Inventions

AI: Lagos raises over $1.2bn Nigeria’s startup investments in 2023 – Sanwo-Olu

Lagos State Governor, Babajide Sanwo-Olu, has revealed that Lagos-based startups raised over $1.2 billion in 2023, accounting for 75% of all startup investments in Nigeria. The announcement was made on Thursday during the unveiling of the Lagos Digital Service Platform at the Art of Technology Lagos 6.0 conference, themed “AI and the Lagos Digital Economy,” held in Victoria Island, Lagos. Bridging Gaps with Technology Speaking through the Deputy Governor, Dr. Obafemi Hamzat, Sanwo-Olu emphasized the state government’s commitment to modernity, inclusivity, and innovation under its Vision 2052 development plan. He highlighted that the Lagos Digital Service Platform is designed to bridge the gap between government and citizens, fostering trust and delivering impactful governance. “The long-term development plan focuses on a thriving economy powered by innovation, modern infrastructure supporting a smart city vision, effective governance that adapts to the needs of its people, and a human-centric approach ensuring no one is left behind,” he said. “We are laying the foundation for a Lagos that is not only a tech hub but also a global example of sustainable urban development.” Lagos as a Technology Leader in Africa Sanwo-Olu reaffirmed Lagos’ position as both Nigeria’s economic nerve center and Africa’s leading technology hub. With over 60% of Nigeria’s tech startups based in Lagos and supported by accelerators, incubators, and global tech giants, the state continues to lead in fostering innovation. The governor attributed the success of Lagos-based startups to deliberate policies and investments, creating an environment that supports innovation and positions Lagos as a global player in the technology value chain. He also highlighted the state’s focus on advanced technologies like artificial intelligence (AI) and blockchain to drive sustainable growth. “Through the Enterprise Architecture Project, we are harmonizing data systems to prepare for AI-driven service delivery,” Sanwo-Olu explained, calling on stakeholders to collaborate. “Policymakers, educators, entrepreneurs, and innovators must work together as we navigate the future of artificial intelligence.” Fostering Innovation Through Policy and Education The Commissioner for Innovation, Science, and Technology, Mr. Tunbosun Alake, outlined the state government’s efforts to integrate AI into Lagos’ future. He noted that the Lagos State Innovation Bill is creating an enabling environment for AI research and development, incentivizing startups and researchers while embedding AI education in schools. “Lagos, as the nation’s tech capital, is uniquely positioned to capture a significant share of the growth in Artificial Intelligence,” Alake said. “The state is collaborating with national and regional stakeholders, such as the Federal AI Collective, to develop ethical and regulatory frameworks for responsible AI deployment.” He further highlighted the transformative potential of AI in critical sectors, including agriculture, healthcare, and transportation. “In agriculture, AI can enhance yields through predictive analytics. In healthcare, it improves diagnostics and personalized medicine, and in transportation, it optimizes systems with AI-driven insights,” Alake said. Preparing for an AI-Driven Future Alake stressed the importance of skilled AI engineers and data scientists in solving real-world problems. He noted that the state government is actively working to equip its youth with the tools and knowledge needed to drive innovation in AI and other emerging technologies. A technology expert, Mr. Olugbolahan Olusanya, underscored the advantages Lagos stands to gain by embracing AI. He pointed out the large youth population in Lagos as a key asset in the state’s ambition to leverage fast-growing technologies. However, he urged the government to provide the necessary infrastructure to support AI adoption across all sectors. A Vision for the Future The Lagos Digital Service Platform, coupled with investments in AI and innovation, marks a significant step in the state’s vision of becoming a global technology hub. With strong policies, public-private partnerships, and a focus on sustainable urban development, Lagos is poised to lead Africa in the digital economy while addressing local challenges through innovative solutions.

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Google says its new AI model outperforms the top weather forecast system

Google’s DeepMind team has introduced an advanced AI model for weather prediction called GenCast, marking a significant leap in forecasting technology. The announcement, detailed in a paper published in Nature, highlights GenCast’s ability to outperform the European Centre for Medium-Range Weather Forecasts’ (ECMWF) Ensemble Prediction System (ENS), which is widely regarded as the world’s leading operational forecasting tool. What Makes GenCast Different? DeepMind researchers explain that while their previous weather model relied on deterministic predictions—offering a single “best guess” for future weather conditions—GenCast adopts a more sophisticated approach. It generates an ensemble of 50 or more predictions, each representing a different potential weather outcome. This creates a “complex probability distribution” of future scenarios, offering a nuanced understanding of uncertainties and probabilities in weather patterns. In a blog post accompanying the research, DeepMind described this ensemble method as a way to better capture the inherent variability in weather systems. This approach enables GenCast to simulate a wide range of possible outcomes, allowing for more robust and flexible decision-making in scenarios where weather uncertainty is critical. Performance Against ENS To evaluate GenCast’s capabilities, the DeepMind team trained it on historical weather data up to 2018 and then compared its forecasts for 2019 against those produced by ENS. The results were striking: GenCast delivered more accurate predictions 97.2% of the time. This level of precision represents a transformative improvement in medium-range weather forecasting, a domain where even slight enhancements can have significant real-world implications for agriculture, disaster preparedness, and energy management. Integration and Accessibility Google plans to integrate GenCast into its broader suite of AI-driven weather models, already being incorporated into widely used platforms like Google Search and Google Maps. These integrations aim to deliver more reliable and precise weather information directly to users, enhancing everyday decision-making, from planning commutes to preparing for extreme weather events. Beyond consumer applications, Google is also opening the doors for researchers and developers. The company intends to release both real-time and historical forecasts generated by GenCast, allowing others to utilize this data in their own research and modeling efforts. This move is expected to accelerate advancements in fields like climate science, disaster risk management, and renewable energy optimization. The Bigger Picture GenCast represents a broader trend of applying cutting-edge AI to solve complex, real-world problems. Weather prediction, traditionally reliant on physics-based models and vast computational resources, is now benefiting from the scalability and adaptability of AI. With its ability to account for uncertainties and provide probabilistic insights, GenCast not only improves forecast accuracy but also equips decision-makers with more actionable data. By making GenCast accessible for public use and integrating it into everyday tools, Google and DeepMind are positioning this innovation as a cornerstone of future weather forecasting, potentially reshaping how societies respond to and plan for meteorological challenges. This initiative underscores the transformative potential of AI when applied to critical global systems, combining technological sophistication with real-world impact.

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