AI-driven quality control systems and mfg solutions focus of CICU workshop
Ludhiana: It's no secret that AI is set to revolutionise manufacturing, like every other sphere of life and work.
At a workshop organised at the Chamber of Industrial & Commercial Undertakings (CICU) recently, the transformative role of AI in modern manufacturing was discussed at length.
Tired of too many ads? go ad free now
The focus was on how AI is revolutionising industrial practices by enhancing operational efficiency, enabling predictive maintenance, and driving automation, thereby improving overall productivity and significantly reducing costs.
Application of machine learning in production processes and real-time data analysis, insights into deep learning, emphasising AI-driven quality control systems and intelligent manufacturing solutions were explained and discussed by the participants, while exploring the role of generative AI, with a focus on natural language processing and the capabilities of various foundation models.
Another key area of discussion was prompt engineering and a comparative analysis between OpenAI tools and proprietary AI solutions. The workshop also addressed the importance of security and compliance frameworks for industries and presented suggested proprietary models to tackle sector-specific challenges. In addition, the integration of AWS tools into routine industrial operations was demonstrated, showcasing how cloud-based solutions are enhancing efficiency across different verticals.
The event saw active participation and enthusiasm from all attendees, underlining the growing interest in adopting AI-driven technologies in industry.
Ashwani Muraal, founder & CEO of Kare Technologies; Priyanka Goswami, senior product specialist ( technical support at PTC); and Abhay Gupta, business strategist at Ingram Micro India shared their insights and expertise.
Upkar Singh Ahuja, president of CICU, presented a token of gratitude to the faculty.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Hindustan Times
39 minutes ago
- Hindustan Times
Is this year the beginning of the end of smartphones?
Last month, a curious partnership in the Valley made me wonder on the future of smart devices and the way we access our digital universe. In a rather whimsical blog post, OpenAI announced the acquisition of Jony Ive's studio startup io for $6.5 billion. 'We have the opportunity to completely reimagine what it means to use a computer,' said Altman, adding that despite unprecedented capability and new technologies like AI, the digital experience is being shaped by traditional products and interfaces. A new technology like AI, he explained, requires a complete rethink of tools through which we interact with the digital universe. The first smartphone came into being in the early 1993, when IBM's Simon added email and fax to a phone's capability. (Representative photo) This acquisition would've become yet another corporate announcement, except for the timing of it. In the last couple of years, there's a feeling across Silicon Valley that smartphone as a device to interact with the digital world is not enough. New technologies like AR/VR, robotics and now AI need new products to explore them with. The new generation is approaching the digital world as an extension of themselves, through speech and not swiping or typing. As technology becomes more intuitive, we need new devices to reflect this change – more immersive and aural, devices that augment the real world and not take you away from it. Tech companies are putting their heads together to develop devices that are more immersive or approach digital through other senses like aural or even neural. Legacy companies like Meta, Apple and Google and startups like Neuralink are experimenting with smart glasses, wearables, iOT devices, smartwatches, neural computers and even spatial computers (like VisionPro) where digital media is integrated with our real-life experience. So far, none of these devices have worked, but it does feel like we're at a cusp of dramatic change. A senior vice president in Apple even acknowledged that in 10 years, iPhones could go the way of iPods - become irrelevant and retro. It's time for this change, I would say. After all, our way of interacting with digital spaces – through laptops, desktops and smart devices - has been the same for more than 30 years now. The first smartphone came into being in the early 1993, when IBM's Simon added email and fax to a phone's capability. In 1990s that there was a constant feeling of experimentation as the handheld phones and PDAs that could access the internet were being played with through product design. Companies across the world from USA to Japan wanted to integrate access to internet with a phone. The mid 2000s brought smartphones like Blackberry with QWERTY keyboards, which quickly made tapping and emailing the done thing to do. This changed dramatically when finger-operative touchscreen technology came out into the market. Within a couple of years in 2006, LG had used it to launch a touchscreen smartphone. And then Apple made it the new normal when it launched iPhones in 2007. Also Read: Do gaming smartphones really make sense in 2025? Though there have been amazing advances in the smartphone including camera capabilities, chip design and biometrics, the device