China has introduced a groundbreaking addition to its law enforcement toolkit – the Rotunbot RT-G, a spherical robot designed to aid police in high-speed chases and challenging terrains. Developed by Logon Technology, this 276-pound robotic marvel can travel up to 22 mph on land and water, navigate mud and rivers, and even withstand drops from ledges. Its rapid acceleration and amphibious capabilities make it a unique asset for pursuit scenarios.
Equipped with advanced technology, the RT-G boasts GPS for precise navigation, cameras, ultrasonic sensors, and systems for tracking and avoiding obstacles. Gyroscopic self-stabilisation ensures smooth operation, while a suite of non-lethal tools—including tear gas dispensers, net shooters, and acoustic crowd dispersal devices—enables it to handle diverse law enforcement tasks humanely and effectively.
The RT-G is already used in Wenzhou, Zhejiang province of China, where it assists police in commercial zones. While its real-world performance shows promise, limitations such as instability during turns and difficulty navigating stairs reveal areas for improvement. Despite these challenges, the Rotunbot RT-G represents a significant leap in robotic policing technology, blending innovation with practicality.
Anthropic, the company behind the Claude AI model, has agreed to resolve aspects of a copyright infringement lawsuit filed by major music publishers. The lawsuit, initiated in October 2023 by Universal Music Group, ABKCO, Concord Music Group, and others, alleged that Anthropic’s AI system unlawfully distributed lyrics from over 500 copyrighted songs, including tracks by Beyoncé and Maroon 5.
The publishers argued that Anthropic improperly used data from licensed platforms to train its models without permission. Under the settlement approved by US District Judge Eumi Lee, Anthropic will maintain and extend its guardrails designed to prevent copyright violations in existing and future AI models.
The company also agreed to collaborate with music publishers to address potential infringements and resolve disputes through court intervention if necessary. Anthropic reiterated its commitment to fair use principles and emphasised that its AI is not intended for copyright infringement.
Despite the agreement, the legal battle isn’t over. The music publishers have requested a preliminary injunction to prevent Anthropic from using their lyrics in future model training. A court decision on this request is expected in the coming months, keeping the spotlight on how copyright law applies to generative AI.
Privacy and regulatory concerns have long hindered AI’s reliance on data, especially in sensitive fields like healthcare and life sciences. Apheris, a German startup co-founded by Robin Röhm, aims to solve this problem using federated computing—a decentralised approach that trains AI models without moving sensitive data.
The company’s approach is gaining traction among prominent clients like Roche and hospitals, and its technology is already being used in collaborative drug discovery efforts by pharmaceutical giants such as Johnson & Johnson and Sanofi. Apheris recently secured $8.25 million in Series A funding led by OTB Ventures and eCAPITAL, bringing its total funding to $20.8 million.
That follows a pivotal shift in 2023 to focus on the needs of data owners in the pharmaceutical and life sciences sectors. The pivot has paid off, quadrupling the company’s revenue since launching its redefined product, the Apheris Compute Gateway, which securely bridges local data and AI models.
With its new funding, Apheris plans to expand its team and refine its AI-driven solutions for complex challenges like protein prediction. By prioritising data security and privacy, the company aims to unlock previously inaccessible data for innovation, addressing a core barrier to AI’s transformative potential in life sciences.
Russian President Vladimir Putin has directed the government and Sberbank, the nation’s largest bank, to deepen collaboration with China in the development of AI. The announcement, published on the Kremlin’s website, comes three weeks after Putin unveiled plans for Russia to work alongside BRICS nations and other partners to advance AI technologies. Sberbank, which leads Russia’s AI initiatives, has been tasked with fostering technological cooperation with China.
That move reflects Russia’s efforts to circumvent Western sanctions that have restricted its access to key technologies, including microchips essential for AI development. The sanctions have caused major global chip manufacturers to halt exports to Russia, creating significant hurdles for its AI ambitions.
