&w=3840&q=100)
Railway security system has its eyes on you with AI-based cameras
National transporter ramps up project to instal AI-based cameras that can recognise faces
Dhruvaksh Saha New Delhi
Listen to This Article
The next time you are at a crowded railway station, look around. Cameras that recognise faces are watching, joining Indian law enforcement's increasing reliance on advanced surveillance technology for security and crime prevention as activists worry about the impact on privacy.
The Indian Railways, which carries 7 billion passengers annually, has its own police force and surveillance systems to secure and monitor stations, trains and other facilities. The national transporter has put up facial recognition system (FRS) cameras at more than 200 stations, but is using only a portion of their surveillance strength. It's running a pilot that will make

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Time of India
3 hours ago
- Time of India
Procurement rules for scientific research eased
Mumbai: In a resounding shift, the ministry of finance eased a long-standing bottleneck in procurement rules that once tethered researchers to the govt e-Marketplace (GeM), now allowing them to source scientific equipment and consumables from outside it. The revision in monetary ceilings and procurement channels, officials say, required the direct intervention of Prime Minister Narendra Modi. For the scientific community, this isn't just administrative reform—it's an acknowledgment and a huge relief. "Science cannot be caged in platforms and progress cannot always be L1," said a frustrated scientist, who said procurement was running into long delays because of cost and quality issues. The spirit behind GeM portal is, in principle, noble, said most scientists—designed to uplift Indian suppliers and foster a self-reliant manufacturing ecosystem. "But behind the digital veneer of transparency and procurement lies a troubling reality." "As a scientist, I ask—what truly serves the nation? If I want to order a computer that serves my requirements today, I cannot buy one unless it is L1," said professor at the School of Biotechnology at Jawaharlal Nehru University, Binay Panda. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like The Most Successful Way of Intraday Trading is "Market Profile" TradeWise Learn More Undo Five amendments have been made to existing procurement rules. Vice-Chancellors and directors of India's top scientific and academic institutions no longer have to wait for clearances to procure scientific equipment and consumables for research. Under the newly eased rules, they now hold the power to approve Global Tender Enquiries—up to a staggering Rs 200 crore—if they believe the need is justified. No central nod, no extra scrutiny. Just their judgment. Similarly, the ceiling for direct purchases—those made without quotations—has been raised from Rs 1 lakh to Rs 2 lakh. And what once required a drawn-out trail of tenders—purchases from Rs 1 to 10 lakh—can now be cleared by a purchase committee for anything up to Rs 25 lakh. Additionally, the limits on limited tender enquiry have been lifted—from Rs 50 lakh to Rs 1 crore. And perhaps, most telling of all, said scientists—the need for open tenders—earlier triggered at Rs 50 lakh—will now apply only to purchases above Rs 1 crore. Minister of State for Science and Technology, Jitendra Singh, took to social media and termed this as "a landmark step" for enabling #EaseOfDoingResearch. "This will reduce delays, also enhance autonomy and flexibility for research institutions—empowering them to innovate faster," he added. Secretary of the Department of Science and Technology, Prof Abhay Karandikar, said, "It was made possible by the collective efforts of everyone, including other scientific secretaries, PSA, Department of Expenditure and Cabinet Secretariat. " Another scientist explained that in this "algorithm-driven marketplace, the lowest bidder always wins, never mind if the product fails the test of quality. What use is cost-efficiency if it sacrifices precision and most importantly, the requirements of a scientific experiment? What use is patriotism if it's only glued on?" "They don't really make these products here," added Prof Panda. "They import many parts, assemble them locally, and slap on a Make in India sticker—as if that alone sanctifies the machine." He quickly added, "If there is a good Indian product, we do not think twice. We prefer make-in-India by default—it's more affordable, support is better, and it's close by." Most scientists echoed this. However, "We don't want to buy an Indian product if science suffers. "


Time of India
3 hours ago
- Time of India
