Год: 2025

TCS has announced a partnership with Norwegian research and development company SINTEF, one of Europe’s largest, independent research foundations.

Drawing on TCS’s extensive experience in deploying AI and digital solutions for clients in industries such as healthcare, energy, and smart cities, and SINTEF’s strong research capabilities, the partnership aims to create scalable, real-world innovations.

Both will focus on using Social AI to improve elderly care, building on SINTEF’s successful eHealth initiative, SMILE (Smart Inclusive Living Environments).

SMILE is a platform designed to help senior citizens live independently and safely in their own homes.

It acts as both a communication tool and a support system, connecting seniors with family members, caregivers, and even peers in their community.

By enabling easy communication, reminders and access to health services, SMILE fosters active living and social engagement.

With multidisciplinary expertise within technology, natural sciences and social sciences, SINTEF works to create innovation through development and research assignments for business and the public sector in Norway and abroad.

Alexandra Bech Gjorv, president and CEO of SINTEF, said, “Rooted in the heritage of the world-renowned Tata Group, we recognise TCS’ ambition in creating long term value for its clients, employees, and the community at large. SINTEF shares similar values, and I believe that together, we can improve the quality of life and help the elderly in Norway to be able to stay healthy, in the comfort of their homes much longer.”

What makes this initiative innovative is the use of Social AI to understand the unique needs of each individual and personalise their care, TCS said.

By combining advanced research with digital technology, the platform not only improves elderly care but also sets the stage for smarter more inclusive healthcare solutions in the future.

Sapthagiri Chapalapalli, head of Europe at TCS, said, “Together with SINTEF, the identification of specific, practical AI use cases that address real business challenges focusing into usability and human-centric approach will come full circle.”

Chapalapalli said the company’s digital technologies will add scale and speed to SINTEF’s research and innovation activities, enabling these projects to have an even greater reach and impact for society.

TCS has been operating in the Nordic region since 1991. A total of around 20,000 experts serve the company’s Norwegian, Finnish, Swedish, and Danish customers.

The post TCS Partners with Norway’s SINTEF to Harness AI for Elderly Care appeared first on Analytics India Magazine.

Anthropic has announced a $50 billion investment in US computing infrastructure, partnering with Fluidstack to build data centres in Texas and New York, with additional sites planned. The facilities are designed specifically for Anthropic’s workloads to support continued AI research and development.

The project is expected to create around 800 permanent jobs and 2,400 construction jobs, with sites scheduled to come online through 2026. It aligns with the Trump administration’s AI Action Plan, which aims to strengthen domestic AI leadership and technology infrastructure.

“We’re getting closer to AI that can accelerate scientific discovery and help solve complex problems in ways that weren’t possible before,” said Dario Amodei, CEO and co-founder of Anthropic.

“Realising that potential requires infrastructure that can support continued development at the frontier. These sites will help us build more capable AI systems that can drive those breakthroughs, while creating American jobs.”

Anthropic said its investment is aimed at meeting growing demand for its AI assistant Claude, which now serves over 300,000 business customers. The company reported that the number of large accounts—those generating over $100,000 in annual revenue—has increased nearly sevenfold in the past year.

The company selected Fluidstack for its ability to rapidly deliver large-scale power infrastructure. “Fluidstack was built for this moment,” said Gary Wu, co-founder and CEO of Fluidstack. “We’re proud to partner with frontier AI leaders like Anthropic to accelerate and deploy the infrastructure necessary to realise their vision.”

Anthropic said the investment will enable it to scale efficiently while maintaining focus on safety, alignment, and interpretability research.

Meanwhile, AWS, which is an investor in Anthropic, recently announced a $38 billion partnership with OpenAI to run and scale OpenAI’s core AI workloads on AWS infrastructure.

The deal underscores the accelerating race among leading AI companies to secure compute capacity. OpenAI’s recent partnerships with NVIDIA, AMD, and Broadcom together represent more than 26 gigawatts of capacity and potential commitments exceeding $1 trillion in total infrastructure investments.

The post Anthropic to Invest $50 Billion to Build Data Centres in the US, Create 2,400 Construction Jobs appeared first on Analytics India Magazine.

