelerating advancements in drug discovery, biotechnology, and personalized medicine. This leap forward has the potential to reshape industries and save lives by enabling faster, more efficient research and innovation. The impact of AI in science extends far beyond chemistry: 🔹 In healthcare, AI is driving improvements in diagnostics and treatment planning. 🔹 In physics, it’s enhancing complex system simulations and advancing research. 🔹 In climate science, AI is offering new insights into global environmental trends. This achievement demonstrates the limitless potential of AI to unlock new possibilities in scientific research and development, pushing the boundaries of human knowledge. #NobelPrize2024 #AI #ScienceInnovation #ProteinStructure #ArtificialIntelligence #FutureOfScience #Biotechnology #DrugDiscovery #Chemistry

Could computationally generated molecules change size and shape on demand? Researchers reduce biological complexity using AI tools to design ‘simple’ and effective molecular switches. The ensuing lab-generated proteins could be used as molecular cages for drug delivery, among other applications. The study, led by David Baker’s lab at the University of Washington, is co-authored by ISTA Assistant Professor Florian Praetorius. “Although our proteins are ‘simplified’ designs, they exhibit many of the biophysical properties we usually find in much more complex natural systems, helping us better understand those systems.” – Florian Praetorius. _______________________________ 📓 Pillai A., Idris A., et al., 2024. De novo design of allosterically switchable protein assemblies. Nature. DOI: https://lnkd.in/dTRhskQV 📸 Example of a designed molecular cage for drug delivery. © The study authors | Nature. #ISTAresearch #ISTAustria #science #technology #research #NewPublication #publication #molecularengineering #proteindesign #denovoproteins Nature Portfolio Springer Nature Group

"Revolutionizing the Future: Breakthrough Science and Tech on the Horizon 🚀" Exciting times lie ahead as the scientific community gears up for groundbreaking advancements in the next several years. From quantum computing to gene editing, here's a glimpse into the future of technology that promises to reshape our world. 1. Quantum Supremacy Unleashed: Brace yourself for the era of quantum computing, where processing power defies conventional limits. Quantum supremacy is set to unlock unprecedented capabilities, revolutionizing fields like cryptography, optimization, and drug discovery. 2. CRISPR 2.0 - Precision Gene Editing: Building on the success of CRISPR-Cas9, the next generation of gene-editing technologies is poised to enhance precision, targeting specific genes with unparalleled accuracy. Medical breakthroughs, including personalized gene therapies, are on the horizon. 3. Neuromorphic Computing - Mimicking the Brain: As we inch closer to replicating the brain's computing power, neuromorphic computing holds the key. This technology aims to create processors that emulate the human brain's neural networks, paving the way for more efficient and intelligent machines. 4. Advancements in Space Exploration: With missions to Mars gaining momentum, new propulsion technologies and materials are being developed. From ion drives to advanced robotics, the future of space exploration is teeming with innovation. 5. Energy Revolution - Beyond Lithium-ion Batteries: The quest for sustainable energy solutions is relentless. Expect breakthroughs in energy storage technologies, including next-gen batteries and novel approaches like hydrogen fuel cells, ushering in a new era of clean and efficient power. Stay tuned as the frontier of #science and #technology continues to expand, bringing forth a wave of #innovations that will shape the way we live, work, and #explore the #universe. 🌌🔬 #FutureTech #InnovationUnleashed