Sberbank CEO German Gref admitted that replacing GPUs, the microchips vital to AI, remains a critical challenge for the country. By partnering with non-Western allies, Russia aims to counterbalance US dominance in the rapidly evolving AI sector, which Putin has described as a cornerstone of the 21st century.
As part of this strategy, a newly proposed AI Alliance Network will unite experts from BRICS nations and other interested states to bolster innovation and investment. However, Russia still lags behind its competitors, ranking 31st in the Global AI Index, far below leaders like the US, China, and even BRICS partners India and Brazil.
The Chinese technology powerhouse, Alibaba, has announced substantial price cuts of up to 85% for its large language models (LLMs), including the visual language model Qwen-VL. Designed to process and interpret both text and images, Qwen-VL is tailored for enterprise use, marking a departure from consumer-facing AI tools like ChatGPT. These discounts signal a competitive push to expand AI accessibility in the enterprise sector.
The move comes amid a broader race among Chinese tech giants to dominate the AI landscape. Companies like Tencent, Baidu, Huawei, and ByteDance have launched their own LLMs, aiming to capitalise on the growing demand for advanced AI solutions. Alibaba’s decision to focus on enterprise customers has already shown results, with its Qwen models adopted by over 90,000 businesses since May.
Analysts predict these price cuts could reshape global AI accessibility, enabling smaller firms and startups to leverage cutting-edge technology. Lower costs may allow traditional industries to modernise operations, while venture capital flows into supporting technologies are expected to further fuel innovation.
The global AI race is poised to accelerate into 2025, with Chinese companies playing a central role in advancing machine reasoning and practical applications. The intensifying competition could define the future of AI development, offering more use cases across diverse industries worldwide.
As 2024 concludes, China’s AI sector is making global waves with groundbreaking innovations. DeepSeek, a Hangzhou-based startup, unveiled its V3 large-scale language model, which rivals leading proprietary models like GPT-4o. Remarkably, the V3 was developed in just two months with minimal resources, showcasing China’s ability to deliver cutting-edge AI solutions at significantly lower costs. Experts have praised the model’s efficiency and ingenuity, highlighting its potential to disrupt the industry.
China’s AI ambitions extend beyond language models. In November, ShengShu Technology introduced Vidu-1.5, an image-to-video tool that generates dynamic visuals in record time. The tool gained recognition for its creative applications, such as crafting an ink-style promotional video for Sony’s ‘Venom: The Last Dance.’ The innovation has drastically reduced production times and costs in the film industry, inspiring artists with its blend of tradition and technology.
AI-driven creativity also thrives in literature and virtual interaction. Researchers at East China Normal University used AI to author fantasy novels, completing projects in weeks that would take human authors a year. Meanwhile, apps like Xingye are redefining digital companionship, integrating AI chatbots with user-generated content to create unique community experiences. These advancements have resonated globally, with Chinese AI apps gaining popularity in markets like the United States.
E-commerce sector in China is leveraging AI to transform operations and consumer experiences. Entrepreneurs like Lyu Hongwei have used AI to identify trends, tailor product offerings, and accelerate growth. Analysts predict that AI-driven tools will continue to enhance business efficiency, paving the way for a more personalised and streamlined shopping experience.
India solidified its global leadership in 2024, making remarkable strides in pharmaceuticals, biotechnology, defence, nuclear energy, and space exploration. Initiatives like the Production Linked Incentive (PLI) scheme and breakthroughs such as the indigenous antibiotic Nafithromycin propelled the pharmaceutical sector’s exports to USD 28 billion. Biotechnology expanded 13-fold over the past decade, achieving a valuation of USD 130 billion, with ambitions to hit USD 300 billion by 2030.
The nation’s defence sector reached unprecedented levels of self-reliance, recording indigenous production worth 15.24 billion USD and a 30-fold rise in exports. Achievements like the Agni-5 missile test and the deployment of advanced ballistic missile defence systems highlighted India’s strategic capabilities. In nuclear energy, capacity nearly doubled to 8,180 MW, with a roadmap to triple this by 2032 through projects like Bharat Small Reactors.
