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.
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.
Klaxon AI, a start-up based in Peterborough, has received £50,000 in funding from the UK’s innovation agency, Innovate UK, to develop a new tool that allows small businesses to create computer-generated podcast adverts. The new system, expected to launch in January, will enable companies to produce 30-second podcast ads in just a few minutes, providing a cost-effective alternative to traditional advertising methods.
Co-founder Arup Biswas expressed excitement over the funding, noting that the tool will be ‘incredibly cheap’ and accessible to small businesses that typically cannot afford podcast advertising. The system will allow users to input a few words about their business or provide specific text, with AI generating the audio advert.
The service will cost about £50 for businesses to download their ad, or they can opt to use it for free on Klaxon AI’s network of podcasts. The funding is part of a broader £30 million investment by Innovate UK in high-potential businesses within the creative sector.
AMD announced plans to acquire server maker ZT Systems for $4.9 billion, aiming to strengthen its position in the AI hardware market and compete with industry leader Nvidia. The acquisition will be financed through a combination of cash and stock, with AMD leveraging its $5.34 billion in cash reserves. That strategic move is intended to enhance AMD’s ability to meet the growing computing demands of AI, where the integration of vast numbers of chips into powerful server systems is crucial.
ZT Systems, which generates about $10 billion in annual revenue, will bring approximately 1,000 engineers to AMD, allowing the company to accelerate the testing and deployment of its AI GPUs on a larger scale, particularly for major cloud providers like Microsoft. AMD’s CEO, Lisa Su, emphasised that AI systems are the company’s top strategic priority and expects the acquisition to boost GPU sales significantly. However, AMD plans to divest ZT Systems’ server manufacturing business post-acquisition, as it does not intend to compete in that segment.
The deal is expected to close in the first half of 2025, with AMD anticipating a positive impact on its financial performance by the end of that year. The following acquisition is part of AMD’s broader strategy to challenge Nvidia’s dominance in the AI hardware space, where Nvidia is projected to generate $105.9 billion from its data centre segment this year.
A recent survey by Teikoku Databank Ltd reveals that less than 20% of Japanese companies are utilising generative AI in their operations, primarily due to concerns about inadequate internal expertise. Despite the growing recognition of AI as a tool for enhancing business efficiency, many firms still need to be bold in adopting the technology.
Of the 4,705 primarily small and medium-sized enterprises surveyed, only 17.3% reported using generative AI. While 26.8% are considering its adoption, nearly half have yet to make plans to integrate the technology. A lack of skilled staff and operational know-how was cited by 54.1% of respondents as a bigger barrier, alongside concerns about the accuracy of AI-generated content and uncertainty about which tasks would benefit from AI.
Additionally, companies expressed worries about the need for internal rules to address potential issues such as legal responsibilities, copyright concerns, and the risk of information leaks. Among those already using AI, only 19.5% have established clear guidelines for its application, indicating a general lack of preparedness.
The survey found that information gathering is the most common use of generative AI, with nearly 60% of companies employing it. Other frequent uses include text summarisation and brainstorming during project planning.
Despite the challenges, 86.7% of businesses that have adopted AI reported positive outcomes. Yohei Sadaka of Teikoku Databank expects more companies to embrace AI as they become better equipped to manage the associated risks and establish more precise internal guidelines. The survey was conducted between 14 June and 5 July.
According to a Meta security report, Russia’s use of generative AI in online deception campaigns could have been more effective. Meta, the parent company of Facebook and Instagram, reported that while AI-powered tactics offer some productivity and content-generation gains for malicious actors, they have yet to advance these efforts significantly. Despite growing concerns about generative AI being used to manipulate elections, Meta has successfully disrupted such influence operations.
The report highlights that Russia remains a leading source of ‘coordinated inauthentic behaviour’ on social media, particularly since its invasion of Ukraine in 2022. These operations have primarily targeted Ukraine and its allies, with expectations that as the US election nears, Russia-backed campaigns will increasingly attack candidates who support Ukraine. Meta’s approach to detecting these campaigns focuses on account behaviour rather than content alone, as influence operations often span multiple online platforms.
Meta has observed that posts on X are sometimes used to bolster fabricated content. While Meta shares its findings with other internet companies, it notes that X has significantly reduced its content moderation efforts, making it a haven for disinformation. Researchers have also raised concerns about X, now owned by Elon Musk, being a platform for political misinformation. Musk, who supports Donald Trump, has been criticised for using his influence on the platform to spread falsehoods, including sharing an AI-generated deepfake video of Vice President Kamala Harris.
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.
California is set to vote on SB 1047, a bill designed to prevent catastrophic harm from AI systems. The bill targets large AI models—those costing over $100 million to train and using immense computing power—requiring their developers to implement strict safety protocols. These include emergency shut-off mechanisms and third-party audits. The Frontier Model Division (FMD) will oversee compliance and enforce penalties for violations.
Supporters of the bill, including State Senator Scott Wiener and prominent AI researchers, contend that preemptive regulation is essential to safeguard against potential AI disasters. They believe it’s crucial to establish regulations before serious incidents occur. The bill is expected to be approved by the Senate and is now awaiting a decision from Governor Gavin Newsom.
If passed, SB 1047 would not take effect immediately, with the FMD scheduled to be established by 2026. The bill is anticipated to face legal challenges from various stakeholders who are concerned about its implications for the tech industry.
Norway’s $1.7 trillion sovereign wealth fund, one of the world’s largest investors, is calling for improved AI governance at the board level across its portfolio companies. Carine Smith Ihenacho, the fund’s Chief Governance and Compliance Officer, highlighted the need for boards to not only understand how AI is being used but to also establish robust policies to ensure its responsible application. The fund, which holds stakes in nearly 9,000 companies, has already shared its views on AI with the boards of 60 major firms.
The call for enhanced AI competency in Norway comes as the fund has increased its focus on the technology sector, where it has significant investments in major tech companies like Microsoft and Apple. The fund’s emphasis is on ensuring that AI is used responsibly, particularly in high-impact sectors such as healthcare. Smith Ihenacho stressed that boards must be able to address key questions about their AI policies and risks, even if they don’t have a dedicated AI expert.
Despite its concerns, the fund supports the responsible use of AI, recognising its potential to drive innovation and productivity. The push for better AI governance is part of the fund’s broader strategy to maintain high standards in environmental, social, and corporate governance (ESG) across its investments.
As the AI sector continues to grow, the fund’s recommendations reflect a broader trend towards increasing accountability and transparency in the use of emerging technologies.
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.
