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Due to popular successes (e.g., ChatGPT) Artificial Intelligence (AI) is on everyone's lips today. Advances in biotechnology are combined with advances in AI unprecedented new potential solutions become available. This can help with many global problems and contribute to important Sustainability Development Goals. https://lnkd.in/d8pp3wt9

𝐅𝐫𝐨𝐦 🧠 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 𝐭𝐨  🤖 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬: 𝐀 𝐏𝐡𝐚𝐫𝐦𝐚𝐜𝐞𝐮𝐭𝐢𝐜𝐚𝐥 💊𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥'𝐬 "𝐀𝐡𝐚!💡" 𝐌𝐨𝐦𝐞𝐧𝐭 "The agents are coming!" 🕴️ No, not the ones in black suits and sunglasses - I'm talking about something far more exciting: AI Agents 🤖 that are about to transform how we work in pharma and beyond. My AI Evolution: From Bits to Biology 🧬 Picture this: Twenty years ago, I was that eager MS student in Bioinformatics, geeking out over Artificial Neural Networks 🧠 while dreaming of becoming a "Silicon Biologist" (fancy speak for Bioinformatician). Plot Twist - I chose the lab coat and microscope 🔬 instead of computers 🖥️ and algorithms ⚙️, joining AstraZeneca 💊 to decode biological mysteries 🔍the old-fashioned way. Two decades in the lab and countless data analyses later, here's where it gets interesting... The "Morning Scroll" That Changed Everything ☕ During a recent Diwali celebration (between samosas and sweets), a conversation about AI's evolution left me intrigued. This led to my new guilty pleasure: binge-watching AI content before even leaving bed (sorry, morning meditation! 🧘♂️). And then it hit me 💡 - Agentic AI isn't just another buzzword floating in our tech soup. Why Should You Care? (Spoiler: It's Bigger Than ChatGPT) 🚀 Imagine having a brilliant digital colleague who: ★ Never needs coffee breaks ☕ ★ Learns from every interaction 📚 ★ Makes decisions faster than you can say "quarterly report" ⚡ ★ Actually enjoys processing massive datasets 📊 (weird, right?) That's Agentic AI - not your replacement, but your digital alter ego. The Plot Thickens: From Sci-Fi to Reality 🎬 As I prep for my upcoming advance learning about AI Agents, I'm seeing how these AI agents can: ✅ Transforming data analysis 📈 ✅ Reshaping decision-making processes 🎯 ✅ Revolutionize drug discovery assisting research💊 The Million-Dollar Questions 💭 To my fellow innovators, AI enthusiasts, and VC friends 💰: 🎤 What keeps you up at night about Agentic AI? (Besides the fear of it becoming better at PowerPoint than you) 🎤 How do you see it disrupting your industry? 🎤 What's your "Aha!" 💡 moment with AI been? What's Next? 🎯 I'm diving deeper into this rabbit hole and will be sharing more insights. But first, let's hear your thoughts - especially if you've had your own AI epiphany while scrolling in bed (we've all been there!) ✨ 𝐒𝐡𝐚𝐫𝐞 𝐲𝐨𝐮𝐫 𝐭𝐡𝐨𝐮𝐠𝐡𝐭𝐬 👉💬 𝐚𝐧𝐝 𝐥𝐞𝐚𝐯𝐞 𝐚𝐬 𝐜𝐨𝐦𝐦𝐞𝐧𝐭𝐬 👇✍️ P.S. For my #VC friends 💰  - yes, this is probably the next big thing you're looking for. No pressure! 😉 #AgenticAI #Innovation #FutureOfWork #AIAgents #VentureCapital #DigitalTransformation #AIInnovation #TechTrends #Pharma #DrugDiscovery

𝗗𝗼𝗱𝗴𝗶𝗻𝗴 𝗔𝗜 𝗮𝗻𝗱 𝗼𝘁𝗵𝗲𝗿 𝗰𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗯𝗶𝗼𝗹𝗼𝗴𝘆 𝗱𝗮𝗻𝗴𝗲𝗿𝘀 ChatGPT, an artificial intelligence (AI) “chatbot” that can understand and generate human language, steals most headlines related to AI along with the rising concerns about using AI tools to create false “deepfake” images, audio and video that appear convincingly real.  But scientific applications of AI and other computational biology methods are gaining a greater share of the spotlight as research teams successfully employ these techniques to make new discoveries such as predicting how patients will respond to cancer drugs. AI and computational biology have proven to be boons to scientists searching for patterns in massive datasets, but some researchers are raising alarms about how AI and other computational tools are developed and used. “I see a misconception where some people think that AI is so intelligent that you can just throw data at an AI model and it will figure it all out by itself,” says Andrei Osterman, PhD, vice dean and associate dean of curriculum for the Graduate School of Biomedical Sciences and professor in the Immunity and Pathogenesis Program at Sanford Burnham Prebys. “In many cases, it's not that simple.” Read more: https://bit.ly/3SRrbhJ #artificialintelligence #computationalbiology #chatgpt #data

