Shilpa Karkeraa

We are working on an intricate challenge in modern healthcare in #Australia to tackle the portability issue of causal CDSS from one healthcare provider to another healthcare provider by leveraging the meta-heuristic approach and AI. To mitigate this challenge, we have proposed an Adaptive Semantic Framework (ASF) which will do the needful adjustments in the existing CDSS according to a new environment. The abstract of our paper is given below: Clinical Decision Support Systems (CDSS) are a critical part of modern healthcare, assisting healthcare practitioners in making precise decisions. However, most of the existing CDSSs are static, which makes adaptation to a new environment or changes in the same environment challenging. This is where the Adaptive Semantic Framework (ASF) comes in. In a recent paper, a team proposed an ASF for CDSS adaptation to a changing environment. The framework includes various methods such as Knowledge-Based Systems (KBS) and Data-Driven Elements (DDE) to adjust the CDSS to new conditions. This framework addresses two significant challenges of CDSS: its maintenance and the issue of portability across different hospitals with varying data ecosystems. With the ASF, CDSS can now adapt to a new environment or local changes in the same environment, including different types of patients, different ecosystems, and varying guidelines. #CDSS #HealthcareTechnology #AdaptiveSemanticFramework #DataDrivenElements #KnowledgeBasedSystems #Research

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Bridging the AI Divide: A Path Forward for India and Asia In an era where artificial intelligence (AI) is no longer just a buzzword but a tangible driver of change, we stand at a crossroads. As Henry Wang insightfully remarked, "AI follows the path of humans, leaving humans no path to go. AI will make those who control it extremely wealthy, make the rich who do not control it poor, and make the poor even poorer." This profound statement echoes the concerns of many about the burgeoning gap between the 'haves' and the 'have-nots' in the context of AI. The rapid advancement and integration of AI into various sectors have the potential to significantly widen this gap, especially in diverse and populous regions like India and Asia. The digital divide, already a challenge, could deepen, leaving swathes of the population at a disadvantage, unable to reap the benefits of AI-driven growth. However, this does not have to be our inevitable future. As leaders, policymakers, and stakeholders in this digital age, we have the power and responsibility to steer the course towards a more inclusive AI future. Here are a few steps we can take to bridge this divide: ➡️Invest in Education and Training: Ensuring widespread access to quality education and training in AI and digital skills can empower individuals across all socio-economic spectrums to participate in and benefit from the AI economy. ➡️Promote AI Ethics and Inclusivity: By embedding ethical considerations and inclusivity at the heart of AI development, we can ensure that AI technologies are designed to serve and benefit a broad spectrum of society, not just a privileged few. ➡️Foster Public-Private Partnerships: Collaborations between governments, the private sector, and educational institutions can accelerate the development of infrastructure, policies, and programs that democratise access to AI technologies. ➡️Encourage AI for Social Good: Prioritising the development and deployment of AI solutions that address social, economic, and environmental challenges can ensure that the benefits of AI are widely shared and contribute to the greater good. As the Chief Strategy Officer and Trade Commissioner of INDIAN ECONOMIC TRADE ORGANIZATION, and Co Founder of Ratchet Capital, I am committed to leading by example and working collaboratively with partners across sectors to ensure that as we navigate the AI revolution, we do so with a vision of inclusivity, equity, and shared prosperity. The journey ahead is challenging, but together, we can shape an AI-enabled future that uplifts and empowers every individual, not just in India and Asia but around the world. Let us embrace this opportunity to redefine the path of progress, ensuring that AI becomes a tool for bridging divides rather than widening them. The time to act is now. #AI #Inclusivity #DigitalDivide #FutureOfWork #Leadership #India #Asia

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The 7th workshop on Neural Scaling Laws is about to start: https://lnkd.in/gQSB5k8v Scaling laws, emergency, alignment, transfer learning, with a focused track on multilingual models. Looking forward to kick it off with Irina Rish and discuss all these topics with Yuhai Tu, Paul Bogdan, Hailey Schoelkopf, Darshil Doshi, Rio Yokota, Neha Sengupta, Preslav Nakov, Tatiana Shavrina, PhD, Yishi Xu. Join in person or virtually! #icml2024 #ai

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Time Magazine covers my inputs on “India’s AI Ambitions” and quotes “India is the Data Capital of the world and with its DPI based approach to technology, its leapfrogging other societies “ https://lnkd.in/dbM6cJ7u

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!!AI Adoption!! In a recent study, over 40% of Japanese firms revealed they lack AI adoption plans, highlighting a significant challenge in harnessing the full potential of artificial intelligence. I wonder how is Croatia doing comparatively? However, both countries face similar obstacles: workforce readiness and integration of AI in traditional industries. Embracing AI can drive innovation and economic growth, making it imperative for businesses worldwide to develop comprehensive AI strategies. #AI #Innovation #BusinessStrategy #Croatia #Japan #FutureOfWork https://lnkd.in/dXSjP5hJ

