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Chinese engineers have developed a bionic robot fish equipped with sensors and artificial intelligence, capable of swimming like a real animal and operating autonomously. This technology represents an advance in the race for underwater dominance and could transform ocean monitoring, exploration, and surveillance.


Man holding large fish inside a blue aquarium tank in a well-lit room. The fish has orange scales and the man is focused on the task.
Credit: CPG

On May 14, 2025, professors and students at Wuhan University in Wuhan, China, unveiled a 53-centimetre biomimetic underwater robot. This device was developed for projects protecting the Yangtze River, according to the Wuhan Science and Technology Department.

The machine mimics the shape and swimming motion of a real fish, using body joints to reproduce natural movements. It also features obstacle avoidance sensors and AI learning capabilities. Unlike traditional propeller-driven underwater drones, this new generation of robot fish uses fin-inspired propulsion, which distinguishes it by reducing noise and improving displacement efficiency.


This new generation of robot fish uses fin-inspired propulsion, which can reduce noise, improve displacement efficiency, and lessen environmental impact during aquatic monitoring operations. An article published in 2025 in the scientific journal The Innovation describes these robots as autonomous systems designed with biomimetic principles.


These robots are capable of swimming and performing specific tasks in water, offering advantages such as manoeuvrability, low noise, and greater operational discretion. The primary innovation is the application of biomimetics, an engineering field that replicates solutions from nature.


Adopting undulating movements, similar to those of real fish, offers several technical advantages over conventional mechanical systems. These include lower energy consumption, greater hydrodynamic efficiency, significant noise reduction, and enhanced manoeuvrability in complex environments.


The robots are equipped with advanced sensor systems and artificial intelligence. These systems enable obstacle detection, autonomous navigation, environmental data collection, and real-time environmental adaptation.


Integration with learning algorithms allows the robot to adjust its behaviour based on water conditions, currents, and the presence of objects. This transforms the robot into an intelligent platform capable of operating with minimal human intervention.


One consolidated application of this technology is in environmental monitoring. Robot fish can be used for water quality analysis, pollutant detection, aquatic ecosystem monitoring, data collection in sensitive areas, and much more.


Moving similarly to natural organisms, these robots cause less environmental impact and can approach areas challenging for conventional drones. This characteristic makes the technology particularly useful for ecological studies and environmental preservation.


Beyond scientific applications, the silent, natural behaviour of these robots draws attention for its strategic potential. The absence of propellers and fish-like movement make these devices less detectable in underwater environments.


This opens possibilities for inspecting submerged structures, monitoring maritime areas, and collecting data in sensitive environments. While direct military use is not always explicitly confirmed, the technology suggests strong dual-use potential.


The same system that monitors a river can, in another context, be adapted for strategic operations. The development of robot fish is part of China’s broader investment in biomimetic underwater projects.


These include robots inspired by jellyfish and other marine organisms. Such projects are part of a larger movement investing in autonomous technologies, focusing on underwater robotics, artificial intelligence, and unmanned systems.


The goal is to expand technological presence in environments where human access is limited or unfeasible. While China is advancing rapidly, the development of underwater robotics is a global trend, with other countries also investing in autonomous underwater vehicles, maritime drones, and ocean surveillance systems.


The distinction with biomimetic robots lies in their approach, prioritising efficiency, discretion, and environmental adaptation over mechanical force. This could represent a paradigm shift in how underwater operations are conducted.


Despite advances, robot fish still face technical challenges. Key limitations include limited energy autonomy, restricted payload capacity, and maintenance complexity.


Operating in deep marine environments requires additional advancements in resistance and control. The technology is currently at an advanced research stage but is still maturing for large-scale applications.


The trend suggests that robots like these will evolve into more complex systems, potentially operating in groups or integrated into larger monitoring networks. Combined with other technologies, they can form systems capable of mapping underwater environments in real time.


These integrated systems could also operate continuously for long periods and interact with other autonomous platforms. This type of integration significantly expands the reach and utility of the technology.


With robots capable of swimming like fish, operating autonomously, and collecting data silently, biomimetic underwater technology is beginning to redefine engineering limits and ocean exploration.

