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Buried in Coursera’s 300-page prospectus: two failed merger attempts, competing bidders, a rogue shareholder, and a combined market cap that shrank from $3.8 billion to $1.7 billion.
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Academic Writing Made Easy
Mechanics of Materials I: Fundamentals of Stress & Strain and Axial Loading
Digital Marketing
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Exploring UK's role in responsible AI innovation, covering safety, ethics, governance, and practical applications like tactile robotics. Insights from experts on fostering trust and creating impactful AI solutions.
Exploring AI's limited impact on pandemic response, challenges in health data science, and lessons from COVID-19. Experts discuss AI strengths, weaknesses, and future potential in healthcare.
Explore digital human rights challenges in AI era: privacy, free speech, security. Discuss threats, policies, and regulatory frameworks for protecting individual rights in the digital age.
Explore real-world AI applications in healthcare through startup experiences and investor insights. Gain valuable perspectives on deploying academic research in the medical market.
Showcasing climate forecasting and mitigation research to future-proof cities, build sustainable systems, and pre-empt climate security challenges through AI and data science innovations.
Explore innovative methods for monitoring and predicting climate change, from Antarctic sea ice to forest ecosystems, with leading environmental scientists using AI and data science.
Experts discuss responsible AI, diversity in data science, and creating fair, inclusive AI systems. Explore challenges and opportunities in algorithmic fairness, team diversity, and equitable AI access across society.
Explore trustworthy communication of COVID-19 statistics and risks, focusing on official releases, background actuarial risk, and lessons for effective public understanding during crises.
Exploring the role of data science in policy-making during COVID-19, emphasizing open data methods, interdisciplinary collaboration, and the challenges of deploying AI expertise to address real-world problems.
Explore deep learning techniques for analyzing mobile network traffic, enhancing urban data interpretation and smart city development.
Explore urban modeling scenarios using AI, focusing on smart cities, deep learning for mobility data, and building resilient systems for future urban challenges.
Explore causal inference in AI prediction, enhancing algorithms with 'what if' capabilities for decision-making and fairness. Learn about counterfactual prediction challenges and methodologies.
Exploring causal inference in AI prediction algorithms for decision-making, focusing on 'what if' scenarios in healthcare and insurance, with applications to COVID-19 pandemic response.
Exploring counterfactual prediction in AI: enhancing prediction algorithms with 'what if' capabilities for improved decision-making and fairness in healthcare, insurance, and beyond.
Explore challenges and solutions for online safety, AI moderation, and disinformation in the digital age with experts discussing regulation, privacy, and social media's role.
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