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After a pair of Islamist bombings rocked the south-central Indian city of Hyderabad in 2013, officials rushed to install 5,000 CCTV cameras to bolster security. Now there are nearly 700,000 in and around the metropolis.

The most striking symbol of the city’s rise as a surveillance hotspot is the gleaming new Command and Control Center in the posh Banjara Hills neighbourhood. The 20-story tower replaces a campus where swarms of officers already had access to 24-hour, real-time CCTV and cell phone tower data that geolocates reported crimes. The technology triggers any available camera in the area, pops up a mugshot database of criminals and can pair images with facial recognition software to scan CCTV footage for known criminals in the vicinity.

The Associated Press was given rare access to the operations earlier this year as part of an investigation into the proliferation of artificial intelligence tools used by law enforcement around the world.

Police Commissioner C V Anand said the new command centre, inaugurated in August, encourages using technologies across government departments, not just police. It cost $75 million (roughly Rs. 620 crore), according to Mahender Reddy, director general of the Telangana State Police.

Facial recognition and artificial intelligence have exploded in India in recent years, becoming key law enforcement tools for monitoring big gatherings.

Police aren’t just using technology to solve murders or catch armed robbers. Hyderabad was among the first local police forces in India to use a mobile application to dole out traffic fines and take pictures of people flaunting mask mandates. Officers also can use facial recognition software to scan pictures against a criminal database. Police officers have access to an app, called TSCOP, on their smartphones and tablets that includes facial recognition scanning capabilities. The app also connects almost all police officers in the city to a host of government and emergency services.

Anand said photos of traffic violators and mask-mandate offenders are kept only long enough to be sure they aren’t needed in court and are then expunged. He expressed surprise that any law-abiding citizen would object.

“If we need to control crime, we need to have surveillance,” he said.

But questions linger over the accuracy and a lawsuit has been filed challenging its legality. In January, a Hyderabad official scanned a female reporter’s face to show how the facial recognition app worked. Within seconds, it returned five potential matches to criminals in the statewide database. Three were men.

Hyderabad has spent hundreds of millions of dollars on patrol vehicles, CCTV cameras, facial recognition and geo-tracking applications and several hundred facial recognition cameras, among other technologies, Anand said. The investment has helped the state attract more private and foreign investment, he said, including Apple’s development centre, inaugurated in 2016; and a major Microsoft data centre announced in March.

“When these companies decide to invest in a city, they first look at the law-and-order situation,” Anand said.

He credited technology for a rapid decrease in crime. Mugging for jewellery, for example, plunged from 1,033 incidents per year to less than 50 a year after cameras and other technologies were deployed, he said.

Hyderabad’s trajectory is in line with the nation’s. The country’s National Crime Records Bureau is seeking to build what could be among the world’s largest facial recognition systems.

Building steadily on previous government efforts, Prime Minister Narendra Modi and his Bharatiya Janata Party (BJP) have seized on the rise in surveillance technology since coming to power in 2014. His flagship Digital India campaign aims to overhaul the country’s digital infrastructure to govern using information technology.

The government has promoted smart policing through drones, AI-enabled CCTV cameras and facial recognition. It’s a blueprint that has garnered support across the political spectrum and seeped into states across India, said Apar Gupta, executive director of the New Delhi-based Internet Freedom Foundation.

“There is a lot of social and civic support for it too – people don’t always fully understand,” Gupta said. “They see technology and think this is the answer.”


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Astronomers Discover 3I/ATLAS, Largest Interstellar Comet Yet Detected

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Astronomers Discover 3I/ATLAS, Largest Interstellar Comet Yet Detected

Astronomers have discovered the third interstellar comet to pass through our solar system. Named 3I/ATLAS (initially A11pl3Z), it was first spotted July 1 by the ATLAS telescope in Chile and confirmed the same day. Pre-discovery images show it in the sky as far back as mid-June. The object is racing toward the inner system at roughly 150,000 miles per hour on a near-straight trajectory, too fast for the Sun to capture. Estimates suggest its nucleus may be 10–20 km across. Now inside Jupiter’s orbit, 3I/ATLAS will swing closest to the Sun in October and should remain observable into late 2025.

Discovery and Classification

According to NASA, in early July the ATLAS survey telescope in Chile spotted a faint moving object first called A11pl3Z, and the IAU’s Minor Planet Center confirmed the next day that it was an interstellar visitor. The object was officially named 3I/ATLAS and noted as likely the largest interstellar body yet detected. At first it appeared to be an ordinary near-Earth asteroid, but precise orbit measurements showed it speeding at ~150,000 mph – far too fast for the Sun to capture. Astronomers estimate 3I/ATLAS spans roughly 10–20 km across. Signs of cometary activity – a faint coma and short tail – have emerged, earning it the additional comet designation C/2025 N1 (ATLAS).