palantir technologies stock news: Palantir CEO Alex Karp predicts U.S.-China AI race will have one winner as GOP slams Trump's data deal
Why does Alex Karp believe the U.S.-China AI race will have only one winner? Is the West falling behind in AI innovation? What's the controversy surrounding Palantir's government work? ADVERTISEMENT How much government work has Palantir secured under Trump? ADVERTISEMENT How has Palantir's stock performed in the last year? ADVERTISEMENT What's next for Palantir and U.S. leadership in AI? FAQs: Palantir Technologies Inc. (NASDAQ: PLTR) CEO Alex Karp has issued a strong warning about the ongoing artificial intelligence race between the United States and China. Speaking on CNBC's 'Squawk on the Street' Thursday, Karp stated bluntly that the AI arms race 'will have one winner,' and he urged Western countries to act quickly or risk falling behind. While he highlighted the benefits of AI, he also underscored its risks, warning that failing to innovate responsibly could put democratic nations at a disadvantage. His comments come amid political criticism and a dip in Palantir's emphasized that the global competition in artificial intelligence is not just about technology—it's about values, power, and national security. According to Karp, 'either you win or you lose in this game.' He made it clear that the AI race isn't like traditional markets where multiple players can thrive; instead, there will likely be one dominant power, and he believes it's crucial that Western democracies lead that credited American corporate culture for fostering rapid innovation, saying that U.S. companies are uniquely positioned to adapt quickly and push tech boundaries. 'No other economy has corporate leaders as adaptable and tech-savvy while remaining deeply grounded in industry expertise,' he warning wasn't just for the U.S. government—it was a message for all Western allies. He urged countries in Europe and beyond to learn from America's aggressive innovation approach. He expressed concern that without similar urgency and investment, other democratic nations could lose ground in AI development, making the global balance of power increasingly tilted in China's urgency he stressed reflects a broader concern among policymakers and tech leaders about China's rapid advancements in AI, especially in military and surveillance Karp made headlines with his AI warnings, Palantir is also facing political heat. Some Republican lawmakers are criticizing the Trump administration's expanding deals with the company, citing concerns over surveillance and data privacy. There are reports alleging that Palantir helped gather information on Americans during Trump's directly addressed these claims, calling them 'ridiculous.' He denied that Palantir surveilled U.S. citizens to aid the federal government, insisting that the company operates within strict legal and ethical the pushback from GOP lawmakers has had a market impact. On Thursday, PLTR stock fell by 7.77%, closing at $119.91, following reports of criticism over the company's government the controversy, Palantir has significantly expanded its footprint in the federal government. Since Donald Trump took office, the company has secured over $113 million in new or extended contracts, not including a massive $795 million deal with the Department of Defense. These contracts span across various government departments, including defense, intelligence, and public growing role in national security, and its work with the U.S. military, puts it at the center of both innovation and political recent criticism and Thursday's stock dip, Palantir has seen a 435% surge in its stock value over the past 12 months. Investors have largely backed the company's strong positioning in AI and defense technologies, as well as its growing list of public sector and private sector Karp's comments—and the political tension around federal contracts—signal that volatility may continue. As the AI race intensifies, Palantir's future may depend just as much on public trust as it does on government countries like China investing billions into AI, Karp's call for the West to 'keep up' isn't just a company pitch—it's a broader plea for urgency. Whether it's through policy changes, public-private partnerships, or stronger investment in AI research, the next few years could decide who leads the global tech the AI landscape evolves, Palantir Technologies remains at the center of the debate—balancing innovation, ethics, politics, and national security. Karp's stark message is clear: the AI race isn't slowing down, and only the most prepared nation will win.A1: He believes AI dominance will go to one nation, urging the West to move faster.A2: No, CEO Alex Karp denied all surveillance claims linked to the Trump administration.


