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Chinese Humanoid Robots Beat Human Records at Beijing Games

Chinese humanoid robots have surpassed long-standing human benchmarks in sprinting and jumping at the World Humanoid Robot Games in Beijing, showcasing rapid advances in robotic speed, balance and autonomous movement.

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Humanoid robot running during a demonstration of robotic movement
Humanoid robots are being tested for speed, agility and autonomous movement at international competitions. Representational image. Image credit: Pavel Danilyuk/Pexels

Chinese humanoid robots have beaten long-standing human athletic records at the second World Humanoid Robot Games in Beijing, showcasing how quickly machines are improving at running, jumping and coordinated movement. A robot completed the 100-metre sprint in 9.39 seconds on Saturday, faster than Jamaican sprinter Usain Bolt’s men’s world record of 9.58 seconds, set in 2009. Another robot recorded a 2.88-metre standing high jump, surpassing the 2.45-metre high-jump record set by Cuba’s Javier Sotomayor.

The performances are not official human athletics records. Robots compete under different physical conditions and their results are better understood as demonstrations of advances in robotics.

What are the World Humanoid Robot Games?

The World Humanoid Robot Games are an Olympic-style international competition designed specifically for humanoid robots. The event was first held in Beijing in 2025 and returned this year with a much larger field.

The five-day 2026 edition features more than 2,000 humanoid robots representing 666 teams from 16 countries. The competitions cover sports such as athletics, football, gymnastics, weightlifting, martial arts, dancing and tug-of-war.

The games are being held at Beijing’s National Speed Skating Oval, the venue known as the “Ice Ribbon” that was built for the 2022 Winter Olympics.

From running tracks to real-world tasks

The event is not limited to sporting competitions. Organisers have also introduced scenario-based challenges designed to test whether humanoid robots can perform useful tasks outside controlled sporting environments.

These include activities related to factories, hotels, homes, hospitals, emergency response and retail. Robots are expected to perform tasks such as handling objects, assisting in service environments and responding to practical situations.

This year’s 100-metre race has also been upgraded to allow fully autonomous robots, removing the need for direct human control during the event.

Speed is improving, but control remains a challenge

The record-breaking sprint also showed one of the problems humanoid robots still face: stopping.

After completing the 100 metres, some robots struggled to slow down and crashed into padded barriers. The incident highlighted the difference between achieving high speed and controlling a machine reliably at the end of a movement.

That distinction matters because the broader goal of humanoid robotics is not simply to make machines run faster than humans. Researchers and companies are trying to develop robots that can move through unpredictable environments, manipulate objects and complete tasks with minimal human intervention.

The Beijing games therefore serve as both a sporting spectacle and a test bed for a rapidly developing technology. The record-breaking performances show what humanoid robots can do under controlled conditions; the scenario-based events test whether those abilities can translate into useful work in the real world.

EP Staff is the editorial team at EdPublica, an independent media organisation focused on science, education, environment and public policy. The team produces evidence-based news, features, explainers and analysis on issues that shape society and everyday life.

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India Builds Synthetic Biology Capacity for Medicines and Industrial Production

ESTIC 2026 brings scientists, policymakers and industry leaders together in New Delhi to discuss emerging technologies, including synthetic biology, AI and advanced manufacturing.

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3D illustration of biological structures representing synthetic biology and biotechnology research.
Synthetic biology uses engineered biological systems to develop new products and processes. Representational image. Image credit: Google DeepMind/ Pexels

India is developing research facilities and supporting projects that use engineered microorganisms to produce useful chemicals and other biological products. These efforts are part of a wider push to expand biotechnology-based manufacturing, a subject discussed at a meeting hosted by the International Centre for Genetic Engineering and Biotechnology (ICGEB) in New Delhi on October 26. The meeting was held ahead of the Emerging Science, Technology and Innovation Conclave ESTIC 2026, which begins in New Delhi on October 27.

Synthetic biology allows scientists to modify living cells or organisms so they can perform specific tasks. Researchers can engineer bacteria or yeast to produce particular chemicals, for example. Systems biology studies how different parts of a living organism, including genes, proteins and cells, interact.

India has already begun building infrastructure for this work. The Department of Biotechnology’s BioE3 initiative includes a network of biofoundries, specialised facilities that use automated equipment and biological research methods to design, test and improve microorganisms for manufacturing.

A report published by Nature India in August 2025 described the publicly funded biofoundry at ICGEB in New Delhi, where researchers are working to engineer bacteria and yeast to produce substances such as fuels, cosmetics ingredients and speciality chemicals. The facility uses automation and artificial intelligence to test biological designs more quickly.

The Department of Biotechnology has also reported research projects involving engineered yeast for the production of squalene and linalool at CSIR-CFTRI in Mysuru. These substances have applications in areas such as cosmetics, food and fragrances. The work includes efforts to scale up production, although research and scale-up do not necessarily mean that a product is already being manufactured commercially.