design itself hasn't changed the way we interact with the digital world. There's a screen we swipe, touch and pinch. We check out social media, upload our photos on cloud and chat and email on the go. This staleness in the design was clear in Apple's recently concluded annual developer conference, WWDC 2025. The new iPhone 17 will be more or less the same as iPhone 16 with a few tiny tweaks. Jony Ive, whose company OpenAI acquired, was formerly Apple's chief design officer and led design teams for Apple's iconic products – the iPhone, the iPod and even the Macbook Pro – before leaving the company in 2019. This new project that he's working on, has got him (and us) excited. According to him, this time now, 2025, reminds him of three decades ago when he emigrated to Silicon Valley to design products that would interact with the Internet. 'I have a growing sense that everything I have learned over the last 30 years has led me to this moment,' he said in the acquisition announcement. The Wall Street Journal reported that Open AI is considering options that want to move consumers beyond screens into a unique combination of listening devices and cameras. 'Surely there's something beyond legacy products,' says Ive, adding that they've already built a prototype and are currently working on more AI-first devices. I know what you're thinking and frankly, I'm thinking the same. Smartphones are our lifelines. We do everything on these devices – from chatting to watching shorts and videos, to making payments on the go. We're multi-screen beasts today, our fingers constantly swiping or typing and ridden with RSI, our eyes fatigued. Also Read: AI needs to be open and inclusive like India Stack But the world is also changing in ways that make me think maybe we will use devices without screens as the enablers. Voice interaction has caught on. The way we fish for information is going from a typed search to a prompt we ask. There is an increasing unease about phone-addiction and screen time. We're all looking for a way out. Something that allows us to be digitally connected without exhausting us. Devices that are more intuitive, more immersive, aural and neural that become extensions of us so we can interact with digital spaces without choosing them over real life. All this signals to an experimentative market which is ready for something new. I can't wait to find out what replaces my screens in the near future. What about you?
Indian Express
2 hours ago
- Indian Express
AI sludge has entered the job search
Katie Tanner, a human resource consultant in Utah, knew the job would be popular: It was fully remote, was at a tech company and required only three years of experience. But she was still shocked by the response on LinkedIn. After 12 hours, 400 applications had been submitted. By 24 hours, there were 600. A few days later, there were more than 1,200, at which point she removed the post. Three months later, she's still whittling down candidates. 'It's crazy,' she said. 'You just get inundated.' The number of applications submitted on LinkedIn has surged more than 45% in the past year. The platform is clocking an average of 11,000 applications per minute, and generative artificial intelligence tools are contributing to the deluge. With a simple prompt, ChatGPT, the chatbot developed by OpenAI, will insert every keyword from a job description into a resume. Some candidates are going a step further, paying for AI agents that can autonomously find jobs and apply on their behalf. Recruiters say it's getting harder to tell who is genuinely qualified or interested, and many of the resumes look suspiciously similar. 'It's an 'applicant tsunami' that's just going to get bigger,' said Hung Lee, a former recruiter who writes a widely read newsletter about the industry. One popular method for navigating the surge? Automatic chat or video interviews, sometimes conducted by AI. Chipotle CEO Scott Boatwright, said at a conference this month that its AI chatbot screening and scheduling tool (named Ava Cado) had reduced hiring time by 75%. HireVue, a popular AI video interview platform, offers recruiters an option to have AI assess responses and rank candidates. But candidates can also use AI to cheat in these interviews, and some companies have added more automated skill assessments early in the hiring process. For example, HireVue offers AI-powered games to gauge abilities like pattern recognition and working memory, and a virtual 'tryout' that tests emotional intelligence or skills like counting change. Sometimes, Lee said, 'we end up with an AI versus AI type of situation.' In January, the Justice Department announced indictments in a scheme to place North Korean nationals in IT roles working remotely at U.S. companies. Emi Chiba, a human resource technology analyst at Gartner, told DealBook that reports of candidates who used fake identities had been 'growing and growing and growing.' A report that Chiba published with other Gartner analysts in April estimated that by 2028, about 1 in 4 job applicants could be made up. Among its recommendations was that companies deploy more sophisticated identity-verification software. To address the problem, LinkedIn recently added tools to help both candidates and recruiters narrow their focus, including an AI agent, introduced in October, that