  • Chinese engineers developed a bionic robot fish with AI and sensors.

  • The 53-centimetre robot, unveiled by Wuhan University, mimics real fish for quiet, efficient underwater movement.

  • Its capabilities include obstacle avoidance, autonomous navigation, and environmental data collection.


Source: CPG

Meta Platforms shares fell more than 6% in extended trading after the company increased its annual capital spending forecast, signalling more investment in artificial intelligence infrastructure.


Blue infinity loop with floating social media icons, including Facebook and WhatsApp, on a soft blue background.
Credit: UNSPLASH

The Facebook and Instagram parent projected 2026 capital expenditure between USD 125 billion and USD 145 billion, an increase from its prior forecast of USD 115 billion to USD 135 billion.


The company also warned that legal and regulatory blowback in the European Union and the U.S. "could significantly impact our business and financial results," following years of criticism about children's safety on social media.


Meta stated, "We continue to see scrutiny on youth-related issues and have additional trials scheduled for this year in the U.S., which may ultimately result in a material loss."


The organisation faces a rising number of teen social media bans globally, as well as thousands of court cases by individuals, municipalities, states, and school districts. These lawsuits accuse Meta of designing addictive platforms harmful to children.


Several high-stakes court cases are due in the coming months, including the second part of a landmark New Mexico trial and a California case. The California case is expected to test claims central to nearly 2,000 similar lawsuits filed by U.S. school districts.


Meta reported its first-ever quarterly decline in Daily Active People (DAP) since it started using that metric to measure user numbers across its social media platforms. The company attributed this decline to internet disruptions in Iran and restrictions on WhatsApp access in Russia.


Daily active people grew 4% year-over-year in the first quarter to 3.56 billion.


Analyst Matt Britzman of Hargreaves Lansdown said Meta's higher capital spending spooked investors. He believes this is likely overblown, reflecting more expensive memory prices rather than changes to Meta's investment plan.


The results come weeks after Reuters first reported Meta's plans for sweeping layoffs, as Chief Executive Officer Mark Zuckerberg attempts to aggressively integrate AI into the company's workflows and reshape its workforce around the technology.


The company is planning further layoffs in the second half of the year, sources have told Reuters. Meta is also installing new tracking software on U.S.-based employees’ computers to capture mouse movements, clicks, and keystrokes to train its AI models.


This forms part of a broad initiative to build AI agents that can perform work tasks autonomously, Reuters reported last week.


Chief Financial Officer Susan Li confirmed the May layoffs on a conference call after reporting the financial results.


Li stated, "We don't really know what the optimal size of a company will be in the future. I think there's a lot of change right now, with AI capabilities advancing rapidly."


On the same call, Zuckerberg described tiny teams using AI to make products that previously would have taken dozens of people months to finish.


He said he wanted to build "the next evolution of our company around these people." This means investing in top-tier infrastructure, increasing rewards for heavy hitters, and streamlining teams so they are not bigger than they need to be.


Meta stated its workforce at the end of March was 77,986 people, up 1% from the same period last year but down from 78,865 at the end of December.


Reflecting anticipated savings, Meta kept its forecast for total 2026 expenses unchanged despite the projected rise in capital expenditure this year.


The company reported first-quarter revenue of USD 56.31 billion, beating the LSEG-compiled analysts' average estimate of USD 55.45 billion.


It expects second-quarter revenue of USD 58 billion to USD 61 billion, largely in line with estimates of USD 59.5 billion.


Managing director Gil Luria of D.A. Davidson noted that Meta’s results met expectations but "failed to impress investors, especially in the context of much stronger results from Google."


Luria added that investors were also concerned Meta's spending plans rose without a corresponding reduction in operating expenses.

  • Meta increased its annual capital spending forecast to between USD 125 billion and USD 145 billion for 2026.

  • Shares fell more than 6% following concerns about AI infrastructure investment and legal scrutiny.

  • The company faces legal and regulatory blowback in the EU and U.S. over youth safety and addictive platforms.