In a world increasingly shaped by the convergence of biology and technology, Biocomputer.ai stands as a beacon of innovation. As demonstrated by the recent Nobel Prize in Chemistry awarded for groundbreaking work in computational protein design and protein structure prediction, the future of scientific exploration lies in harnessing nature’s efficiencies. Biocomputer.ai is an alluring blend of cutting-edge technology and organic innovation. This captivating domain encapsulates the intersection of biology and artificial intelligence, conjuring visions of a symbiotic relationship between humanity and machines. With the launch of a Swiss startup connecting 16 human mini-brains to create a low-energy biocomputer, the potential of integrating biological systems with intelligent algorithms has never been more tangible. Why Choose Biocomputer.ai? Evoke Curiosity and Wonder: The name itself evokes a sense of wonder, embodying the limitless potential of harnessing biological systems to power intelligent solutions. It invites pioneering minds to explore uncharted territories in technology and science. Memorable and Impactful: With its concise and catchy structure, Biocomputer.ai is easy to remember, making it an ideal choice for startups eager to make their mark in biotechnology, bioinformatics, and AI research. It positions your brand at the forefront of a rapidly evolving field. Timely Relevance: As evidenced by the recent scientific achievements in protein design and the innovative biocomputer launch, the demand for advanced bio-computational technologies is growing. By claiming Biocomputer.ai, you align your venture with the forefront of scientific advancement, tapping into an expanding market filled with opportunities. Broad Application: Whether you’re exploring bioinformatics, developing sustainable computing solutions, or innovating in AI-driven biology, Biocomputer.ai serves as a versatile platform for a variety of applications. It invites collaboration and fosters a sense of community among innovators. Embrace the Future of Intelligence With Biocomputer.ai, you’re not just acquiring a domain; you’re embracing a vision of the future where biology and technology harmoniously coalesce. Make your mark in this transformative field and stake your claim on a name that signifies advancement, exploration, and the dawn of a new era in computing. Don’t miss this opportunity to be part of a revolutionary shift—secure Biocomputer.ai today. #Biotech #Biocomputer #Neural #neuralink #neuralnetwork #biology #computing #tech #AI #ArtificialIntelligence #GPT

🚨 Breaking News in Science and AI! 🚨 Incredible strides in the intersection of Artificial Intelligence and Chemistry as the Nobel Prize in Chemistry has been awarded to David Baker from the University of Washington, Demis Hassabis, and John M. Jumper (from Google DeepMind)! 🎉🥇 Their groundbreaking work on AlphaFold, revolutionizing how we understand protein folding, has unlocked new possibilities in drug discovery, biotechnology, and countless other fields. 🌍🔬 This recognition is not only a win for science but a celebration of how AI can accelerate progress and solve some of humanity’s most complex challenges. 🚀💡 From Geoffrey Hinton’s Nobel Prize in Physics to now, it’s clear that the AI revolution is shaping the future of science and technology at an unprecedented pace. These moments remind us how powerful collaboration between AI and traditional scientific research can be. What a thrilling time to be in the field of technology and science! Kudos to the entire DeepMind team and everyone who believes in the potential of AI to make the world a better place. 🌟💥 #AI #NobelPrize #DeepMind #AlphaFold #Innovation #Science #Chemistry #FutureOfAI #ProteinFolding

𝐁𝐫𝐢𝐝𝐠𝐢𝐧𝐠 𝐁𝐢𝐨𝐥𝐨𝐠𝐲 𝐚𝐧𝐝 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲: 𝐀 𝐋𝐞𝐚𝐩 𝐓𝐨𝐰𝐚𝐫𝐝𝐬 𝐅𝐮𝐭𝐮𝐫𝐞 𝐁𝐢𝐨-𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 Scientists have achieved a remarkable milestone by 𝘮𝘦𝘳𝘨𝘪𝘯𝘨 𝘩𝘶𝘮𝘢𝘯 𝘣𝘳𝘢𝘪𝘯 𝘤𝘦𝘭𝘭𝘴 𝘸𝘪𝘵𝘩 𝘢 𝘤𝘩𝘪𝘱, creating a 𝘩𝘺𝘣𝘳𝘪𝘥 𝘣𝘪𝘰-𝘤𝘰𝘮𝘱𝘶𝘵𝘦𝘳 capable of speech recognition. This innovation, #Brainoware , opens new horizons for computing, offering a glimpse into a future where biological and electronic components merge for enhanced processing capabilities with lower energy requirements. The potential implications for technology and neuroscience are vast, yet the journey ahead poses significant challenges in refining this symbiosis. #BioComputing #Innovation #TechnologyTrends #FutureOfComputing #AI For more insights check the link in the comments.

News 10002: Global Scientific Guild, Where Science Meets Wisdom Neurohacking is a term coined to describe the use of analog or digital spectrum interaction, through EM or biological, chemical or synthetic biology mass based vectors, with an organic, synthetic or hybrid organic and synthetic brain and central nervous system in a person or animal. The enhancement or degradation of a biological, synthetic biology and hybrid bio/synbio life, is called neurohacking, and can involve use of Artificial Intelligence (AI) through Bio Cyber Physical System BCPS to effectuate unattributed modification of a person, on-average unknown to the person being enhanced or degraded by a given AI BCPS or AI CPS platform. This presentation summarizes "Neurohacking" reverse engineered. https://lnkd.in/gzxjSP8k