ESTIC 2026: From Laboratory to Products

Developing a biological process is only one stage of making a useful product. Researchers must also establish whether it works reliably, whether production can be scaled up and whether the final product can be manufactured at a competitive cost.

This challenge was highlighted by Dr Rajesh S. Gokhale, Secretary of the Department of Biotechnology (DBT), at the ICGEB meeting. Referring to the discovery and large-scale production of penicillin, he stressed the importance of moving scientific discoveries towards practical applications through research, development and scale-up.

ESTIC 2026: Exterior view of the International Centre for Genetic Engineering and Biotechnology (ICGEB) building in New Delhi, with its entrance sign and landscaped gardens.
The International Centre for Genetic Engineering and Biotechnology (ICGEB), New Delhi, hosted a curtain-raiser event for ESTIC 2026, highlighting the potential of system and synthetic biology.

Prof. Gobardhan Das, Member of NITI Aayog and the chief guest, cited the development of COVID-19 vaccines as an example of fundamental biological research contributing to public health. Dr Dhananjay Kumar Tiwary, Scientist-H at the DBT and Managing Director of the Biotechnology Industry Research Assistance Council (BIRAC), discussed the potential of system and synthetic biology in healthcare, biomanufacturing and biodesign. He also highlighted the role of artificial intelligence in biological research and the opportunities offered by the BioE3 Policy.

The policy, which stands for Biotechnology for Economy, Environment and Employment, aims to strengthen biotechnology-based manufacturing and support the development of bio-based products. The research and infrastructure being developed under this effort could help expand the range of substances produced using biological processes.

ESTIC Brings Researchers and Industry Together

The ICGEB meeting preceded ESTIC 2026, scheduled for October 27–29 at Bharat Mandapam in New Delhi. Organised by the Council of Scientific and Industrial Research (CSIR), under the guidance of the Office of the Principal Scientific Adviser to the Government of India, the conclave brings together scientists, researchers, policymakers and industry representatives.

Its 12 thematic areas include system and synthetic biology, advanced manufacturing, artificial intelligence, energy technologies, semiconductors and advanced healthcare. The DBT is steering a dedicated session on system and synthetic biology.

For India, a key test will be whether investments in research facilities and engineered biological processes lead to products that can be manufactured reliably and used at scale. The biofoundry programme offers one route towards that goal, though its long-term impact will depend on research outcomes, industrial partnerships and the ability to take promising processes beyond the laboratory.

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India–Poland to Pursue Joint Research in AI, Semiconductors and Quantum Technology

India and Poland have agreed to pursue collaborative research in AI, semiconductors and quantum technologies, while identifying battery recycling, rare-earth processing and higher education as areas for closer cooperation.

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Indian and Polish national flags flying side by side against a blue sky.
India and Poland are expanding cooperation in AI research, clean energy, semiconductors and higher education. Representational image. Image credit: Aleksandra Aleshchenko/ Pexels

India and Poland have agreed to pursue collaborative research in artificial intelligence (AI), semiconductors and quantum technologies, while identifying battery recycling and rare-earth mineral refining as potential areas of cooperation. India-Poland commitments were outlined during Polish Prime Minister Donald Tusk’s official visit to India from October 21 to 23, 2026.

The joint statement also calls for stronger partnerships between universities, research institutions, startups and businesses in both countries. While the governments have identified these areas for collaboration, the statement does not announce specific research projects, dedicated funding or participating institutions.

AI, Semiconductors and Quantum Technologies

The two governments agreed to undertake collaborative research in AI, semiconductors and quantum technologies, and to encourage closer cooperation between their research institutions and innovation ecosystems. They also agreed to strengthen startup partnerships.

The statement identifies AI and digital technologies as tools for improving productivity, economic growth and public service delivery. However, it does not specify the research questions the countries intend to pursue, the institutions that will lead the work or a timeline for launching joint projects.

Space technology is another area identified for cooperation. Both sides called for stronger institutional and industry-level engagement to identify specific opportunities. No joint space mission or new space research programme was announced in the statement.

Battery Recycling and Rare-earth Processing

India and Poland identified battery recycling and rare-earth mineral refining as potential areas for cooperation in the circular economy. They also highlighted geology, mining and critical minerals, with a memorandum of understanding on the sector still under negotiation. The focus on battery recycling concerns the recovery of materials from used batteries for possible reuse. Rare-earth processing, meanwhile, is relevant to industries that depend on these materials for components used in electronics and other advanced technologies.

The joint statement does not identify the battery chemistries or minerals to be prioritised, nor does it set recycling targets or announce a joint processing facility. The two countries also called for closer cooperation in clean energy, sustainable technologies and climate-resilient development. They linked greater use of domestically produced clean energy to energy security, climate protection and industrial competitiveness.

India welcomed Poland’s announcement that it would join the Coalition for Disaster Resilient Infrastructure. It also invited Poland to join the International Solar Alliance and the Global Biofuels Alliance. These announcements concern different stages of engagement: Poland announced its intention to join the disaster-resilience coalition, while membership of the two energy alliances was an invitation from India.

