The European Commission has approved €5 billion in German state aid to support the construction of a new microchip plant in Dresden by the European Semiconductor Manufacturing Company (ESMC), led by Taiwan’s TSMC. This subsidy marks the largest awarded under the EU Chips Act and is Germany’s first such contribution. The plant, which is expected to cost a total of €10 billion, will operate as an open foundry, allowing any customer, including the joint venture partners Bosch, Infineon, and NXP, to order chip production.
The Dresden facility is set to begin production in 2027. It will focus on producing chips essential for automotive and industrial applications, though slightly behind the cutting-edge technology used in AI chips and smartphones. The plant aims to bolster Europe’s resilience against future chip shortages similar to those experienced during the COVID-19 pandemic. The EU and German officials praised the project, emphasising its strategic importance for European manufacturing.
The growing demand for data centres, driven by the AI boom, is leading to a significant increase in water consumption, particularly for cooling the computing equipment. In Virginia, home to the world’s largest concentration of data centres, water usage surged by nearly two-thirds between 2019 and 2023, rising from 1.13 billion to 1.85 billion gallons.
The trend, mirrored globally, raises concerns about sustainability. Microsoft, a key player in the data centre industry, reported that 42% of the water it used in 2023 came from regions experiencing water stress. Google, which operates some of the largest data centres, revealed that 15% of its freshwater withdrawals occurred in areas with high water scarcity.
Although many data centres use closed-loop systems to recycle water, a significant portion is still lost due to the need for humidity control, especially in dry regions. Humidified air is essential to prevent static electricity, which can damage sensitive computer equipment.
The increasing water consumption by data centres underscores the environmental challenges posed by the rapid expansion of AI and digital infrastructure, prompting concerns about the sustainability of such practices.
Researchers at the University of Auckland’s Sports Performance Research Institute New Zealand have used machine learning to delve into athletic recovery. They tracked 43 endurance athletes, gathering extensive data on sleep, diet, heart-rate variability, and workout routines. The study revealed that while certain factors like sleep quality and muscle soreness broadly influence recovery, the most effective predictors vary from person to person.
For instance, sleep data might be a strong indicator for one athlete, while for another, protein intake and muscle soreness could be more relevant. A simpler model using just a few variables performed nearly as well as more complex ones, emphasising that not all factors are equally important for every athlete. However, the effectiveness of predictions significantly improved when tailored to individual data.
The study also examined heart-rate variability (HRV) but found that predicting HRV changes based on controllable factors, like training load and diet, proved challenging. Although HRV is often used as a gauge for readiness to train, the researchers concluded that its predictive value might be limited.
Ultimately, the research underscores the importance of personalised recovery strategies. While broad patterns exist, the best approach to recovery seems to hinge on understanding the unique factors that impact each athlete individually.
MIMOS, the Malaysian Government’s applied research and development arm, has signed a Memorandum of Understanding (MoU) with the Worldcoin Foundation, Tools for Humanity (TFH), and e-government services provider MyEG to integrate Worldcoin technology into Malaysia’s digital infrastructure. This partnership significantly advances Malaysia’s efforts to modernise its digital identity systems.
Worldcoin’s technology is based on the proof-of-humanity method and uses advanced biometric and cryptographic techniques to verify individual identities securely. By implementing this system, Malaysia aims to address current identification challenges with a more transparent and tamper-proof solution. The collaboration will also explore the feasibility of local manufacturing for TFH’s Orbs, which are essential for this technology.
MyEG’s spokesperson highlighted that this integration will enhance the security and efficiency of digital transactions, foster trust in online platforms, and encourage businesses to adopt digital transformation. This move is expected to drive innovation, create jobs, and spur economic growth, aligning with Malaysia’s vision to become a leader in digital innovation.
Additionally, the partnership will support the development of a skilled workforce through training and educational initiatives, equipping Malaysians with the necessary skills for the digital age. This collaboration strengthens digital identity and security and builds a robust foundation for future technological advancements.
Plans to introduce AI-powered textbooks in South Korean classrooms have sparked concerns among parents. The government aims to roll out tablets with these advanced textbooks next year, with the goal of using them across all subjects by 2028, excluding music, art, physical education, and ethics. The AI textbooks will be designed to adapt to different learning speeds, and teachers will monitor student progress through dashboards.
However, many parents are uneasy about the impact of this new technology on their children’s well-being. Over 50,000 have signed a petition urging the government to prioritise overall student health rather than focusing solely on technological advancements. They argue that excessive exposure to digital devices is already causing unprecedented issues.
One concerned parent, Lee Sun-youn, highlighted worries about the potential negative effects on children’s brain development and concentration. She pointed out that students in South Korea are already heavily reliant on smartphones and tablets, and increased screen time in classrooms could exacerbate these problems.
The government has yet to provide detailed information on how the AI textbook program will be implemented. As the rollout approaches, the debate over the balance between technology and student welfare continues to intensify.
The UNCTAD (UN Trade & Development) published the Digital Economy Report 2024, which highlights the urgent need for sustainable and inclusive strategies in digitalisation. As the digital economy expands, its environmental toll grows significantly, with the production and disposal of devices contributing to rising energy consumption and digital waste. Developing countries bear the brunt of these environmental costs while gaining fewer benefits, often exporting raw materials and importing digital waste, exacerbating their ecological and economic vulnerabilities.