IBM launched its latest quantum processor, Quantum Nighthawk, designed to deliver circuits with 30% more complexity than previous versions. The processor, which features 120 qubits and 218 tunable couplers, is expected to be delivered to users by the end of 2025.

“There are many pillars to bringing truly useful quantum computing to the world,” said Jay Gambetta, director of IBM Research. “We believe that IBM is the only company positioned to rapidly invent and scale quantum software, hardware, fabrication and error correction.”

IBM also introduced Quantum Loon, an experimental processor that demonstrates all the hardware components required for fault-tolerant quantum computing. The company has achieved a tenfold speed-up in quantum error correction decoding using classical computing hardware, completing the milestone a year ahead of schedule.

The company announced these advancements in its quantum computing roadmap at the annual Quantum Developer Conference, introducing new processors, software updates and algorithmic breakthroughs.

The developments are aimed at achieving quantum advantage by 2026 and fault-tolerant quantum computing by 2029.

IBM stated that future versions of the Nighthawk processor will achieve up to 15,000 two-qubit gates by 2028, with verified demonstrations of quantum advantage anticipated by 2026.

In collaboration with Algorithmiq, the Flatiron Institute and BlueQubit, IBM has contributed three experiments to an open community quantum advantage tracker to verify emerging results.

Sabrina Maniscalco, CEO of Algorithmiq, said, “We are seeing promising experimental results, and independent simulations validate its classical hardness.” BlueQubit’s CTO, Hayk Tepanyan, added that their work supports “instances where quantum computers are starting to outperform classical computers by orders of magnitude.”

To support these advancements, IBM has enhanced its open-source quantum software, Qiskit. The company reported a 24% increase in accuracy using dynamic circuits and a 100-fold reduction in result extraction costs through HPC-powered error mitigation.

To accelerate quantum chip production, IBM has transitioned fabrication to a 300mm wafer facility at the Albany NanoTech Complex. The move has doubled development speed and increased chip complexity tenfold, according to IBM.

The company stated that these milestones collectively demonstrate progress toward scalable, high-fidelity quantum systems capable of addressing scientific and industrial challenges.

The post IBM Unveils Nighthawk, Loon Processors for Quantum Advantage appeared first on Analytics India Magazine.

When France’s Special Envoy for AI, Anne Bouverot, arrived in India last week, she didn’t just bring official paperwork and talking points. She brought curiosity, optimism, and a sense that France and India are about to write a new chapter in the story of global AI.

During her short yet eventful visit to Bengaluru and Delhi, Bouverot met researchers, startups, and policymakers to strengthen Indo-French cooperation ahead of next year’s AI Impact Summit in India.

“Technology becomes what we make of it,” said Bouverot, adding that AI’s future isn’t just about engineering breakthroughs but about its impact on people, society, and the planet.

“We are now moving from action to impact,” she added, saying that it’s really about understanding what impact technology will have on people’s lives in education, healthcare, commerce, agriculture, and beyond.

During her visit to Delhi, she visited the All India Institute of Medical Sciences (AIIMS), where she saw AI tools being used for early disease detection. These included systems that could identify tuberculosis and detect blindness caused by diabetes, applications she described as deeply impactful and important for society.

From Action to Impact

Bouverot has been at the heart of France’s AI strategy. She led the AI Action Summit in Paris last year, which saw participation from global leaders, including Prime Minister Narendra Modi.

Next February, it will be India’s turn to host the AI Impact Summit 2026. She revealed that French President Emmanuel Macron will be attending the summit.

The envoy’s current mission is to help India prepare for this major event. “I’m here to support the team organising the AI Impact Summit. We went through the same process last year, it was a lot of work, a lot of sleepless nights,” she laughed.

But there’s a deeper collaboration on the horizon. “In 2026, it will be the Year of Indo-French Innovation,” she added. “We’re looking forward to seeing our ecosystems, our startups, and our researchers work together even more closely.”

Balancing Innovation and Governance

Bouverot believes India is striking the right balance between innovation and regulation, a challenge every country faces in the AI era. “Every country needs to balance the innovation aspect and the regulation aspect clearly,” she said.

