Latest news with #SEAL
Time of India
5 hours ago
- Time of India
Belgian Malinois to help check wildlife crimes in Ranthambore
Jaipur: Belgian Malinois dogs, renowned for guarding the White House and assisting in the SEAL operation that eliminated Osama bin Laden, will soon be deployed for anti-poaching and wildlife protection duties in Ranthambore Tiger Reserve (RTR). Tired of too many ads? go ad free now This will mark the first deployment of a specialised canine unit at RTR. A forest official said, "This breed, developed in the Maline region of Belgium in the 1800s, is known for its intelligence, agility and alertness. The dogs are currently undergoing training at the Basic Training Centre of the Indo-Tibetan Border Police Force (BTC-ITBP) in Panchkula, Haryana." The move follows recommendations from the 2022 Management Effectiveness Evaluation of Tiger Reserves conducted by the National Tiger Conservation Authority (NTCA), which advocated the introduction of a sniffer dog squad in Ranthambore. "These dogs are trained to detect skins and bones of tigers and leopards and track poachers and hunters. With a keen sense of smell, high endurance and natural aggression, they are ideally suited for wildlife crime detection," the official added. Similar dog squads have already been deployed in other tiger reserves, including Kaziranga, Corbett and Periyar, where they have proven effective in curbing poaching and aiding in wildlife crime investigations. Once inducted, the dogs will assist in detecting forest and wildlife offences such as poaching, illegal tree felling and the trafficking of contraband, including protected animals, forest produce and weapons. "In Rajasthan, vast and porous forest landscapes present challenges to surveillance. The Belgian Malinois can strengthen on-ground enforcement," the official said. "They are particularly effective in tracking offenders through dense terrain, locating crime scenes and supporting forest staff during raids. To curb poaching and trafficking of endangered species, canine units will provide a mobile, real-time tool for response and preventive patrolling. "
Business Upturn
11 hours ago
- Entertainment
- Business Upturn
The Terminal List Season 2: Release date rumors, cast updates and what to expect next
By Aman Shukla Published on July 2, 2025, 18:00 IST Last updated July 2, 2025, 11:00 IST Alright, The Terminal List fans, let's talk about Season 2. After that wild first season hit Amazon Prime Video back in July 2022, we've all been itching for more of Chris Pratt's Navy SEAL, James Reece, and his no-holds-barred mission. The show, based on Jack Carr's gritty novels, hooked us with its action and conspiracy vibes. Now, with Season 2 in the works, here's the latest scoop on when it might drop, who's coming back, and what's next for Reece. The Terminal List Season 2 Potential Release Date So, when can we expect to binge Season 2? Amazon gave the green light for a second season way back in February 2023, but we're still waiting on an official premiere date. Word on the street—or rather, posts on X and entertainment sites—says filming kicked off in Toronto in March 2025. They're supposedly wrapping up by late fall, maybe August or November 2025. Since Season 1 took about a year from filming to release, we're probably looking at mid-2026, like spring or summer, for Season 2 to land. The Terminal List Season 2 Expected Cast Season 1 didn't exactly leave a ton of survivors, but the core crew is back, and we've got some fresh talent joining the fray. Here's who to watch for: Chris Pratt as James Reece : Our guy Reece is back, still haunted but ready for more action. Pratt's been hyping up the season, saying it'll bring that same military grit with even more intensity. : Our guy Reece is back, still haunted but ready for more action. Pratt's been hyping up the season, saying it'll bring that same military grit with even more intensity. Constance Wu as Katie Buranek : The journalist who helped Reece dig into the Season 1 conspiracy should return, especially since she's a big part of the books. : The journalist who helped Reece dig into the Season 1 conspiracy should return, especially since she's a big part of the books. JD Pardo as Tony Layun : The FBI agent who made it out alive is likely to pop up again, keeping Reece on his toes. : The FBI agent who made it out alive is likely to pop up again, keeping Reece on his toes. Gabriel Luna as Freddy Strain : New kid on the block! Luna, who you might know from The Last of Us , plays a former SEAL turned CIA operative. He's a sniper with a