Higher Education and Academic Exchange

The joint statement calls for deeper partnerships between Indian and Polish higher education institutions, including student and faculty exchanges and collaborative research. It also notes Poland’s longstanding academic interest in Indology and Sanskrit, the Indian Council for Cultural Relations Chair of Indian Studies at Jagiellonian University in Kraków, and the presence of Polish-language teachers at Indian universities.

An agreement on cooperation in culture, science and higher education is expected to be concluded soon. The statement does not provide details of its proposed provisions or identify universities that will participate in new exchange programmes.

The emphasis on academic partnerships accompanies the proposed research collaboration in AI, semiconductors and quantum technologies. Whether these tracks will be linked through joint university projects or researcher exchanges remains unspecified.

India-Poland What Remains Open

The joint statement sets out different levels of commitment. Collaborative research in AI, semiconductors and quantum technologies is an agreed objective. Battery recycling and rare-earth refining are identified as opportunities, while the memorandum covering geology, mining and critical minerals remains under negotiation. The agreement on culture, science and higher education is also yet to be concluded.

These distinctions matter when assessing what the visit has delivered for science and technology. The governments have identified areas for cooperation, but the statement does not establish project budgets, implementation schedules or measurable research targets.

The immediate outcome is a stated framework for closer engagement across advanced technology, energy and higher education. Further official agreements and project announcements will be needed to establish the scale and practical direction of that cooperation.

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AI Models Could Soon Spread Across Smart Devices, Raising Cybersecurity Fears

Anthropic’s experiments highlight how AI self-replication could create new cybersecurity risks, allowing malicious systems to spread across internet-connected devices.

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Smartphone displaying a VPN connection, illustrating digital security concerns surrounding AI-powered cyberattacks and connected devices.
A VPN can encrypt internet traffic, but protecting connected devices against emerging AI-driven cyber threats also requires secure software and regular updates. Representational image. Image credit: Dan Nelson/ Pexels

Artificial intelligence (AI) models could soon spread from one internet-connected device to another, potentially creating networks of compromised devices that carry out cyberattacks with limited human involvement. The warning from AI company Anthropic highlights a possible new challenge for cybersecurity as AI systems become capable of performing increasingly complex tasks.

In experiments, Anthropic found that AI models with 30 billion parameters or fewer could already perform many of the individual tasks needed to copy and spread themselves. However, the models struggled to complete the entire process reliably. The findings point to a potential threat, although they do not establish that fully self-replicating AI networks are already operating in the real world.

How AI could spread through smart devices

Many everyday devices, including smart televisions, security cameras and household appliances, connect to the internet. Internet of Things (IoT) devices present a particular concern because many connect directly to networks while receiving limited security attention from users. Weak passwords, outdated software and unpatched vulnerabilities can leave devices exposed to remote exploitation.

Laptop, smartphones, tablet and other internet-connected electronic devices arranged on a desk, illustrating the growing network of devices potentially exposed to AI-driven cybersecurity threats.
As more devices connect to the internet, security vulnerabilities in everyday technology could provide entry points for AI-assisted cyberattacks and the spread of malicious software. Representational iamge. Image credit: Pixabay

Once compromised, a device can become part of a botnet — a network of devices secretly controlled by attackers. Such networks have long been used to spread harmful software, send spam messages and overwhelm websites with large volumes of unwanted traffic.

AI could make these attacks easier to carry out. A malicious AI system might help identify vulnerable devices, exploit security weaknesses and use compromised devices to reach others. Anthropic’s experiments examined whether an AI agent could combine the computing power of inexpensive, internet-connected devices to run other AI models. If such a process becomes reliable, attackers could potentially use large numbers of ordinary devices to support their operations.

Cybersecurity: Why these networks are difficult to stop

A major concern is that a botnet can operate across thousands of devices in different locations. Shutting down one infected device may not stop the others from continuing to operate.

For example, if a security camera is compromised, its owner may not immediately notice anything unusual. The camera could continue recording while its computing resources are used for activities the owner never authorised. If similar weaknesses exist in other devices, attackers could build a much larger network.

AI-assisted attacks could become harder to manage if systems learn to carry out several steps automatically, reducing the need for attackers to control every action themselves. However, Anthropic’s findings do not show that AI can yet carry out this entire process consistently without assistance.

Securing AI and connected devices

The warning raises questions about how AI developers can prevent their models from being used to exploit computer systems. It also draws attention to the security of the devices people bring into their homes.

Manufacturers can reduce risks by fixing software vulnerabilities, providing regular security updates and strengthening password and access protections. Users can help by changing default passwords, installing updates and replacing devices that no longer receive security support.

AI developers, meanwhile, need to test whether their systems can be misused to automate cyberattacks. The immediate concern is not that every smart device will become a threat. It is that weaknesses already present in internet-connected devices could become easier to exploit as AI gains the ability to perform complex tasks with less human direction.

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