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China's treatment of the Uyghur Muslim community within its borders is being overlooked by the global outrage machine, despite the country grandstanding about the crisis in Gaza. The Uyghurs are suffering from mass detention, population suppression, and cultural assimilation, yet there is little protest or diplomatic effort to address their plight. This indifference exposes double standards and the danger that China presents to universal values. While the Palestinian cause is important, the Uyghurs also deserve outrage and support from the international community. Most world leaders have ignored the Uyghurs' mistreatment, even those who oppose Israel at the UN. Efforts to draw parallels between Gaza and Xinjiang are overlooking fundamental differences in history and context.
The Global Outrage Machine Skips the Uyghurs
AI tools like machine learning (ML) can improve quantum error correction (QEC) by addressing the limitations of traditional QEC methods. This includes using convolutional neural networks (CNNs) for decoding, reinforcement learning (RL) for adaptability, and generative models for capturing complex noise dynamics. However, there are challenges such as data scarcity, scalability, and integration with quantum hardware. Interdisciplinary collaboration is needed to fully realize AI's potential in advancing quantum computing.
AI for Quantum Error Correction: A Comprehensive Guide to Using Artificial Intelligence to Improve Quantum Error Correction
The article discusses the need to prioritize the sustainable development of artificial intelligence (AI). It highlights that AI is a transformative technology with the potential to address major global challenges, but the current approach of developing AI models through brute force is unsustainable. The size and computational costs of AI models have increased significantly, leading to high energy consumption and barriers to entry for AI innovation. The article calls for a shift towards developing sustainable AI models that are more efficient, equitable, and capable of genuine understanding.
Why it is time to prioritize  the sustainable development of AI
AI in agriculture is projected to grow from $1.7 billion in 2023 to $4.7 billion by 2028. AI offers great promise in improving sustainability in agriculture. Regenerative agriculture, digital technology, and AI can help resolve the contradiction between sustainable and productive agriculture. Regenerative practices, combined with precision agriculture and advanced technologies, can lead to financial benefits and limit climate change. However, supportive policies at local, national, and international levels are crucial for the full potential of regenerative agriculture and AI to be realized. Collaboration between policymakers, businesses, governmental bodies, and farmers is necessary to address financial and technological requirements. Incentive programs, research funding, carbon markets, education, extension services, and regulatory frameworks are needed to support the adoption of regenerative practices and AI in agriculture.
Delivering regenerative agriculture through digitalization and AI
The World Economic Forum hosted a dialogue exploring ways to accelerate cooperation between the private sector, policy makers, and labor unions in the United States. The key takeaways from the discussion include the importance of engaging with workers to proactively manage transitions, the need for innovative legislation to drive collaboration and innovation, and the focus on building worker resilience through collaboration between businesses and labor unions. The article also highlights examples of successful partnerships, such as the Microsoft-AFL-CIO partnership, and emphasizes the role of state-level initiatives in addressing workplace challenges.
4 ways to strengthen US industries with unions in 2025
Europe must take proactive steps to establish free trade agreements, prioritize strategic investment in key technologies, launch a strategic investment offensive, and reduce regulatory complexity in order to build a strong and sovereign Europe in the face of a shifting global landscape. The US-China trade dispute and geopolitical flashpoints are challenging Europe's growth and stability. Europe must prioritize its own interests through trade agreements, promote key technologies, mobilize private capital, and streamline regulations to maintain its place in the global economy.
Australia, Austria, Belarus, Belgium, Bulgaria, Canada, Chile, Croatia, Cyprus, Czech Republic, Denmark, Estonia, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Mexico, Poland, Portugal, Romania, Russian Federation, Slovenia, Spain, Sweden, Switzerland, Taiwan, China, Türkiye, Ukraine, United Kingdom | Financial services
4 ways to build a strong, sovereign Europe in a shifting world
Elections in 2024 marked the largest election year on record, with over 2 billion people voting worldwide. This will have a significant impact on the governance of several major democracies, including the United States, India, South Africa, France, and Mexico. In the United States, President Donald Trump plans to implement a series of executive orders and directives to reshape policies on immigration and energy. Indian Prime Minister Narendra Modi, despite winning a third term, will need to address issues such as unemployment and economic disparities. South Africa's President Cyril Ramaphosa aims to revive the economy and reduce high unemployment rates. French President Emmanuel Macron faces a fragmented parliament and potential political and economic turmoil. Mexico's first female president, Claudia Sheinbaum, vows to tackle women's rights and environmental challenges while dealing with a budget deficit and economic growth concerns.