heart, balancing family life with high-stakes missions, and he's set to guide Reece toward some kind of redemption. : New kid on the block! Luna, who you might know from , plays a former SEAL turned CIA operative. He's a sniper with a heart, balancing family life with high-stakes missions, and he's set to guide Reece toward some kind of redemption. Martin Sensmeier as Sergeant Major Otaktay : This 1883 alum joins as a warrior who's all about justice, which could spark some serious tension with Reece. : This alum joins as a warrior who's all about justice, which could spark some serious tension with Reece. Tom Hopper as Raife Hastings : You might've seen Hopper in The Umbrella Academy . He's playing Raife in the Dark Wolf prequel, and since Raife's a key figure in the book Season 2's based on, he might cross over. : You might've seen Hopper in . He's playing Raife in the prequel, and since Raife's a key figure in the book Season 2's based on, he might cross over. Taylor Kitsch as Ben Edwards: Ben's story ended rough in Season 1, but Kitsch is back for the Dark Wolf prequel, diving into his SEAL-to-CIA days. Pratt's also in the prequel, so we might see some timeline-crossing magic. Could we see Riley Keough or Arlo Mertz as Lauren and Lucy Reece? Maybe in flashbacks, since their Season 1 fates were heartbreaking. There's also buzz about new characters like Mohammed Farooq, possibly played by Dar Salim from the prequel. The Terminal List Season 2 Potential Plot Season 2's pulling from True Believer , the second book in Jack Carr's series. If Season 1 was all about revenge, this one's more of a global spy thriller. Reece is on the run, hiding out in Mozambique after Season 1's chaos. Then, a terrorist attack in London—a bomb at a holiday fair—flips the script. The CIA drags Reece back in to hunt down an Iraqi commando tied to the attacks. It's a wild ride across continents, with Reece dodging enemies and wrestling with his fugitive status. David DiGilio, the showrunner, says True Believer is a 'huge, epic story' that'll mix intense action with new twists to keep things fresh. Expect Reece to face some tough choices, maybe find a bit of redemption, and lean on new allies like Freddy Strain. The Dark Wolf prequel, focusing on Ben Edwards, will also tie in, setting up characters like Raife Hastings who could play a big role in Season 2. Ahmedabad Plane Crash Aman Shukla is a post-graduate in mass communication . A media enthusiast who has a strong hold on communication ,content writing and copy writing. Aman is currently working as journalist at
Indian Express
2 days ago
- Indian Express
Navi Mumbai man locks himself in flat for 3 years after death of kin; found surrounded by garbage, human waste
Social workers recently rescued a former computer programmer who had isolated himself for years after he lost his parents and brother. Anup Kumar Nair, 55, was found in an unkempt condition, surrounded by garbage, food packets, broken furniture, and human waste at his Navi Mumbai home. According to a report in the Times of India, Nair was depressed and locked himself in his flat due to psychological trauma. Rescued by social workers under the Social and Evangelical Association for Love (SEAL), a Panvel-based NGO, he was surviving by ordering meals through food delivery apps over the last three years. Nair had reportedly cut off all contact with society, and was found with a severe leg infection. The report stated that Nair's parents passed away a few years ago, and his elder brother died by suicide nearly 20 years ago. His relatives attempted to contact him on several occasions but he avoided interacting with them due to trust issues. The incident came to light when a resident of the complex informed SEAL about the poor state of the flat. The team quickly gained access to the place and provided medical assistance to Nair. 'We, society members, had to sometimes persuade him to help us take his trash out. We also helped him to transfer the fixed deposit of his parents to his account,' his neighbour told TOI. Nair is now living at the SEAL ashram in Panvel. Opening up about his life, he said, 'I don't have any friends at present, and my parents and brother have already died. Due to my poor health, I cannot find a new job.' 'It is ironic how some citizens become extremely lonely and depressed in this crowded city, as they are unable to reach out for help. Fortunately for Nair, he was rescued, but there are countless others who simply perish inside their own locked flats, their bodies found days later,' chief patron of SEAL, Abraham Mathai, told TOI.