India’s space programme achieved significant milestones, including the approval of the Venus Orbiter Mission and Chandrayaan-4, as well as advancements in private sector contributions. The foundation of a second spaceport and the celebration of National Space Day underscored the sector’s growing prominence. Additionally, the solar mission Aditya-L1 made groundbreaking contributions to space weather predictions.
Infrastructure and emerging technologies further reinforced India’s position on the global stage. Developments such as the completion of a Hyperloop test track and the GNSS-enabled tolling system showcased futuristic planning. Quantum communication, AI, and blockchain innovations, including the Vishvasya platform, demonstrated India’s commitment to leading the next technological revolution.
Prominent figures in technology are heavily investing in nuclear energy, viewing it as crucial for future innovation. OpenAI’s Sam Altman and Microsoft co-founder Bill Gates are spearheading initiatives in advanced nuclear technology, with Altman chairing Oklo, a company developing sustainable nuclear reactors.
Data centres, essential for AI and cloud technologies, have seen electricity demands surge by 50% since 2020, now accounting for 4% of US energy use. Projections indicate this figure could rise to 9% by 2030, emphasising the need for scalable, carbon-free energy solutions. Nuclear power offers a consistent energy supply, unlike solar or wind, making it an attractive choice.
Microsoft has committed to reviving the Three Mile Island reactor by 2028, aiming to meet the energy needs of its growing AI operations. Experts, however, caution that tech-driven nuclear investments may prioritise corporate demands over broader public benefits.
Oklo and similar ventures highlight the increasing convergence of technology and energy, as industry leaders strive to support AI advancements sustainably. The debate continues on whether these moves truly serve societal needs or primarily benefit the tech sector.
AI is revolutionising the legal field, offering solutions to improve fairness and reduce costs in the justice system. Tools powered by AI are being used to streamline tasks like analysing evidence, drafting contracts, and preparing cases. Organisations like the Westway Trust in London are adopting AI to assist clients with complex disputes, such as benefits appeals and housing issues. These tools save hours of work, enabling paralegals to focus on providing better support.
The technology has sparked excitement and debate among legal professionals. AI models are being developed to help barristers identify inconsistencies in real-time court transcripts and assist judges with evidence analysis. Advocates argue that AI could make justice more accessible, while reducing the burden on legal practitioners and cutting costs for clients. However, concerns about accuracy and bias persist, with experts emphasising the importance of human oversight.
Sir Geoffrey Vos, Master of the Rolls, underscores the need for AI to complement, not replace, human judges. Guidelines stress transparency in AI use and the responsibility of lawyers to verify outputs. While tools like ChatGPT can provide general advice, professionals caution against relying on non-specialised AI for legal matters. Experts believe that AI will play a crucial role in addressing the fairness gap in the justice system without compromising the rule of law.
Nvidia has completed its $700 million acquisition of Israeli AI software company Run:ai, following unconditional approval by the European Commission. The deal, initially announced in April, underwent antitrust scrutiny to evaluate potential market dominance in GPUs, critical for AI applications. Regulators concluded Run:ai’s minimal current revenues posed no competition concerns.
Established in 2018, Run:ai offers workload management and orchestration software tailored for AI infrastructure. Its platform supports enterprise customers in optimising compute resources across cloud, edge, and on-premises environments. With a focus on managing large-scale GPU clusters, Run:ai is instrumental in deploying AI workloads like generative AI and search engines.
Now integrated into Nvidia, Run:ai aims to expand its offerings and make its software open-source, broadening its compatibility beyond Nvidia GPUs. The move aligns with Nvidia’s broader strategy to enhance its robotics portfolio and strengthen its AI ecosystem.
Nvidia plans to continue its advancements in robotics, targeting the release of its next-generation Jetson Thor computer for humanoid robots by early 2025.