Here are some key points to consider: 1. Data Processing and Insights: AI enables researchers to process vast amounts of data efficiently. By extracting meaningful insights from complex datasets, scientists can uncover hidden patterns and correlations🎯. 2. Automation of Repetitive Tasks: AI algorithms can automate repetitive tasks, freeing up researchers' time for more creative and strategic work. From literature reviews to data analysis, AI tools streamline various aspects of the research process🧲. 3. Enhanced Quality of Research: AI-powered tools contribute to the quality of research outcomes. Whether it's identifying relevant papers, predicting protein structures, or analyzing gene expression data, AI assists researchers in making informed decisions🔍. 4. Language Editing and Grammar: Researchers can use AI tools to improve the clarity and correctness of their academic writing. These tools help with grammar, style, and language consistency, ensuring that research articles are well-presented🧮. 5. Ethical Considerations: While AI offers immense potential, researchers must navigate ethical challenges. Ensuring transparency, fairness, and accountability in AI models is crucial for responsible research📝. Remember, AI is not a replacement for human expertise but a powerful ally. Let's embrace this exciting era of AI in research and continue pushing the boundaries of knowledge! 🚀 📞 +41445207640 ✉ Dr.schmidt@petdoctors365.com 🌐 https://lnkd.in/dsa_uxxY #AI #Research #AcademicExcellence

Reflection on AI talk by Assoc. Prof. Dr. Johari Abdullah The talk by Assoc. Prof. Dr. Johari Abdullah on November 13, 2024, was an insightful session about the significance of AI tools in education and university settings. It highlighted the potential of AI to enhance productivity, support academic tasks, and foster efficiency. Through examples such as ChatGPT, NotebookLM, and Suno, Dr. Johari emphasized how these tools can assist in note-taking, individual work, and group assignments, enabling students to generate ideas and streamline their workflow. The discussion on the pros and cons of AI was particularly enlightening. On the positive side, AI does reduces costs, improves efficiency, and supports creativity in some specific contexts. However, Dr. Johari also warned about its drawbacks, such as a potential decline in creativity, emotional disconnect, and the risk of fostering laziness among its users. These insights were important in understanding AI's dual-edged nature. Overall, the session deepened my understanding of AI's role in academic and inspired me to use AI tools thoughtfully. It also underscored the importance of balancing efficiency with critical thinking and creativity to maximize the benefits while minimizing the risks associated with AI technologies.

💡 Four Things We Learned from #AI Winning the #Nobel Prizes in Physics and Chemistry 💡 The 2024 #Nobel Prize in Physics made headlines for awarding Geoffrey Hinton and John Hopfield, two pioneers of #AI. The 2024 #Nobel Prize in Chemistry was awarded to two scientists at #Google #Deepmind, Demis Hassabis and John Jumper (who led the development of the company’s AI model, #Alphafold), and Prof David Baker of the University of Washington. Here’s what these historic wins tell us about AI's future: 1. AI is now Nobel-worthy It may seem like a stretch, but AI essentially won a Nobel Prize. Hinton and Hopfield’s work on #neural #networks, key for modern AI, has made the development of facial recognition solutions and tools like #ChatGPT possible. Hassabis, Jumper and Baker share the chemistry prize for “computational protein design and protein structure prediction”. Through the use of Alphafold in research, it’s been used in applications such as understanding antibiotic resistance and developing enzymes that can decompose plastic. 2. The "Godfather of AI" uses ChatGPT Geoffrey Hinton, the "Godfather of AI," isn't just an innovator, he’s also a user. He mentioned in multiple interviews that he actually often uses ChatGPT, a tool powered by the neural networks he helped create. However, he acknowledges its current limitations, knowing it doesn't always get things right. 3. AI could outsmart humans Hinton has sounded the alarm on AI’s potential to surpass human intelligence within 5 to 20 years. He warns that machines could become smarter than us. 4. AI’s potential for scientific discovery Hassabis says that Alphafold should be seen as proof of AI’s potential for accelerating scientific discovery. He believes AI has the potential to benefit society, but like Hinton, he cautions us about AI’s uses and says it carries risks as well. While 1 and 2 are definitely interesting and tell us about the technology world we live in right now, numbers 3 and 4 are a call for all technology leaders to take responsibility to ensure that AI is developed ethically, prioritizing human well-being above all else. This includes applying principles of transparency, inclusivity, fairness, safety, security and sustainability. I am ready and committed to do my part.