India Today
2 days ago
- Health
- India Today
Family died, no friends: Techie locks self in Mumbai flat, rescued after 3 years
A 55-year-old man from Navi Mumbai was rescued last week after spending over three years locked inside his apartment, completely isolated from the outside world. The man, identified as Anup Kumar Nair, was suffering from severe depression and had voluntarily confined himself due to psychological trauma and a former computer programmer, lived in Gharkool Society in Sector 24, Juinagar. According to social workers from SEAL (Social and Evangelical Association for Love), a Panvel-based NGO, he had not stepped out of his flat for more than three only interaction with the outside world came through food delivery apps, which he used to meet his basic needs. When SEAL's team entered his apartment, they found him living in appalling conditions, surrounded by garbage and suffering from a serious leg infection. Nair's life took a downward turn following a series of personal tragedies — the death of his parents a few years ago and the suicide of his elder brother nearly two decades ago. The emotional toll left him mentally exhausted and increasingly withdrawn. Eventually, he chose to isolate himself completely, disconnecting from friends, neighbours, and society at condition came to light after a concerned resident of the society alerted SEAL about the disturbing state of the flat. The NGO's team responded swiftly, gaining access to the apartment and immediately arranging for medical rarely opened his door and never disposed of garbage,' said Vijay Shibe, Chairman of Gharkool Society.'We tried to help him in small ways and even provided financial assistance when we could. But we knew something was seriously wrong.'Local resident Nikhil Marathe, who was instrumental in alerting authorities, added, 'It's heartbreaking to see someone deteriorate like this in silence. We all need to be more aware of those living alone around us.'Currently, Nair is undergoing treatment and rehabilitation at SEAL Ashram in Panvel. Though still emotionally fragile, doctors and caregivers have reported early signs of improvement in his overall health and mental a brief conversation with his caretakers, Nair said, 'My parents are gone, my brother is gone, and I have no friends left. My health is also not good. So there's no scope for a new beginning.'- EndsMust Watch
WIRED
18-06-2025
- Science
- WIRED
This AI Model Never Stops Learning
Jun 18, 2025 12:00 PM Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself. Photo-Illustration:Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of Technology (MIT) have now devised a way for LLMs to keep improving by tweaking their own parameters in response to useful new information. The work is a step toward building artificial intelligence models that learn continually—a long-standing goal of the field and something that will be crucial if machines are to ever more faithfully mimic human intelligence. In the meantime, it could give us chatbots and other AI tools that are better able to incorporate new information including a user's interests and preferences. The MIT scheme, called Self Adapting Language Models (SEAL), involves having an LLM generate its own synthetic training data based on the input it receives. 'The initial idea was to explore if tokens [units of text fed to LLMs and generated by them] could cause a powerful update to a model,' says Jyothish Pari, a PhD student at MIT involved with developing SEAL. Pari says the idea was to see if a model's output could be used to train it. Adam Zweiger, an MIT undergraduate researcher involved with building SEAL, adds that although newer models can 'reason' their way to better solutions by performing more complex inference, the model itself does not benefit from this reasoning over the long term. SEAL, by contrast, generates new insights and then folds it into its own weights or parameters. Given a statement about the challenges faced by the Apollo space program, for instance, the model generated new passages that try to describe the implications of the statement. The researchers compared this to the way a human student writes and reviews notes in order to aid their learning. The system then updated the model using this data and tested how well the new model is able to answer a set of questions. And finally, this provides a reinforcement learning signal that helps guide the model toward updates that improve its overall abilities and which help it carry on learning. The researchers tested their approach on small and medium-size versions of two open source models, Meta's Llama and Alibaba's Qwen. They say that the approach ought to work for much larger frontier models too. The researchers tested the SEAL approach on text as well as a benchmark called ARC that gauges an AI model's ability to solve abstract reasoning problems. In both cases they saw that SEAL allowed the models to continue learning well beyond their initial training. Pulkit Agrawal, a professor at MIT who oversaw the work, says that the SEAL project touches on important themes in AI, including how to get AI to figure out for itself what it should try to learn. He says it could well be used to help make AI models more personalized. 'LLMs are powerful but we don't want their knowledge to stop,' he says. SEAL is not yet a way for AI to improve indefinitely. For one thing, as Agrawal notes, the LLMs tested suffer from what's known as 'catastrophic forgetting,' a troubling effect seen when ingesting new information causes older knowledge to simply disappear. This may point to a fundamental difference between artificial neural networks and biological ones. Pari and Zweigler also note that SEAL is computationally intensive, and it isn't yet clear how best to most effectively schedule new periods of learning. One fun idea, Zweigler mentions, is that, like humans, perhaps LLMs could experience periods of 'sleep' where new information is consolidated. Still, for all its limitations, SEAL is an exciting new path for further AI research—and it may well be something that finds its way into future frontier AI models. What do you think about AI that is able to keep on learning? Send an email to hello@ to let me know.