“I really wanted to come to Bangalore. Innovation is really buoyant here, and I think every country needs to help startups, fund them, sponsor them, and at the same time give them guidelines,” she added.

Bouverot applauded India’s latest moves in AI governance, especially the creation of a scale-up fund for startups. She said France and Europe have begun similar efforts and underlined the importance of policies that safeguard citizens.

Referring to the European model, she drew parallels. “In Europe, personal data protection is very important because of our history, because of what happened with the World Wars. Indian startups coming to Europe need to take that into account.”

She further added that they also make sure regulation is fit for purpose and doesn’t hamper innovation, adding that India is doing a very good job at that.

The Case for AI Sovereignty

France’s AI ecosystem has become a model for technological sovereignty, with homegrown successes like Mistral AI. For Bouverot, this isn’t about isolationism but strategic independence.

“No single country can do everything independently, and France cannot, and India cannot. But technological sovereignty and resilience are becoming more important everywhere,” she stressed.

“It doesn’t mean we stop using foreign technology,” she clarified. “But we need to distinguish between use cases like protecting hospital and patient data or ensuring defence systems are self-sufficient. Companies should have the choice to decide which technologies they use.”

She also pointed out how France supports data centres and compute infrastructure. “We welcome data centres because we have excess electricity and a lot of carbon-free energy, thanks to nuclear and renewables,” she said.

She said small, focused AI models that can run on mobile phones make the technology more energy-efficient and easier for people to use.

Innovation with a Soul

Bouverot recently described the Vatican as an important moral voice in the global AI debate, noting its timely involvement as AI continues to impact society.

Her association with the Vatican stems from her appreciation of the Catholic Church’s influence in shaping global discussions on AI ethics. She has often acknowledged the Church’s leadership in confronting the social and moral questions that surface with the rapid progress of AI.

In October 2025, Bouverot authored an opinion piece titled ‘The Vatican’s Voice of Reason on AI,’ published by Project Syndicate. In this piece, she acknowledged the Vatican’s thoughtful approach to AI as an important counterbalance to the technological and economic forces driving AI development, reinforcing ethical, inclusive, and human-centred principles.

“I think as human beings, curiosity drives us,” she reflected. “We like to meet new people, discover new things, that’s what attracts us to technology and innovation. But, societies and governments have a role to protect their citizens.”

As India prepares for the AI Impact Summit 2026, Bouverot’s visit marks a critical moment of reflection and partnership. France’s value-first approach to technology and India’s public good philosophy are not competing visions. They are complementary pillars of a shared AI future.

The post What IndiaAI Mission Can Learn from France appeared first on Analytics India Magazine.

Indian IT employers have long monitored their workforce, but the rise of generative AI has made surveillance more complex and controversial.

Monitoring now extends beyond keystrokes and emails to how employees use AI tools, including uploads, downloads, and application-specific activity, with outputs often undergoing human validation.

Companies frequently describe these practices in terms of “productivity” and “compliance,” leaving employees uncertain about the extent of oversight.

In the Indian IT sector, tier‑1 firms such as Infosys, TCS, Wipro, and HCLTech have implemented mature AI and GenAI governance frameworks covering hundreds of thousands of employees.

Infosys, which monitors remote work hours, GenAI tool usage, and enforces data sensitivity policies for its workforce of over 500,000, holds ISO 27001, ISO 27701, ISO 22301, ISO 42001, and SOC 2 Type II certifications.
ISO 27001 certifies that an organisation has a robust information security management system; ISO 27701 extends this to privacy management and personal data protection.
ISO 22301 ensures business continuity during disruptions; ISO 42001 governs responsible and transparent AI system management; and SOC 2 Type II attests that a company’s data security, availability, and privacy controls are operating effectively over time.

Together, these certifications demonstrate that a company follows globally recognised standards for security, privacy, and ethical AI governance, assuring clients, regulators, and employees that data is handled responsibly, risks are minimised, and compliance is continuously maintained.

TCS has trained more than 570,000 employees in generative AI, though public details of its monitoring systems remain limited.

Wipro and HCLTech maintain ISO-aligned compliance, but specifics on internal surveillance are not publicly disclosed.

