A coalition of Nobel laureates, artificial intelligence researchers, religious leaders and public figures has called for an international treaty to prevent Artificial Intelligence from controlling nuclear weapons, warning that decisions affecting millions of lives should never be left to autonomous systems.

The appeal comes through the Rome Declaration for an Unarmed and Disarming Peace, signed on July 16. At a time when militaries are rapidly adopting Artificial Intelligence for surveillance, intelligence and battlefield operations, the signatories say international rules have failed to keep pace with technological advances. They want governments to draw a clear line by prohibiting Artificial Intelligence from making the final decision on the use of nuclear weapons.

Concerns Over Faster Decisions

The declaration warns that Artificial Intelligence could dramatically shorten the time available for leaders to assess threats during a nuclear crisis. If computer systems analyse incoming data and recommend a response within seconds, decision-makers may have little opportunity to verify information, consult advisers or pursue diplomacy before acting.

Its authors point to historical incidents such as the Cuban Missile Crisis in 1962 and the 1983 Soviet nuclear false alarm, where human judgement and restraint prevented escalation. They argue that replacing this layer of caution with automated systems could increase the risk of unintended conflict, especially as current AI models remain vulnerable to errors, manipulated data and opaque decision-making.

Call for Global Rules

Along with keeping humans in charge of nuclear decisions, the declaration recommends independent security audits of nuclear command systems to protect them from AI-enabled cyberattacks. It also urges Artificial Intelligence developers to disclose the ethical safeguards built into their models and renews calls for international negotiations on nuclear disarmament. The declaration is not legally binding, and countries remain divided over regulating AI in military applications. Even so, its signatories hope it will build support for global rules before advances in Artificial Intelligence outstrip the international mechanisms meant to govern them.

The Karnataka AI curriculum marks a major shift in school education, making the state one of the first in India to allow students to choose Artificial Intelligence (AI) instead of a third language. From the 2026–27 academic year, students in Classes 9 and 10 across 1,642 government high schools can opt for AI as a vocational subject under the National Skills Qualifications Framework (NSQF). The move positions Karnataka at the forefront of efforts to integrate emerging technologies into mainstream school education while redefining how future-ready skills are taught.

The Karnataka AI curriculum reflects a growing push to equip students with skills needed in an economy increasingly shaped by automation and digital technologies. While several states have introduced AI in classrooms, Karnataka has taken a different approach by integrating it into the curriculum as an alternative to the third language.

Karnataka AI Curriculum Focuses on Future Skills

According to the School Education and Literacy Department, AI will be introduced in schools offering NSQF vocational courses. It will replace the existing vocational subject and serve as an alternative to the third language. Each participating school will appoint a guest AI instructor, while third-language teachers will be redeployed to schools facing vacancies.

The curriculum is expected to introduce students to AI fundamentals, computational thinking, problem-solving and the responsible use of emerging technologies. Officials say the initiative is intended to prepare students for higher education and careers in technology-driven sectors.

The move also follows Karnataka’s earlier decision to exclude third-language marks from the SSLC aggregate, signalling a gradual shift towards skill-based learning.

How Other States Are Introducing AI

The Karnataka AI curriculum stands apart from initiatives in other states, where AI has largely been added to the existing syllabus rather than replacing a language subject.

Tamil Nadu’s TN SPARK programme, for example, introduces AI, robotics, coding and digital tools to students in selected government schools. However, these subjects complement the existing curriculum instead of substituting any language requirement.

Similarly, the Ministry of Education has proposed integrating AI and computational thinking into school education through the National Curriculum Framework. The focus is on building AI literacy alongside core academic subjects.

CBSE has also expanded AI education in affiliated schools while continuing to follow the three-language formula under the National Education Policy (NEP) 2020, although the third language is not part of the Class 10 board examination.

A Shift in Education Priorities

The Karnataka AI curriculum reflects a broader debate on how schools should prepare students for a rapidly changing world.

Supporters believe early exposure to AI can improve digital literacy, encourage innovation and better prepare students for future careers. As AI increasingly influences industries ranging from healthcare to manufacturing, familiarity with the technology is becoming a valuable skill beyond the information technology sector.

However, language educators argue that multilingual education plays an important role in cognitive development, communication skills and preserving India’s linguistic diversity. Teacher associations have also expressed concerns over the redeployment of language teachers and the long-term impact on third-language learning.

