Latest news with #Naveen
Hindustan Times
11 hours ago
- Hindustan Times
Punjab: Police solve blind murder case within 24 hours; victim's cousin among held
Hoshiarpur , Police on Friday claimed to have solved a blind murder case in Hoshiarpur district within 24 hours by arresting the main accused and two others involved in supplying the weapon used in the crime. Aryan , a resident of Sehwan village in the district, was shot dead around 11 pm on June 18 near Shahpur Ghata village. He was attacked by unidentified assailants while returning from Ludhiana along with his maternal cousin, Naveen Kumar, of Kokowal Mazari village, in a car. The two had gone there to purchase garments for their shop at Jhuggian village. A blind murder case refers to a murder where there are no direct eyewitnesses. During the investigation, Naveen emerged as the prime suspect, Senior Superintendent of Police Sandeep Kumar Malik said in a press conference. Naveen had initially told the police that they had stopped briefly as he felt sick and had stepped out of the car to vomit. At that moment, three masked men on a motorcycle allegedly opened fire at Aryan, who was seated inside the vehicle, hitting him in the head and chest. The assailants fled immediately after the attack. An FIR was registered in this connection. A special investigation team led by Superintendent of Police Mukesh Kumar was formed to crack the case. During the probe, it was revealed that Naveen, who runs a ready-made garments shop in Jhuggian, had employed Aryan; however, the latter had reportedly planned to open a shop nearby. This created tension between the two as Naveen feared losing business and customers. Police said Naveen lured Aryan to a deserted stretch near Shahpur Ghata and shot him twice, in the head and chest, using an illegally procured .32 bore country-made pistol. The pistol was allegedly procured from Gurmukh and his brother Gurdeep, both residents of Mehindwani village. Police recovered the pistol, along with one live and one spent cartridge, and the Swift car used by Naveen. Subsequently, Gurmukh and Gurdeep were also arrested for supplying the weapon, and the car used to deliver the pistol to Naveen was also recovered, the SSP said. All three accused were being produced before a court to obtain police remand. Further interrogation is underway, SSP Malik added.
The Hindu
4 days ago
- Business
- The Hindu
‘AI hallucinations are hard to remove completely': Naveen Rao, VP of AI, Databricks
Data and analytics firm Databricks was primed to ride the AI wave as data platform is crucial to train models. The company pioneered 'lakehouse architecture', an open data management system that combines flexibility, cost efficiency and scalability. Post a $10 billion funding round in December that valued the company at $62 billion, the AI company is being keenly watched by investors. But with the dramatic rise in valuations of AI firms comes the pressure to sell AI tools. In an exclusive interaction with The Hindu, Naveen Rao, VP of AI at Databricks, shared about the enterprise AI market, the AGI moment, and the hype around AI agents. THB: AI adoption is in full swing even as hallucinations persist. Why is this the case? Naveen Rao: There are a few reasons. We've gotten more mature on what our application areas are for AI. Basically, we have figured out the use cases where we can tolerate some error. Initially, people tried to apply them to all kinds of areas where precision was required which was a mistake. Secondly, we are adding value in these areas so the models have actually gotten better. When you put information into context either through retrieval or just entering all the required context into the prompt, we see less hallucinations. The models adhere to the information in the prompts with higher fidelity. Over time, we'll continue to work at driving down hallucinations. There can be other checks and balances like having another model judge whether the output is good. That gives us higher precision — it's not 100% but in many cases it's approaching north of 90 — 95% accuracy. But hallucinations are intrinsic to these AI models because LLMs are probabilistic, right? It's an auto regressive, next token prediction. So, it's very hard to remove completely. THB: Databricks recently announced a $ 100 million partnership with Anthropic. How will this play out in the agentic AI market? Naveen: We can't have AI agents in companies because there are errors, especially when they're doing multi-step tasks. I do think AI agents are definitely hyped. The definition of an AI agent has shifted to fit the narrative. The original intent of the word was to describe an entity that has agency meaning it can act completely on its own. Now, it has evolved into multi-part systems where multiple LLMs work together to solve a task that usually makes humans faster or more efficient. Even if AI agents were perfectly behaved, we don't want something that can act completely on its own with no governance. We