After a year of elections, what's next for democracy in 2025?
AI is set to protect global supply chains from future shocks by refining and optimizing processes. Initiatives like the Global Supply Resilience Initiative (GRSI) promote supply chain visibility and data sharing, enabling organizations to predict and respond to disruptions. Climate change, geopolitics, and industrial disputes continue to put pressure on supply chains, highlighting the need for resilience and sustainability. Advanced technologies will drive digitalization and automation in supply chain management, altering supplier bases, labor issues, and access to real-time information. The adoption of AI will revolutionize how products and services are made and delivered, transforming the industry.
ICT, Financial services
AI will protect global supply chains from the next major shock
The European Commission has withdrawn €1.04 billion in aid from Hungary due to the country's ongoing political struggle with the EU. This decision has broader economic and geopolitical implications. Hungary's Prime Minister, Viktor Orbán, has consistently disregarded EU standards and democratic principles. The EU's cohesion policy allocates significant funding to poorer countries, which gives power to the European Commission. Orbán has been protected for some time by his affiliation with the European People's Party (EPP), but after going too far in his repressive measures, he lost support. The EU introduced the rule of law conditionality mechanism in 2020 to suspend or withdraw funds from member states with concerns regarding democracy. Hungary had over €30 billion frozen, some of which has been unfrozen in December 2023. However, €20 billion remains withheld. Despite this technical issue of fund withdrawal, it signals a changing approach by the EU towards authoritarians. It remains to be seen whether the EU can maintain its rigorous approach or succumb to pressure from populist governments. Orbán has reacted angrily and threatened to use his national veto more aggressively, but Hungary's economic fragility may limit his actions. Opposition to Orbán is growing within Hungary.
Hungary
Why has the EU stripped Hungary of €1 billion? The latest confrontation explained
The tech sector cannot build a sustainable ecosystem for Large Quantitative AI models alone. While both technology firms and government agencies are investing in AI, a whole ecosystem involving academia, business, and finance is necessary. The next evolution of AI, with Large Quantitative Models (LQMs), will have a significant impact on the physical world. Academia must prioritize STEM education and workforce development, while business and finance play a crucial role in providing capital and nurturing promising technologies. The public sector needs to make strategic investments and modernize to create opportunities for startups and established enterprises. Collaboration across sectors is essential to scale the AI ecosystem and benefit society.
Financial services
Why the tech sector can't build a sustainable ecosystem for Large Quantitative AI models alone
AI, combined with technologies like digital twins, can unlock new possibilities for global productivity and sustainability. AI enables manufacturers to make data actionable, improve decision-making, and increase efficiency. When AI is combined with digital twins, the impact is even greater, allowing for performance monitoring, optimization, and creating realistic simulations. Industrial AI assistants empower people to focus on higher-value work and can help in areas such as machine programming and maintenance. By providing the right training, generative AI can help people gain expertise faster and mitigate the shortage of skilled labor. As industries adopt digital technologies, global productivity will improve, as seen in the IT sector.
How AI can unlock new possibilities for global productivity and sustainability
Deploying AI at scale requires a significant increase in computing capacity, which puts a strain on the power grid. The demand for AI is growing, and there are concerns that power supply may not be able to keep up. The power needs for data centers have skyrocketed due to AI deployments, and the increase in power demand from AI alone is estimated to be 200 terawatt-hours per year by 2030. Some large corporations are buying or building their own nuclear power plants, but other organizations need stakeholders and policymakers to find solutions for increasing power capacity and improving the grid. Making AI more efficient and using power more wisely is crucial for its success.
Scaling AI without breaking the grid: The path to sustainable innovation
OpenAI plans to restructure its corporate organization by establishing a public benefit corporation (PBC) to attract investment for the development of artificial general intelligence (AGI). The restructuring involves transforming OpenAI's for-profit arm into a PBC that aims to balance societal interests with shareholder value. The company recently raised funds at a high valuation, contingent on changing its structure. OpenAI's co-founder, Elon Musk, is attempting to block the plan, alleging contract violations prioritizing profit over the public good. OpenAI's transition to a PBC aligns it with competitors such as Anthropic and xAI, who have recently secured significant funding.