Tier‑2 companies, including LTIMindtree, Persistent Systems, and LTTS, are increasingly deploying AI tools and productivity monitoring, but detailed practices are largely undisclosed.

However, Madhu K, chief information security officer at Sonata Software, told AIM that the adoption of generative AI has been accompanied by enhanced monitoring aligned with ISO 27001, ISO 27701, and SOC 2 Type II frameworks.

“Advanced Data Loss Prevention tools monitor all AI-related activity, and outputs undergo human validation to ensure accuracy, fairness, and compliance,” he said.

At Sonata Software, he said that transparency and informed consent are central: employees are notified of monitoring, safeguards comply with India’s Digital Personal Data Protection Act, European Union’s General Data Protection Regulation, and other privacy standards, and monitoring is limited to company systems while personal activity is respected.

Employee Anxiety

Globally, anxiety over data surveillance surged after Anthropic’s new policy allowed training on user chat data by default, a reminder of how even well-intentioned AI use can raise privacy concerns.

For Indian IT firms, the episode reinforced the need for stricter internal controls over employee-AI interactions.

However, workers from leading IT companies and startups said they feel uneasy under expanded scrutiny, often unclear about what data is collected or how it is used.

A mid-career developer at a major IT firm, speaking anonymously, noted that time on applications like VSCode or Chrome is closely tracked, while a Bengaluru startup employee said he avoids personal use of her office laptop out of privacy concerns.

Digital oversight now extends beyond traditional keystroke and network monitoring.

Tools like Sapience, ProHance, Hubstaff, WorkComposer, WorkForce Next, MaxelTracker, and We360.ai are used across the sector, with tier‑1 firms mostly relying on proprietary internal systems integrated with cybersecurity and AI governance frameworks, while tier‑2 and smaller companies often deploy commercial solutions.

AI enhances these systems by flagging suspicious activity, blocking sensitive uploads, and monitoring unapproved AI usage.

The Indian employee monitoring solutions market is estimated at $33.42 million in 2025, growing at a 12.5% CAGR.

Balancing Security and Privacy

Legal experts caution that AI monitoring can blur the line between protecting company data and intrusive surveillance.

Rohit Lalwani and Mridusha Guha from law firm AMLEGALS said, “Organisations are using a multifaceted strategy centred on technology, purpose, and policy, but AI surveillance is often continuous, automatic, and opaque, creating the impression of constant evaluation.”

Risks include erosion of psychological safety, burnout, and mistrust.

While the Digital Personal Data Protection Act, 2023, provides a baseline, issues like algorithmic transparency, bias auditing, and human oversight are not explicitly regulated, highlighting a gap in current laws.

Industry leaders acknowledge the need to balance security with privacy.

Neeti Sharma, CEO of TeamLease Digital, said firms are anonymising logs, restricting access, and limiting data retention.

M Chockalingam, director of technology at Nasscom AI, noted that generative AI has expanded monitoring, and the industry body is working with member firms to raise employee awareness.

Wipro, Infosys, TCS, Cognizant, LTTS, Coforge, Persistent, and Firstsource declined to comment on their surveillance policies.

The post Indian IT Firms Tighten Surveillance as GenAI Takes Hold appeared first on Analytics India Magazine.

Voice AI company ElevenLabs has launched Scribe v2 Realtime, its most advanced Speech-to-Text model designed to deliver human-quality live transcription in under 150 milliseconds. The model supports more than 90 languages, including 11 Indian ones such as Hindi, Tamil, Malayalam, Kannada, Telugu, and Gujarati.

The company said the model achieves 93.5% accuracy on the FLEURS benchmark across 30 European and Asian languages, setting a new standard for real-time multilingual communication. Scribe v2 Realtime is aimed at developers and enterprises building voice assistants, meeting tools, and live captioning applications.

According to ElevenLabs, the model features negative latency prediction, text conditioning, voice activity detection (VAD), and manual commit controls for enhanced streaming performance.

Enterprise applications range from customer call transcription and compliance monitoring to medical dictation, real-time meeting notes, and accessibility captions for education and media.