Source: REUTERS

Demand for Huawei’s Ascend 950 artificial intelligence chips has surged following the release of DeepSeek’s V4 AI model, which runs on the Shenzhen-based tech firm’s semiconductors. Major Chinese internet companies are actively seeking to secure new orders for these chips.


3D Huawei logo with red petals on a white square, set against a vibrant red background. Shadows add depth; bold and modern design.
Credit: UNSPLASH

China’s largest internet firms, including ByteDance, Tencent, and Alibaba, are contacting Huawei about additional chip orders. Companies specialising in cloud computing and graphics processing unit rental services are also placing orders for the chips.


The 950PR chip significantly outperforms Nvidia’s H20 chip, which was the most powerful chip Nvidia was permitted to sell in China until its import was blocked. However, the 950PR still trails the American firm’s H200, a more advanced processor that is currently subject to regulatory uncertainty.


Despite obtaining export approvals from both the U.S. and China, the H200 has yet to be shipped to China. This delay is due to ongoing disagreements between Beijing and Washington regarding the conditions governing its sale, providing an opportunity for Huawei to sell its semiconductors.


The 950PR represents a significant breakthrough for Huawei after years of struggling to win large orders from China’s technology sector. Customer testing of the chip was successful, with firms including ByteDance and Alibaba planning orders after samples were distributed.


The heightened demand for Huawei’s chips underscores how the DeepSeek V4 release has boosted the need for domestic Chinese AI hardware. U.S. export controls continue to restrict access to Nvidia’s most advanced processors, further affirming the performance of Huawei’s chips.


DeepSeek’s decision to optimise its V4 specifically for Huawei’s chips marks a strategic shift away from American semiconductor dependence. This move aligns with Beijing’s priority of promoting China’s homegrown AI technology in pursuit of technological supremacy.


Huawei announced that its Ascend supernode infrastructure, built on the Ascend 950 series chips, fully supports DeepSeek V4 models. The entire Ascend SuperNode product line has been adapted for V4 inference, the process of using a trained AI model to answer queries and execute tasks.


Among Chinese chipmakers, Huawei’s Ascend 950 series, specifically the 950PR variant, is the only domestic chip to support a technique that processes AI calculations in a compressed numerical format. This allows it to handle more computations per second at a lower cost.


Alibaba Cloud’s Bailian platform made DeepSeek V4 available on the same day it was released, offering both the V4-Pro and V4-Flash variants at prices matching DeepSeek’s official rates. Tencent Cloud launched V4 preview services on its TokenHub platform concurrently.


Tencent deployed the model on both domestic nodes and its Singapore international gateway to serve global users. The rapid deployment by major cloud platforms means millions of users and developers can now access V4.


This access sharply increases the volume of AI queries that need to be processed, and with it, the demand for the underlying chips. DeepSeek is offering developers a 75% discount on its new model until May 5.


DeepSeek stated that V4-Pro pricing could decline significantly in the second half of 2026 once Huawei’s Ascend 950 supernodes ship at scale. However, the company acknowledged that supply constraints would persist until production increases.


These constraints reflect the tight supply of high-end homemade AI chips. Output of the 950 is expected to fall short of demand due to U.S. export restrictions on advanced chipmaking tools.


These restrictions prevent China from acquiring cutting-edge manufacturing equipment. Huawei planned to ship approximately 750,000 units of the 950PR this year, with mass production beginning in April.


Full-scale shipments are anticipated to start in the second half of 2026. DeepSeek’s V4 includes two versions: V4-Pro with 1.6 trillion total parameters and V4-Flash with 284 billion parameters. Both models support a one-million-token context window.


The models are available as open-source releases under the permissive MIT open-source licence. This licence allows companies to freely use, modify, and commercialise the models.

  • DeepSeek’s V4 AI model release has led to a significant increase in demand for Huawei’s Ascend 950 AI chips among major Chinese internet and cloud computing firms.

  • Huawei’s 950PR chip, a variant of the Ascend 950 series, outperforms Nvidia’s H20 and is the only domestic chip supporting compressed numerical format for AI calculations.

  • U.S. export controls on advanced Nvidia chips and chipmaking tools contribute to the demand for Huawei’s products and are expected to cause supply constraints for the 950.


Source: REUTERS

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