Time of India
3 hours ago
- Time of India
AI versus first jobbers: Here are six tips for bright young students as AI threatens entry-level jobs
ADVERTISEMENT ADVERTISEMENT ADVERTISEMENT founder Dario Amodei has set the cat among the pigeons by predicting that AI could eliminate half of all entry-level, white-collar jobs within five years. Aneesh Raman, a senior leader in LinkedIn, sees 'the bottom rung of the job ladder breaking', with entry-level coding, para-legal and consulting analyst jobs under threat of being 'replaced with AI'.Molly Kinder of Brookings says, 'These tools are so good that I no longer need marketing analysts, finance analysts and research assistants.'Even in my tiny company, we have 'replaced' a couple of junior researchers with deep research AI agents from OpenAI and phenomenon of entrylevel jobs being under AI threat is not only anecdotal. Raman sees hard evidence of this on LinkedIn, with 63% of VPs and above agreeing that AI might eventually take on some of the entry-level roles and tasks. The latest US job data reveals that the unemployment rate for college grads has risen by 30%, compared with about 18% for all by big tech and consulting firms support this assertion. PwC recently laid off 1,500 US employees, most of them recent hires. Microsoft got rid of about 3% of its workforce, most of them software engineers and project managers. A now-famous memo by the Spotify CEO froze all hiring, insisting that employees must first prove that AI can't do that job before they hire a human has always impacted jobs, destroying many old ones, but also creating new, unexpected ones. The IT wave put old-school clerks and stenographers to pasture, but created millions of software developers and search engine marketers. Manufacturing went through a similar however, is different in the sense that it is a cognitive technology—one of the brain, rather than of the hand. So, it squarely takes aim at the knowledge worker and the creative seems different with AI is how it is impacting first jobbers and entry-level workers. This is dangerous, as it is in the formative years that youngsters learn skills and gain basic code and debugging are how they rise to become great software engineers; junior paralegals and associates draft clauses and contracts that prepares them for partner-level tasks; and retail and customer service agents learn the basics before they can rise up the hierarchy. These are, coincidentally, the tasks that AI can do best. Deep Research can do the job of researchers; vibe coding with Cursor AI of entry-level software; while Harvey AI and NotebookLM draft excellent curiously, AI seems to be favouring the older people—with their human qualities of judgement, experience, institutional memory and collaboration, sharpened over years. It is in these human skills that young people need to be groomed. But if entry jobs go away, it will create a massive unemployment and educational crisis, and choke the pipeline of young people who can replace the our obsession for software and STEM, it was not only computer or software engineering graduates who joined tech firms as software engineers. Legions of mechanical, electronics and even civil engineers did the same. There is a whole world to build out there outside of software. Manufacturing firms desperately need engineers to run their machines, there are bridges to be built, roads to be repaired and data centres to be run. For instance, Google recently announced a $10 million grant, among other things, to train electricians for the power plant and data centre boom that AI has sowed. This huge shortage means electrical engineers in data centre clusters in the US are earning significantly more than software engineers do. Simply put, say hello to the revolutionary idea that mechanical engineers do mechanical definition of literacy has changed. It was about reading, writing and arithmetic; now it is beyond that to working naturally with AI tools and agents. Young people, including those I teach at Ashoka and other universities, are fast adapting to be AI literate and use AI tools in everything they do, to get a leg up in their job search. At KPMG, recent graduates are reportedly leveraging AI tools and handling tax jobs that used to be done by employees with three-plus years' experience. Big legal firms are encouraging early-career lawyers to work on complex contracts that once senior people will have to rediscover humanities with subjects of logic, grammar, ethics, philosophy and literature to keep our competitive advantage. With AI agents increasingly handling the technical 'how-to' of tasks, the human edge will lie in the 'why' and the 'what next'. The 'humble' subjects of humanities like language, philosophy, grammar and the arts are the ones that provide us critical frameworks for understanding context, ethics, human motivation, creativity and critical judgment —skills that are inherently difficult for AI to replicate meaningfully. As answers become commoditised, questions or prompts become important, and increasingly employers will prefer graduates with a mix of humanities and technical and SMEs build economies, not large monolithic organisations. More and more first jobbers will choose to become entrepreneurs. The New York Times writes about how at Stanford University, fewer grads are considering tech and finance careers, and more of them are plunging into starting companies — 'on the theory that if humans are about to lose their labor advantages to powerful AI systems, they had better hurry and do something big'.There is no rule that people must do only one job at a time. As AI rolls in, multiple skills will become much more important. Be a software engineer and a chef; qualify as a designer and run a pet foster home; build websites as well as toys for children. Think of your career not as a linear progression in a single industry, but a portfolio you are before this era, young people entered jobs as apprentices. They would pay a master blacksmith or surgeon to teach them their craft, before setting up a practice of their own. The modern corporate organisation reversed that trend; young people were paid to learn during their initial years. As AI replaces basic skills and reinvents work, there could be a reversal. There could be a future where humans would invest to do our first job, before we claim the right to earn.