Studying a Pristine Comet

3I/ATLAS was spotted well before its closest approach, giving astronomers time to prepare detailed observations. It will pass within about 1.4 AU of the Sun in late October. Importantly, researchers can study it while it is still a pristine frozen relic before solar heating alters it. As Pamela Gay notes, discovering the object on its inbound leg leaves “ample time” to analyze its trajectory. Astronomers are now racing to obtain spectra and images – as Chris Lintott warns, the comet will be “baked” by sunlight as it nears perihelion.

Determining its composition and activity is considered “a rare chance” to learn how planets form in other star systems. With new facilities like the Vera C. Rubin Observatory coming online, researchers expect more such visitors in the years ahead. 3I/ATLAS offers a rare chance to study material from another star system.

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NASA’s New Horizons Proves Deep-Space Navigation via Stellar Parallax



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NASA’s New Horizons Proves Deep-Space Navigation via Stellar Parallax

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NASA's New Horizons Proves Deep-Space Navigation via Stellar Parallax

NASA’s New Horizons spacecraft carried out an unprecedented deep-space star navigation test while 438 million miles from Earth. Using its long-range camera in April 2020, it captured images of Proxima Centauri and Wolf 359, which appeared slightly shifted in the sky compared to Earth’s view – a striking demonstration of stellar parallax. It was the first-ever demonstration of deep-space stellar navigation. By comparing these images to Earth-based observations and a 3D star chart, scientists calculated New Horizons’ position to within about 4.1 million miles, only about 26 inches across the United States.

Stellar Parallax Test

According to the paper describing the results, accepted for publication in The Astronomical Journal, New Horizons’ camera imaged Proxima Centauri (4.2 light-years away) and Wolf 359 (7.86 light-years) on April 23, 2020. From the spacecraft’s distant vantage point, the two stars appear in different positions than seen from Earth – the essence of stellar parallax. By comparing those images with Earth-based data and a three-dimensional map of nearby stars, the team worked out the probe’s location to within about 4.1 million miles.

As lead author Tod Lauer explained, “Taking simultaneous Earth/Spacecraft images we hoped would make the concept of stellar parallaxes instantly and vividly clear”. He added, “It’s one thing to know something, but another to say ‘Hey, look! This really works!’”.

New Horizons and Future Missions

New Horizons, the fifth spacecraft to leave Earth and reach interstellar space, flew past Pluto and its moon Charon in 2015, sending home the first close-up images of those distant icy worlds. Now on an extended mission, the probe is studying the heliosphere.

New Horizons’ principal investigator Alan Stern called the parallax test “a pioneering interstellar navigation demonstration” that shows a spacecraft can use onboard cameras “to find its way among the stars”, in a statement. He also noted it “could be highly useful for future deep space missions in the far reaches of the Solar System and in interstellar space”

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AI Designs Ocean Gliders Inspired by Sea Creatures to Boost Underwater Research Efficiency

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AI Designs Ocean Gliders Inspired by Sea Creatures to Boost Underwater Research Efficiency

Marine animals like fish and seals have long inspired ocean engineers due to their fluid, energy-efficient movements. Now, researchers are turning to these sea animals to create a new class of underwater gliders that requires very little energy, according to a team led by researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and the University of Wisconsin-Madison. They used artificial intelligence to design forms that slide through the water with less resistance, making long-term ocean exploration more efficient. These gliders, fabricated via 3D printing, promise better data collection on currents, salt levels, and climate impacts.

AI-Powered 3D Designs Create Energy-Efficient Underwater Gliders Inspired by Marine Life Forms

As per a study published on the arXiv preprint server, the team used machine learning to create and simulate numerous novel 3D glider shapes. By comparing traditional models—like submarines and sharks—with digitally altered versions, their algorithm learnt how different designs behaved at various “angles-of-attack.” A neural network then evaluated the lift-to-drag ratio of each shape, identifying those most likely to glide efficiently through water. These shapes were then fabricated using lightweight materials that minimised energy use.

In tests, two AI-generated prototypes—one shaped like a two-winged plane and the other like a four-finned flatfish—were built and tested both in wind tunnels and underwater. Key hardware was integrated with the gliders, including buoyancy control by a pump and a mass shifter to move the angle during displacements. The new gliders, with better shapes and lift-to-drag ratios, could travel farther on less power than traditional torpedo-shaped types.

The team added that what they are doing not only makes new types of designs possible but also reduces design times and cuts the cost since it doesn’t require physical prototyping. “This high degree of shape diversity hasn’t been investigated before,” Peter Yichen Chen, an MIT postdoc and co-lead author on the project, mentioned. He also noted that their AI pipeline allows testing forms that would be “very taxing” for humans to manually design.

The future plans are to produce slimmer and more manoeuvrable gliders and to improve the AI system with more configurable options. Intelligent bioinspired vehicles like these, the researchers say, will be essential in studying dynamic ocean environments that are changing quickly with the intensifying demands of industrial activity, ultimately offering more flexible and efficient ways for us to explore Earth’s last frontier.

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Hubble Observations Give Forgotten Globular Cluster Its Moment to Shine



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