can write follow-up messages, conduct screening chats with candidates, suggest top applicants and search for potential hires using natural language. A feature that shows potential applicants how well their qualifications match up with a job description, which LinkedIn introduced to premium subscribers in January, reduced the rate at which they apply to 'low match' jobs by 10%, according to the company. Concerns that using AI in hiring can introduce bias have led to lawsuits and a patchwork of state legislation. The European Union's AI Act classifies hiring under its high-risk category, with the most stringent restrictions, and while no U.S. federal law specifically addresses AI use in hiring, general antidiscrimination laws can potentially come into play if the result of any process is discrimination. 'You're not allowed to discriminate, and of course most employers are trying not to discriminate, but easier said than done,' said Marcia Goodman, a partner at Mayer Brown who primarily represents employers. The problem is less that candidates are using AI — a skill many employers say they want — than it is that they're being sloppy. Alexa Marciano, the managing director of Syndicatebleu, a recruiting agency, said job seekers were reacting to recruiters' use of automated screening. 'It's really frustrating for the candidates because they spend all this time creating very catered cover letters, very catered resumes,' she said. Jeremy Schifeling, a career coach who regularly conducts technology-focused job-search training at universities, said he could see this back-and-forth going on for a while. 'As students get more desperate, they say, 'Well, I have no choice but to up the ante with these paid tools to automate everything.' And I'm sure the recruiters are going to raise the bar again.' He argues the endgame will be authenticity from both sides. But, he said, 'I do think that a lot of people are going to waste a lot of time, a lot of processing power, a lot of money until we reach that realization.'
Indian Express
2 hours ago
- Indian Express
Can AI quicken the pace of math discovery?
Artificial intelligence can write a poem in the style of Walt Whitman, provide dating advice and suggest the best way to cook an artichoke. But when it comes to mathematics, large language models like OpenAI's immensely popular ChatGPT have sometimes stumbled over basic problems. Some see this as an inherent limitation of the technology, especially when it comes to complex reasoning. A new initiative from the Defense Advanced Research Projects Agency seeks to account for that shortfall by enlisting researchers in finding ways to conduct high-level mathematics research with an AI 'co-author.' The goal of the new grant-making program, Exponentiating Mathematics, is to speed up the pace of progress in pure (as opposed to applied) math — and, in doing so, to turn AI into a superlative mathematician. 'Mathematics is this great test bed for what is right now the key pain point for AI systems,' said Patrick Shafto, a Rutgers University mathematician and computer scientist who now serves as a program manager in DARPA's information innovation office, known as I20. 'So if we overcome that, potentially, it would unleash much more powerful AI.' He added, 'There's huge potential benefit to the community of mathematicians and to society at large.' Shafto spoke from his office at DARPA's headquarters, an anonymous building in northern Virginia whose facade of bluish glass gives little indication that it houses one of the most unusual agencies in the federal government. Inside the building's airy lobby, visitors surrender their cellphones. Near a bank of chairs, a glass display shows a prosthetic arm that can be controlled by the wearer's brain signals. 'By improving mathematics, we're also understanding how AI works better,' said Alondra Nelson, who served as a top science adviser in President Joe Biden's administration and is a faculty member at the Institute for Advanced Study in Princeton, New Jersey. 'So I think it's kind of a virtuous cycle of understanding.' She suggested that, down the road, math-adept AI could enhance cryptography and aid in space exploration. Started after World War II to compete with the Soviet Union in the space race, DARPA is most famous for fostering the research that led to the creation of ARPANET, the precursor to the internet we use today. At the agency's small gift store, which is not accessible to the public, one can buy replicas of a cocktail napkin on which someone sketched out the rudimentary state of computer networks in 1969. DARPA later funded the research that gave rise to drones and Apple's digital assistant, Siri. But it is also responsible for the development of Agent Orange, the potent defoliant used to devastating effect during the Vietnam War. 'I'm sure this isn't 100% innocent,' Andrew Granville, a mathematician at the University of Montreal, said of DARPA's math initiative, although he emphasized that he was only speculating about eventual outcomes. DARPA is, after all, part of the Pentagon, even if it has traditionally operated with enviable independence. The U.S. military is rapidly incorporating AI into its operations, with the aim of not losing out to China and its People's Liberation Army or to Russia, which has been testing out new technologies on the battlefield in Ukraine. At the same time, Granville praised the endeavor, which comes as the Trump administration is cutting funding for scientific research. 