have built this into Databricks' governance layer for data extended to GenAI. So, whenever an AI agent is built, it has certain access rights and entitlements and it can't go willy-nilly everywhere. In the coming years, as we start to solve these problems, things will become reliable and accurate. THB: Can we attain AGI with the current level of LLM advances? Naveen: I mean, whether it's a route to AGI or not will be seen in the technology itself. I personally don't think it is. I don't think that autoregressive loss is the right way to make something that can truly understand causation in a system. Humans learn in a different way. We learn by coming up with a mechanistic understanding of how we can solve a task. So, one thing leads to another thing then another. When I want to solve the same task again, I have a sense of the inputs that cause the causation to the next state. LLMs don't do this. Maybe we'll get there, but the current paradigm of very large pre-training on a huge corpus of unstructured data and then doing some sort of reinforcement learning to modify its behaviour is not what will lead to something that can truly act on its own. THB: So, you don't believe that AGI is just around the corner? Naveen: No, I think it's a much harder problem than a lot of people want to give it credit for and we are not at a point where we're close. Yes, we have made huge progress towards autonomous systems that can understand natural language. LLMs have solved natural language, which is a big thing. I don't want to minimize what's been done or their economic impact — LLMs are very useful tools. THB: How do you compare enterprise AI against the consumer AI market? Do you find it easier to navigate? Naveen: Enterprises tend to be slower to adopt. They're generally very rational actors, whereas consumers are somewhat irrational. That makes it harder to go after consumer, because it's hard to understand exactly why they're going to buy. Over time the enterprise market will be bigger than the consumer market, I believe. There are really only a few different product surfaces. Search tools is a big one in the consumer segment, like Perplexity or ChatGPT. Image generation and others are really mostly for fun. But I don't know how much people pay for fun. Usually, the novelty wears off unless they're used for business purposes. Whereas in enterprises we see companies really trying to look for an ROI so they're willing to invest a lot because it means something about the company versus their competitors. THB: What is AI's killer app now? Naveen: Right now, it's coding. AI tools tend to be effective when they're structured or their output is easily measured. With writing code, you can tell if the code complies pretty easily. Although coding agents hallucinate a lot but most of it is still useful. THB: What do you think about the view that students should stop studying software engineering? Naveen: I don't agree with it — someone has to understand how these systems work. Even if code generation is automated, it doesn't mean that the physics of writing software goes away. Somebody will still have to work with the code and check it. We have to understand the basics. I think it's a very poor advice to say we should stop studying computer science altogether.
Time of India
4 days ago
- Time of India
Man held after encounter for killing DM's driver's daughter in Hathras
Agra: A 32-year-old man was arrested following an encounter in Hathras on Monday, two days after he and an accomplice allegedly shot and killed a 22-year-old woman over a domestic dispute. The victim, Kalpita Sharma, was the daughter of Rakesh Kumar Sharma, driver of Hathras district magistrate Rahul Pandey. Kalpita was gunned down near Sadar Tehsil Gate on Saturday by Naveen and Gulshan while returning home from the market with her mother. Police said that in a joint operation by the SOG and Hathras Police, Naveen was injured in an exchange of fire in the Kotwali Hathras Gate area and later admitted to the district hospital. A country-made pistol and live cartridges were recovered from him. His accomplice, Gulshan Bharadwaj, is still on the run. SSP Chiranjeev Nath Sinha said five teams were formed under the supervision of the Additional SP and CO City to crack the case. Acting on a tip-off that Naveen was planning to flee the district, the teams tried to intercept him. "Naveen opened fire at the police and tried to escape. When he fired again, the police returned fire in self-defence and injured him," Sinha said. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Memperdagangkan CFD Emas dengan salah satu spread terendah? IC Markets Mendaftar Undo During questioning, Naveen confessed that he and Gulshan were responsible for Kalpita's murder. Police said a domestic dispute between the two families led to the killing. An FIR was registered at the Hathras Gate Police Station under Section 103(1) (murder) of the BNS and relevant provisions of the Arms Act. The investigation is ongoing.