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🔍 Who and How Created Perplexity, an AI Search Engine? An interview (https://lnkd.in/gFh9e9Wq) with Aravind Srinivas, the founder of Perplexity AI, has been published. The company's objective is to build the world's smartest search engine. Insights from the interview ⚪The world's smartest individuals are not necessarily those who have all the answers <...>. They're the smartest because they know which questions to ask. ⚪When I moved to Berkeley, a friend recommended that I watch the TV show "Silicon Valley" (https://lnkd.in/gBj7f4Hz). It's hilarious and realistic. Some episodes of the show actually happened in my life. The show motivated me to launch a startup. ⚪The world of Silicon Valley is the complete opposite of the rest of the world. Here, investors respond to cold emails. ⚪Young people's energy is contagious, especially in small teams with little to lose. It inspires you to launch your startup. ⚪The best ideas are the ones people will say to you, "Who will even work on this?" A brief biography of Aravind 2017: Moved to the USA from Chennai, an Indian metropolis of geeks, where he graduated from the local equivalent of MIT; 2021: Received his PhD from the University of California, Berkeley; 2018 to 2019 and 2021: Interned and worked as a researcher at OpenAI, DeepMind, and Google; August 2022: Co-founded Perplexity with Google researcher Denis Yarats and world champion at competitive programming Johnny Ho. What inspired Aravind to launch Perplexity? 📕 Books. During his internship at DeepMind, he worked all day in the office and spent nights reading books in its wonderful library. Two books had a significant impact on him: "How Google Works" by Eric Schmidt and Jonathan Rosenberg and "In the Plex: How Google Thinks, Works, and Shapes Our Lives" by Steven Levy. 🖥 Event. The launch of GitHub Copilot, an AI tool that assists engineers in writing code. How did Perplexity gain popularity? 🐤 Viral effect. Initially, the search engine operated with Twitter data; you could "perplex" a username to obtain an activity analysis. Users began sharing screenshots, and Jack Dorsey, Twitter's founder, tweeted about the new startup. How does Perplexity work, and what distinguishes it from similar services? Perplexity examines search results for your inquiry and returns a direct and accurate answer complete with quotes and links to sources of knowledge. Perplexity's search engine is based on the Claude 3, GPT-4, and Mistral Large models. 🤖 Unlike ChatGPT, Perplexity includes links to relevant information sources. 🔍 Unlike Google, Perplexity directly answers your question without requiring you to follow any links. Sources 🕊 Aravind's account on X, (https://x.com/aravsrinivas) where he actively shares news. 📹 Interview with Aravind by Marina Mogilko. (https://lnkd.in/gFh9e9Wq) #Perplexity 

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An interesting article caught my attention, India has less than 2,000 senior engineers who can build core AI products. In the race to equip India's workforce with AI skills, there's an evident paradox. On one hand, we witness technology giants like Tata Consultancy Services, Infosys, Accenture, and Microsoft undertaking massive upskilling initiatives, training hundreds of thousands of employees. Yet, on the other hand, we confront a stark reality—a severe shortage of seasoned engineers capable of building core #AI products. This dissonance begs the question: are we investing in skill acquisition without ensuring its effective utilization? The numbers might be impressive, but they mask a deeper issue—the gap between training and practical application. While the focus on mass skilling is commendable, it's imperative to ask whether we're fostering an ecosystem conducive to #innovation and #entrepreneurship. India's future prosperity hinges not merely on acquiring technical competencies but on cultivating a mindset of relentless innovation and problem-solving. We must transition from a culture of routine employment to one that champions #creativity and #disruption. This requires a fundamental shift in our approach—a departure from the traditional 9-to-5 mindset towards a culture that celebrates risk-taking, experimentation, and learning from failure. Absolutely, the need for this paradigm shift is most critical at the top level. Here, bureaucratic tendencies often hinder execution and decision-making. What's required is a shift towards a results-oriented, mission-driven approach, where leaders prioritize #action and drive change effectively; even if require to make some hard decisions. At this pivotal juncture, India cannot afford to rest on its laurels. The AI revolution demands not just skilled workers but visionary #leaders who can harness technology's potential to drive meaningful change. It's time to bridge the gap between skill acquisition and real-world application, empowering a new generation of Innovation pioneers to chart the course for India's technological prowess on the global stage. Let's seize this opportunity to shape a future where innovation knows no bounds. Let's build together, lets contribute our best of efforts. https://lnkd.in/gHfjGQEt #AI #Innovation #Entrepreneurship #Startup #WorkForce #IndiaAI

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Ai : Hunanity's greatest creation for Good and Bad. To secure ourself #zerotrustai In the journey, MS brings up VASA-1 will AI model which essentially spins a selfie image and turn it into a talking clip of you. All you have to do is upload a photo along with a voice note and let the AI model do the talking for you.