Can Karnataka’s AI Curriculum Become a Model?

The success of the Karnataka AI curriculum will depend on more than policy changes. Schools will need trained teachers, adequate digital infrastructure, computer laboratories and reliable internet connectivity to deliver meaningful AI education.

The initiative also raises an important question for education policymakers across India: should emerging technologies be integrated into existing curricula, or should they replace traditional subjects to make room for future-ready skills?

As other states continue experimenting with AI education, Karnataka’s model will be closely watched. If implemented effectively, the Karnataka AI curriculum could shape how schools across the country balance technological innovation with foundational learning.

Exploring the ocean often requires a combination of ships, underwater vehicles and aerial drones. Researchers at the Massachusetts Institute of Technology and École Polytechnique Fédérale de Lausanne have developed a bird-inspired robot that could combine all three roles in a single machine. Called the Flapping-Wing Aerial-Aquatic Vehicle (FAAV), the 300-gram bird-inspired robot can fly through the air, swim underwater and transition seamlessly between the two, offering a new tool for ocean exploration. The findings, published in the journal Science, could also help scientists better understand how diving birds navigate two vastly different environments.

Learning from nature

The bird-inspired robot draws its design from diving birds such as puffins and loons, which hunt underwater without losing their ability to fly. These birds plunge beneath the surface in search of prey before launching themselves back into the air, a remarkable feat that engineers wanted to replicate.

To recreate this capability, the researchers studied the flight mechanics of several diving bird species. They found that smaller birds flap their wings roughly ten times per second while flying but reduce that frequency to about four times per second underwater. These observations became the foundation for designing the robot’s wing movements.

Replicating this behaviour was far from straightforward. Water is nearly 1,000 times denser than air, meaning a machine that performs efficiently in one environment is unlikely to function well in the other without significant adaptation.

“You have to do some adaptation to make that transition work. But there’s a solution that exists in nature,” said lead researcher Raphael Zufferey, assistant professor of mechanical engineering at MIT. “Birds like puffins can fly very fast through the air, and can dive and swim through water at speeds of 3 metres per second. They’re able to do pretty amazing things. So we knew it was possible. Just no one had tried this in a mobile robotic system.”, he said.

How the bird-inspired robot works

The bird-inspired robot consists of a waterproof central body containing a battery and electric motor, which powers a crankshaft to flap its wings. The flexible wings are coated with hydrophobic nanoparticles that repel water, while a motorised tail adjusts the robot’s pitch to help it climb into flight or dive beneath the surface.

Researchers tested three wing sizes in laboratory water tanks before conducting field trials in Switzerland’s Lake Geneva. After experimenting with different wing dimensions, flapping frequencies and tail angles, they found that medium-sized wings provided the best balance between underwater propulsion and stable flight.

During the trials, the bird-inspired robot swam underwater at speeds approaching one metre per second and flew through the air at around six metres per second. The team also discovered that pitching the robot at an angle of about 70 degrees allowed it to break through the water’s surface smoothly without its wings striking the water, enabling a successful transition into flight.

One of the study’s more surprising findings was that the bird-inspired robot did not require paddling feet to launch itself from the water. Many diving birds, including ducks and puffins, rely on their feet in addition to their wings when taking off from the water’s surface. In the robot’s case, however, carefully coordinated wing flapping and body positioning were enough to achieve the same result.

A new tool for ocean science

Beyond demonstrating an engineering achievement, researchers believe the bird-inspired robot could become a valuable tool for marine science. Instead of deploying costly research vessels, the robot could be launched from a boat or shoreline, fly to a remote study site, dive underwater to collect water samples or environmental measurements, return with the data, and repeat the mission multiple times a day.

“Our dream vision is for oceanographers, marine biologists and members of coastal communities to launch this robot from a boat, or from shore, and it would fly close to the area of interest, such as an iceberg or a port facility, or over a pod of whales. It would dive into the water to take a measurement or collect a sample, and fly back to deliver the data at a fraction of the cost of traditional methods. Then it could go back out to dive for more.” Zufferey said.

The research team is now working to improve the bird-inspired robot by enabling its wings to rotate as well as flap, while also testing its performance in rough seas and strong winds. If successful, the technology could pave the way for a new generation of hybrid aerial-aquatic robots, making ocean research faster, safer and significantly more cost-effective.