Hindustan Times
6 days ago
- Health
- Hindustan Times
NEET-UG result 2025: Keshav Mittal from Punjab's Tapa town secures AIR 7
Keshav Mittal, 17, from Tapa town in Punjab's Barnala district secured all-India rank (AIR) 7 in the National Eligibility-cum-Entrance Test (NEET) UG, scoring 680 marks out of a total of 720, the National Testing Agency (NTA) announced on Saturday. This was his first attempt at the medical entrance exam that the NTA conducts every year and he has emerged as the highest scorer from Punjab. Keshav, who studied at DM Public Senior Secondary School, Karar Wala, Bathinda district, undertook coaching at a private institute in Chandigarh, where he maintained a study routine of eight to nine hours daily. His father, Dr Prabodh Mittal, is a homeopathic doctor in Tapa, while his mother, Sunita, is a homemaker. 'We were expecting he would be in the first 100, but Keshav has scored beyond our expectations to make it to the top 10. He will study in one of the best institutes in the country. He ensured adequate sleep and limited smartphone use to about 30 minutes a day,' his father said. Consistency and focus mantra for my success: Sameer Mohammad Sameer, who wants to study at AIIMS and specialise in neurology said he balanced his NEET preparation with 8–10 hours of intensive study daily. Apart from NEET, Sameer also secured 98.15 percentile in JEE (Main). He scored 662 marks out of 720. A student of Delhi Public School, Patiala, Sameer credits his success to staying optimistic and consistently following the guidance of his teachers. 'Family has been my biggest inspiration,' he said. His father, Sabar Mohammad, runs a chemist shop in Malerkotla and his mother, Seema, is a homemaker. 'My goal was always clear. I wanted to study at AIIMS, and that dream kept me going,' he said. IPL helped me relax during study breaks: Samana's Naveen A student of Delhi Public School, Patiala, Naveen secured 49th rank scoring 655 marks out of 720. 'My focused and disciplined approach helped me achieve this rank,' Naveen said adding that during his 8-10 hours daily study routine, he focused on 'quality over quantity.' His mother is a government school teacher in Samana, and his father, Dalip Mittal, works in the treasury department. Naveen shared that cricket was his favourite pastime and watching IPL matches helped him relax during study breaks. Rajasthan's Mahesh Kumar topped the exam, while Madhya Pradesh's Utkarsh Awadhiya bagged the second rank. More than 12.36 lakh candidates out of 22.09 lakh test takers qualified the exam. The number is down from last year's 13.15 lakh qualifying candidates. However, the number of test takers was also higher last year at over 23.33 lakh. The maximum qualifying candidates are from Uttar Pradesh (over 1.7 lakh), followed by Maharashtra (over 1.25 lakh) and Rajasthan (over 1.19 lakh). The National Eligibility-cum-Entrance Test-Undergraduate (NEET-UG) is the largest entrance exam in the country in terms of the number of candidates appearing for the test. A total of 1,08,000 seats are available for the MBSS course — approximately 56,000 in government hospitals and about 52,000 in private colleges. Admissions to undergraduate courses in dentistry, Ayurveda, Unani and Siddha also utilise NEET results for admission. (WITH INPUTS FROM HTC, PATIALA)
New Indian Express
12-06-2025
- Entertainment
- New Indian Express
Naveen Reddy: I believe emotion is bigger than action
Naveen Reddy B may be just one film old as a director—with Khaki marking his debut—but he brings over 20 years of experience in the Kannada film industry. Now, with his second film Maadeva set to release on June 6, he hopes this marks a defining moment in his journey: from an assistant director working behind the scenes to a storyteller confidently bringing his own vision to the screen. 'I've worked with many directors and across all kinds of films,' says Naveen. 'Luck and time need to meet. Until then, you evolve.' Unlike Khaki, Naveen has written the story of Maadeva himself. The film follows the life of a hangman, portrayed by Vinod Prabhakar, but according to the director, it is not about the technicalities of capital punishment. 'It's not about procedures. It's about the hangman's emotional life—his family, his struggles, his connection with society. It's brutal, yes, but also deeply human,' Naveen explains. Vinod, known for his image as an action star, has been given a multi-dimensional role in this film. 'I believe emotion is universal—bigger than action. In the last 40 minutes, audiences won't see Vinod Prabhakar—they'll see Maadeva,' he says confidently. Each actor was cast with intent. Sonal Monteiro plays a layered female lead, while Srinagar Kitty, Shruti, and Malashree bring complex shades to their characters. 'Shruti was surprised I approached her for a negative role. Malashree has a pivotal part that involves action. Even Cockroach Sudhir, though his screen time is brief, plays a vital role.' Vinod's physical transformation was meticulously crafted, including wearing lenses throughout the shoot. 'That alone was a challenge—shooting day after day with lenses. But it helped to show a completely different side of him.' Maadeva releases alongside Kamal Haasan's Thug Life, but Naveen remains unfazed. 'Yes, Kamal sir has a huge fan base, but in the end, it's about the story. Today, there's a shortage of strong Kannada films. Audiences are eager for meaningful local cinema. I believe they'll judge us fairly on the first day, first show.' Maadeva has stunt direction by Different Danny, Real Satish, and Vikram More, cinematography by Balakrishna Thota, editing by Vijay M. Kumar; and art direction by Guna.