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💥💥💥 Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization Phillip Guo, Aaquib Syed, Abhay Sheshadri, Aidan Ewart, Gintare Karolina Dziugaite Abstract Methods for knowledge editing and unlearning in large language models seek to edit or remove undesirable knowledge or capabilities without compromising general language modeling performance. This work investigates how mechanistic interpretability -- which, in part, aims to identify model components (circuits) associated to specific interpretable mechanisms that make up a model capability -- can improve the precision and effectiveness of editing and unlearning. We find a stark difference in unlearning and edit robustness when training components localized by different methods. We highlight an important distinction between methods that localize components based primarily on preserving outputs, and those finding high level mechanisms with predictable intermediate states. In particular, localizing edits/unlearning to components associated with the lookup-table mechanism for factual recall 1) leads to more robust edits/unlearning across different input/output formats, and 2) resists attempts to relearn the unwanted information, while also reducing unintended side effects compared to baselines, on both a sports facts dataset and the CounterFact dataset across multiple models. We also find that certain localized edits disrupt the latent knowledge in the model more than any other baselines, making unlearning more robust to various attacks. 👉 https://lnkd.in/dpfrUDNr #machinelearning

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𝐀𝐈'𝐬 𝐃𝐚𝐫𝐤 𝐃𝐚𝐭𝐚 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐈𝐧 𝐈𝐧𝐝𝐢𝐚  "The founder wanted an LLM in a few weeks!" An AI researcher from one of the top IITs quit a startup after realizing how they were acquiring their training data. With its massive population and an ocean of data, India is becoming a hub for dark marketplaces of training data. From just-born AI unicorns to LLM (Large Language Model) upstarts, there's a mindless rush to get AI models into the market as fast as possible. In this race, some startups-and even bigger companies-are cutting corners by buying illegal data from dark marketplaces. They want to train their AI models quickly and launch them faster, overlooking the reliability or legality of data. How can we create an ethical, transparent marketplace or an exchange for training data? Wrote this for NDTV with insights from Jibu Elias and Umakant Soni who truly care for shaping #ResponsibleAI #IndiaAI #AI #India #startups #LLM https://lnkd.in/d-bfVt28

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🤔How can an engineer become a master #GTM strategist? I was intrigued by his track record: ✅IIT graduate ✅ #Engineeringleadership roles at iconic companies including Sandisk ✅ Left a senior leadership role at a category-creating Unicorn Nutanix after a successful IPO ✅ Becoming a cofounder and leading GTM at DevRev ✅ Raised $100M at $1.1 B valuation & expanding fast globally I had only heard about him from his CEO & co- founder Dheeraj Pandey previously but today had a chance to meet and listen to Manoj Agarwal in-person. As Aditi Aggarwal engaged Manoj in a riveting fireside chat followed by extended audience Q&A for over 3 hours, it all became clear. His philosophy & practices, how he approaches global go-to-market strategies and fosters a first principles based engineering mindset and a thriving company culture with risk taking and experimentation. In fact, his innate "bania mindset" #DhandeKiBaat and experience as a child helping his parents' mom and pop business became his hidden superpower. His middle class business upbringing helped take DevRev 0 to 1 in the initial founding years from his home garage to now a swanky office in Palo Alto. Not too shabby for someone who developed fluency in English conversation only after coming to the US in his twenties. Clearly Manoj did not let his Hindi medium background & upbringing become a hindrance in his career! Great reconnecting with friends old and new Mani Iyer Divye Kapoor Rajvinder Kaur Anna Vu Sandeep Todi Jimmy Padia Soumitra Sharma Aditya Sharma Manik Mehta I had a blast asking questions and learning during and after the event. What would you want to ask such a unicorn founder if they were to appear on #TheDigitalAgenda show?

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#Startup #BuildingBusiness #Entrepreneurship Building businesses beyond a level is not easy. Many get stuck. I often meet startup teams, small and medium business founders including family businesses, and large corporates on my advisory, mentoring, and coaching engagements. Corporate training work is often only with big corporates. Many of these have achieved a decent level of success and many aspire to be way bigger and achieve a greater level of success. However, aspirations alone cannot go very far. Overconfidence, irrational hope, rent seeking nexus, cutting corners and impatience become a recipe for getting stuck at a level. Here is Jensen Huang underscoring the need to find competent people, building effective teams (it is even more challenging to build a stable effective team of competent people), and addressing competition (to be better than them in serving customers). Strategy is often about being able to create greater value than competitors to be able to reward stakeholders more than anyome else. And yes it is like a guiding principle it does not provide a fixed path or guaranteed outcome. Done with the right spirit, this is also an incredible journey of personal growth for leaders.