It's awesome to stay on top of the ever-evolving world of AI! Here's a breakdown of some key accounts to follow on X for a broad overview of AI advancements: @DemisHassabis: Co-founder and CEO of DeepMind. He shares insights into cutting-edge AI research, including protein folding and game-playing breakthroughs. @lexfridman: MIT researcher and podcast host. Lex interviews some of the brightest minds in AI, offering in-depth discussions on AI's technical, philosophical, and societal implications. @AndrewYNg: Founding lead of Google Brain, co-founder of Coursera, and a leading voice in AI education and accessibility. @OpenAI: The organization behind GPT models like ChatGPT. They announce new releases and research findings. @MIT_CSAIL: The official account of MIT's Computer Science and Artificial Intelligence Laboratory, sharing the latest research from one of the world's leading AI institutions.

_Your Brain's Neurons Can Improve AI_ 1. _New Research_: Scientists at the Flatiron Institute in New York have created a new model of how brain neurons work. 2. _Old Model_: Current AI systems are based on a 1960s model of brain neurons, which is limited. 3. _New Model_: The new model shows that brain neurons have more control over their surroundings than thought. 4. _AI Implication_: This new model can be used to create more powerful AI systems that mimic the brain's abilities. 5. _Benefits_: This can lead to better AI systems for tasks like image recognition, speech recognition, and decision-making. _Aftermath_ 1. _New AI Chatbots_: New AI chatbots like Meta AI, Claude 3.5 Sonnet, and Dot are being developed to compete with ChatGPT. 2. _AI in Geology_: AI is being used to help geologists study microfossils, tiny remains of ancient life forms. In summary, new research on brain neurons can improve AI systems, and there are many new developments in the field of AI, including new chatbots and applications in geology.

Breakthrough in AI-Driven Drug Discovery Researchers have unveiled a groundbreaking AI system that significantly accelerates the identification of potential drug candidates. Collaborating with major pharmaceutical firms, this AI model uses advanced machine learning to predict interactions between compounds and biological targets, potentially transforming drug development. AI Tackles Climate Change A new AI initiative is setting the stage for enhanced climate action. By employing sophisticated machine learning algorithms to model and predict climate patterns with greater precision, this project aims to support policymakers in making informed decisions for environmental protection and resource management. Updated Ethical AI Guidelines The International AI Ethics Board has released new guidelines focused on transparency, fairness, and accountability. These updates are designed to address bias and ensure responsible AI development and deployment, reinforcing the commitment to ethical practices in technology. AI in Creative Arts A recent exhibition features stunning artworks created entirely by AI. Neural networks trained on diverse artistic styles are pushing the boundaries of creativity and sparking intriguing conversations about the essence of creativity and originality in the digital age. AI-Powered Tutoring Platform An innovative AI-driven tutoring platform has been launched, offering personalized learning experiences for students. This platform adapts to individual learning styles and progress, providing tailored support to enhance educational outcomes. To get regular update on AI Visit - https://lnkd.in/g2-bE7uY #AI #MachineLearning #Innovation #ClimateChange #DrugDiscovery #EthicsInAI #CreativeAI #EducationTechnology

Do you remember nanotechnology? It was going to change the world. Nanobots were/are going to invade the body to perform controlled interventions to cure disease. What about the human genome project? Going to change healthcare for ever. Stem cells? Robots? The internet? As humans we so desperately want to feel that we are evolving and we do this by grasping, not at straws per se, but new ideas and fashions. Now we are at a stage where AI "Artificial" Intelligence is cropping up everywhere with great excitement and fear being expressed in equal measures. So much for hope and hype. AI is not new and it has been through cycles of boom and bust in its long history. Yes, I do have great hopes for AI when used intelligently by good people. The dangers are not in AI itself but when it is used by bad people. Think guns in the USA. My personal journey with AI began in 1984. A story for another day but it has left me with great respect for the potential of AI but also a healthy skepticism for the claims of those who are embedded too deeply in the myths rather than the magic of current AI. In this first, in a series of blog posts on our journal website I look at an interaction with a sophisticated chatbot, ChatGPT. Has insight been programmed into the program? Yes I think so. What do you think? Dr.Ayyappan Thangavel Niroshan Sivathasan (Dr. Niro, M.D.) Shekhar Kumta Dr Michael Edema L. Charmaine Childs Michael Geci, MD Christopher Caddy Georgina Halford-Hall Tor Davies Edmund Fitzgerald O'Connor Salmaan Dalvi Burak Delibas P Bola Goratile Kabelo Motswagole Kuukua Wilson, MA Farhang Tahzib M. Laiq George Lundberg Horacio F. Mayer, MD, FACS Benny Chung-Ying Zee