The UNCTAD report emphasises the critical need for a global shift towards a circular digital economy. It calls for durable product designs, responsible consumption, and sustainable business models prioritising recycling and reuse. Addressing these challenges requires coordinated action from policymakers, industry leaders, and consumers to curb the environmental impact and ensure that the benefits of digitalisation are shared equitably across the globe.
The report urges international cooperation to achieve this, particularly in managing critical minerals essential for digital technologies. It highlights the importance of balancing economic opportunities with environmental and social responsibilities, ensuring that developing countries are not left behind in the digital era but are instead empowered to advance sustainably.
SK Telecom and Nokia have announced a strategic partnership to implement AI-driven fibre sensing technology to enhance network reliability in South Korea. The collaboration, formalised through a memorandum of understanding, plans to roll out the innovative technology across SK Telecom’s national fixed network by the end of 2024.
The primary goal is proactively monitoring and detecting environmental changes that could impact optical cables, addressing issues before they escalate into significant disruptions. The fibre sensing technology will utilise advanced AI and machine learning techniques to monitor various environmental factors, including earthquakes, climate fluctuations, and disruptions from nearby construction activities. By continuously analysing data from SK Telecom’s commercial networks, the system aims to identify potential threats to network stability early on.
The proactive approach is designed to minimise damage from line breaks and prevent service interruptions, ensuring uninterrupted connectivity for customers. The integration of these advanced technologies allows for real-time monitoring and analysis, which is crucial for maintaining the resilience of network infrastructure. Ryu Jeong-hwan, Head of Infrastructure Strategy Technology at SK Telecom, emphasised the importance of this collaboration in accelerating the adoption of AI technologies.
He noted that this partnership prepares SK Telecom for the evolving AI landscape, positioning it as a leader in innovative network solutions. Similarly, John Harrington, President of Nokia Asia Pacific, expressed enthusiasm about integrating Nokia’s sensing technology into automated networks, highlighting their commitment to providing stable services by proactively addressing potential issues.
Chipmaker giant, Texas Instruments, has been awarded up to $1.6 billion in funding from the US Commerce Department to support the construction of three new semiconductor factories. This financial boost, part of the CHIPS and Science Act, will enable the company to build two facilities in Texas and one in Utah.
The investment is set to create approximately 2,000 new jobs and will be complemented by an additional $6 billion to $8 billion in tax credits and $10 million for workforce development.
The move aligns with the Biden Administration’s broader strategy to enhance domestic semiconductor production. With a commitment of $18 billion through 2029, Texas Instruments plans to increase its internal manufacturing capacity to over 95% by 2030. However, new facilities will produce critical analog and embedded processing chips, essential for various technologies, from smartphones to vehicles.
Apart from that, The CHIPS Act, passed in 2022, aims to boost US semiconductor manufacturing with a total of $52.7 billion in funding. This includes significant subsidies for production and research and development. The funding for Texas Instruments follows similar substantial awards to other major chipmakers, such as Intel and Micron Technology, further underscoring the US government’s commitment to strengthening the semiconductor supply chain.
Google is expanding its AI-generated search summaries, known as AI Overviews, to six new countries: Brazil, India, Indonesia, Japan, Mexico, and Britain. This follows a previous rollout in the US, which faced criticism for inaccuracies such as incorrect information and misleading content. The company has since refined the feature, adding restrictions to improve accuracy and reducing reliance on user-generated content from sites like Reddit.
The updated AI Overviews now include more hyperlinks to relevant websites, displayed alongside the AI-generated answers, with plans to integrate clickable links directly within the text. Google aims to balance user experience with publisher traffic, responding to concerns from the media industry about potential impacts on referral traffic.
Hema Budaraju, a senior director at Google, reported improved user satisfaction based on internal data, noting that users of the feature tend to engage more deeply with search queries. These updates come at a time when Google faces legal challenges and competition from AI advancements by rivals like Microsoft-backed OpenAI.
A decentralised blockchain and AI startup, Sahara AI, has successfully raised $43 million in a Series A funding round. The round saw significant backing from prominent investors including Pantera Capital, Binance Labs, and Polychain Capital. Samsung NEXT also joined the funding alongside Matrix Partners, dao5, and Geekcartel.
The funds will be utilised to expand Sahara AI’s global team, improve the platform’s performance, and grow its developer ecosystem. By leveraging its decentralised platform, Sahara AI aims to reward users, data sources, and AI trainers, rather than just the companies that create AI models. The company’s approach is seen as a shift from the traditional model, promoting transparency and fair compensation.
Founded in April 2023, Sahara AI has already partnered with leading tech firms such as Microsoft, Amazon, and Snap. These collaborations highlight the startup’s rapid growth and the increasing interest in its unique decentralised approach to AI.
As the use of AI continues to rise, concerns around data privacy, copyright, and ethical issues have become more pronounced. Sahara AI’s approach seeks to address these challenges by ensuring transparency and fairness in how AI models are developed and utilised.