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📢 Tomorrow marks a pivotal moment for C5i as we launch our ‘AI Impact Model’! If you’re a CXO navigating the complexities of AI in your organization, this event is tailored for you. 🌍 Join AI thought leaders Ashwin Mittal, Dr. Mohanbir Sawhney, and Lenovo’s Ajit Sivadasan as they share insights on how the model empowers business transformation and drives measurable ROI from AI initiatives. The AI Impact Model represents a robust approach to embedding AI across enterprise functions with real impact. With the expertise of these industry pioneers, expect actionable strategies, best practices, and an exclusive look at the model’s transformative potential. 📅 Don’t miss out on the AI strategies shaping tomorrow’s leaders. #C5i #C5iAIImpactModel #AIImpact #AIInnovation #CXO #EnterpriseAI #AITransformation

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Our latest report on Responsible AI titled "Responsible by Design: Industry’s Perspective on India’s AI Framework" has been widely accepted by all stakeholders and industry leaders. You can read more about the report at the following news article - https://lnkd.in/d2JDRF-z The report shares insights from CXOs and Industry Leaders, with a vast majority of them looking at Responsible AI and associated regulations as an important element of their strategy. You can read the complete report at https://lnkd.in/dQrAJktG Primus Partners India Indranuj Pathak Sayantani C.

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🚀 Product Management for AI-First Products! - 3rd Cohort for India/APAC region 🚀 Gradient Advisors is thrilled to share that we’re opening up the 3rd cohort of our course on "Product Management for AI Products" this September, alongside my fantastic collaborator, Malthi SS (Product Coach) Course details https://lnkd.in/griAHDVN 🎉 Learning the ropes of building AI-first products is no longer an option for Product managers.  The response to our first two cohorts was amazing, and it's been incredibly fulfilling to see so many of you learn, grow & transition into AI Product Management 🔍 What’s in store this time: - A deep dive into how AI is reshaping product management - Hands-on exercises that reflect real-world challenges in identifying and building AI-first products - Insights from industry leaders who’ve been in your shoes -Practical strategies to navigate the complex world of AI in product development Whether you’re looking to upskill, pivot into AI product management, or just stay ahead in this fast-moving field, we’ve crafted this course with you in mind. 👉 Want to learn more? Join our waitlist https://lnkd.in/griAHDVN Wish to read why Product Managers need to massively upskill to become AI Product Managers? Read the article shared in the first comment 👇 Let’s continue to learn, grow, and shape the future of AI products together. 💡 #ProductManagement #AIProducts #AI #ProductManager #Learning #CareerGrowth #TechCommunity

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🌍 India's Push for Ethical and Responsible AI🌍 India is taking bold steps toward **AI ethics and governance**, recognizing the immense potential of artificial intelligence while prioritizing **trustworthy and human-centric AI. The country's approach aims to create a framework that balances innovation with accountability, setting an example for **responsible AI adoption in emerging markets. 🚀 Key areas of focus include: - Ethical AI standards that prioritize fairness, transparency, and inclusivity. - Data privacy and security regulations to protect user information and prevent misuse. - AI skill development and training programs to empower a future-ready workforce. - Collaborations with global stakeholders to set benchmarks for AI governance. India's proactive stance is a reminder that AI's true potential is realized when ethics and innovation go hand-in-hand. Let’s support initiatives that make technology a force for good! https://lnkd.in/exxwnsnn Data source reference -Markus Pope #AI #EthicalAI #AIGovernance #IndiaAI #FutureOfAI #ResponsibleAI

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A must read for AI enthusiasts from Manish Bhide AI Governance is crucial in the Generative AI era to prevent incidents like the airline company's chatbot hallucinating and promising a non-existent discount. By adopting AI Governance principles, enterprises can ensure responsible AI adoption, mitigate risks, and maintain regulatory compliance.

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Advancing multilingual AI in Asia : the topic of my talk in the recently concluded NVIDIA AI summit in Mumbai really talks about how Tech Mahindra and NVIDIA together are taking LLMs for the new world order Yes there are multiple LLMs but as you all know foundation models do very well in a generic space but fail when its verticalized domain based space . They have to be fine tuned . Data has to be curated well and above all it’s not science but sort of a dark art to attain resonance of models which are guardrailed , and are ethical for an organisation. The future is just not verticalized LLms but genetic workflows as well , but the biggest area of work today is how to give reasoning and context to these models so that they establish a world model in their dreams to answer correctly. Stay tuned …. https://lnkd.in/dacH_r2Y

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