'We are in disastrous times for U.S. science,' Granville said. 'I'm very pleased that DARPA is able to funnel money to academia.' A surfer and skateboarder in his free time, Shafto, 49, sat in a sparse conference room one recent afternoon, imagining a future when AI would be as good at solving multistep problems as it is at trying to glean meaning from huge troves of texts, which it does through the use of probability theory. Despite the unseasonably raw weather, Shafto seemed dressed for the beach in a blue-and-white Hawaiian-style shirt, white flannel trousers and sandals, with a trilby hat on the table before him. His vibe was, on the whole, decidedly closer to that of Santa Cruz than of Capitol Hill, largely in keeping with DARPA's traditional disregard for the capital's slow, bureaucratic pace. (The agency sets priorities and funds outside scientists but does not do research on its own; academics like Shafto spend an average of four years as program managers.) 'There are great mathematicians who work on age-old problems,' Shafto said. 'That's not the kind of thing that I'm particularly interested in.' Instead, he wanted the discipline to move more quickly by using AI to save time. 'Problems in mathematics take decades or centuries, sometimes, to solve,' he said in a recent presentation at DARPA's headquarters on the Exponentiating Mathematics project, which is accepting applications through mid-July. He then shared a slide showing that, in terms of the number of papers published, math had stagnated during the last century while life and technical sciences had exploded. In case the point wasn't clear, the slide's heading drove it home: 'Math is sloooowwww. …' The kind of pure math Shafto wants to accelerate tends to be 'sloooowwww' because it is not seeking numerical solutions to concrete problems, the way applied mathematics does. Instead, pure math is the heady domain of visionary theoreticians who make audacious observations about how the world works, which are promptly scrutinized (and sometimes torn apart) by their peers. 'Proof is king,' Granville said. Math proofs consist of multiple building blocks called lemmas, minor theorems employed to prove bigger ones. Whether each Jenga tower of lemmas can maintain integrity in the face of intense scrutiny is precisely what makes pure math such a 'long and laborious process,' acknowledged Bryna R. Kra, a mathematician at Northwestern University. 'All of math builds on previous math, so you can't really prove new things if you don't understand how to prove the old things,' she said. 'To be a research mathematician, the current practice is that you go through every step, you prove every single detail.' Lean, a software-based proof assistant, can speed up the process, but Granville said it was 'annoying, because it has its own protocols and language,' requiring programming expertise. 'We need to have a much better way of communication,' he added. Could artificial intelligence save the day? That's the hope, according to Shafto. An AI model that could reliably check proofs would save enormous amounts of time, freeing mathematicians to be more creative. 'The constancy of math coincides with the fact that we practice math more or less the same: still people standing at a chalkboard,' Shafto said. 'It's hard not to draw the correlation and say, 'Well, you know, maybe if we had better tools, that would change progress.'' AI would benefit, too, Shafto and others believe. Large language models like ChatGPT can scour the digitized storehouses of human knowledge to produce a half-convincing college essay on the Russian Revolution. But thinking through the many intricate steps of a mathematical problem remains elusive. 'I think we'll learn a lot about what the capabilities of various AI protocols are from how well we can get them to generate material that's of interest,' said Jordan S. Ellenberg, a mathematician at the University of Wisconsin-Madison who is part of a team applying for an Exponentiating Mathematics grant. 'We have no intuition yet about which problems are going to be hard and which problems are easy. We need to learn that.' One of the more disconcerting truths about artificial intelligence is that we do not entirely understand how it works. 'This lack of understanding is essentially unprecedented in the history of technology,' Dario Amodei, CEO of the artificial intelligence company Anthropic, wrote in a recent essay. Ellenberg somewhat downplayed that assertion, pointing out that electricity was widely used before its properties were fully understood. Then again, with some AI experts worrying that artificial intelligence could destroy the world, any clarity into its operations tends to be welcome. Nelson, the former White House adviser, acknowledged 'legitimate' concerns about the rapid pace at which artificial intelligence is being integrated into seemingly every sector of society. All the more reason, she argued, to have DARPA on the case. 'There's a much higher benchmark that needs to be reached than whether or not your chatbot is hallucinating if you ask it a question about Shakespeare,' she said. 'The stakes are much higher.'