OpenAI plans corporate restructure to attract investment for AI development
Nvidia is focusing on robotics as a growth area amidst increasing competition in the AI chip market. The company plans to launch its next-generation compact computer, Jetson Thor, for humanoid robots. Nvidia Vice President of Robotics, Deepu Talla, believes the robotics market has reached a tipping point. Despite competition from rivals like AMD and cloud giants such as Amazon, Microsoft, and Google, Nvidia's valuation has exceeded $3tn due to strong demand for its AI chips. The robotics market is still emerging, with start-ups facing challenges in scaling, cost reduction, and improving robot accuracy.
Nvidia targets robotics growth amid rising AI chip competition-report
AI is revolutionizing decision-making by enhancing human judgment and driving better outcomes and operational efficiency. It is increasingly adopted across industries, reshaping how decisions are made. However, AI has its limitations and cannot fully replace human leaders in complex decision-making that requires context, human insight, emotional intelligence, empathy, and ethical reasoning. AI excels at managing repetitive and data-intensive tasks but struggles with tasks that necessitate "human-like" cognitive functions. Human oversight is necessary to ensure fair and inclusive decision-making and to address the biases and limitations of AI technology.
AI is revolutionising decision-making, but it can’t replace human leaders
The World Economic Forum and the Digital Cooperation Organization have launched the Digital Foreign Direct Investment (FDI) Initiative to boost cross-border digital investment in emerging markets. Rwanda's Digital FDI-Enabling project is leading the way in implementing this initiative, aiming to foster digital growth through targeted actions. The project focuses on cultivating a digital-friendly investment climate to attract foreign direct investment and drive sustainable growth. Extensive consultations with stakeholders have been conducted to assess Rwanda's enabling environment for digital FDI.
Rwanda
Digital FDI Initiative: Digital FDI-Enabling Project in Rwanda
The Digital FDI-Enabling project in Rwanda aims to cultivate a digital-friendly environment for foreign direct investment (FDI) and drive sustainable growth. This initiative, launched by the World Economic Forum and the Digital Cooperation Organization, assesses Rwanda's governance frameworks and identifies actionable measures to enhance cross-border digital investment in emerging markets. Through extensive consultations with stakeholders, the project presents findings on Rwanda's enabling environment for digital FDI.
Rwanda
Digital FDI Initiative: Digital FDI-Enabling Project in Rwanda
Generative AI has sparked greater interest and investment in data quality and capabilities, leading companies to focus on getting data right. A survey of Fortune 1000 and global business leaders reveals that corporate investments in AI and data are increasing, organizations are seeing business value from AI investments, and there is a gradual transformation driven by AI. Additionally, companies are prioritizing responsible AI, hiring chief AI officers, and incorporating AI and data leaders into the C-suite to drive business goals.
6 Ways AI Changed Business in 2024, According to Executives
Transparency and responsible frameworks are crucial for building trust in AI and maximizing its benefits. Engaging diverse stakeholders and skills throughout AI design and development fosters collaboration and reduces bias. Transparent governance, proactive communication, and algorithmic guardrails are critical for mitigating risks and promoting trust in AI. Despite its potential for good, there are fears and distrust surrounding AI that leaders need to address. To instill confidence, organizations should adopt a transparent approach, develop responsible AI frameworks, engage stakeholders, involve diverse skills, collaborate in implementation, apply good governance principles, and embed guardrails into AI models.
Let’s be clear: Why transparency is key to unlocking AI’s full potential
Agentic AI, brain-machine interfaces, space missions, quantum computing, and nuclear fusion are some key areas to expect developments in science and technology in 2025. Agentic AI is likely to see growth as AI tools become more independent, with applications ranging from computer-based tasks to practical robots. AI is also expected to advance in various scientific fields, such as drug discovery and early-warning systems. Space missions include China's Tianwen-2 and the publication of data from the Euclid telescope. Brain-machine interfaces will continue to be researched, with discussions on neurorights and mental privacy. Quantum computing and nuclear fusion are areas attracting significant funding for further advancements.
Brain implants, agentic AI and answers on dark matter: what to expect from science in 2025 – podcast

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