In India, ElevenLabs has enabled data residency options to comply with local data regulations. The model also integrates with ElevenLabs Agents, allowing developers to create more natural conversational systems for support and sales workflows.

Key features include ultra-low latency live transcription, next-word and punctuation prediction, domain-specific custom vocabulary, and zero-retention mode for sensitive workloads. It also offers speaker diarisation, timestamp precision, and full enterprise compliance with Indian and global standards.

Scribe v2 Realtime is available today through the ElevenLabs API and can be directly deployed within ElevenLabs Agents.

ElevenLabs also recently launched Chat Mode, a text-only feature for its conversational agents, expanding beyond voice-first AI.

The company also deepened its move into AI-generated music through licensed partnerships with Merlin Network and Kobalt Music Group, ensuring copyright-safe content for creators in film, gaming, and wellness industries.

The post From Kannada to Hindi, ElevenLabs’ Scribe v2 Transcribes in Real Time appeared first on Analytics India Magazine.

2025 wasn’t just the year of smarter reasoning models and AI agents; it was also the year AI became pop culture. CEOs tweeted poetry, engineers dropped equations like mic drops, and Indian founders clapped back with a single emoji. Every week brought a post that shifted how people talked, coded or argued about AI.

Here are the 12 moments that ruled timelines and shaped the year.

Jensen Huang’s Reality Check

“You’re not going to lose your job to AI. You’re going to lose your job to someone who uses AI.”

At NVIDIA’s GPU Technology Conference, CEO Jensen Huang didn’t just talk about chips. He delivered a one-liner that defined the year’s work anxiety. The line hit X, and millions of people flipped with fear. AI wasn’t the villain; complacency was. Huang’s message became a motivational wallpaper for every LinkedIn hustler and AI learner.

"You will not lose your job to AI; you will lose your job to someone using AI."
— Jensen Huang, CEO of Nvidia pic.twitter.com/LJPaZ9Caaw

— Russell Sarder (@RussellSarder) February 1, 2025

Sam Altman’s 6 Words of Chaos

“Near the singularity; unclear which side.”

OpenAI CEO Sam Altman began the year with a cryptic tweet that read like a sci-fi prophecy. Philosophers, engineers and meme pages spent weeks trying to decode whether he was being serious or smug. Some called it reckless; others called it genius. Either way, he won the internet’s attention on January 1—and set the tone for a year where nobody could tell if we were approaching AGI or just overanalysing it.

i always wanted to write a six-word story. here it is:
___
near the singularity; unclear which side.

— Sam Altman (@sama) January 4, 2025

Andrej Karpathy’s ‘Vibe Coding’ Revolution

“There’s a new kind of coding I call ‘vibe coding’… I barely touch the keyboard.”

OpenAI co-founder Andrej Karpathy’s tweet about coding by talking to AI models lit up developer circles. Within days, ‘vibe coding’ became a global meme and a serious conversation starter. It redefined what coding could mean when AI handles most of the syntax. So much so that some companies started doing vibe coding hackathons and even creating prototypes. For some, it was liberation. For others, it was sacrilege. Either way, Karpathy made “vibes” a legitimate workflow.

There's a new kind of coding I call "vibe coding", where you fully give in to the vibes, embrace exponentials, and forget that the code even exists. It's possible because the LLMs (e.g. Cursor Composer w Sonnet) are getting too good. Also I just talk to Composer with SuperWhisper…

— Andrej Karpathy (@karpathy) February 2, 2025

Eric Zhao’s Fourth Scaling Law

“By just randomly sampling 200 responses and self-verifying, Gemini 1.5 beats o1-preview. No finetuning. No RL.”

With one tweet, Google researcher Eric Zhao claimed a breakthrough: that models could “reason” better just by checking their own work many times. The post went viral in AI research circles, proposing a fourth scaling law—inference-time search. It showed that more data or compute weren’t the only ways to improve intelligence. Sometimes, better self-checking beats bigger size.

Thinking for longer (e.g. o1) is only one of many axes of test-time compute. In a new @Google_AI paper, we instead focus on scaling the search axis. By just randomly sampling 200x & self-verifying, Gemini 1.5 o1 performance. The secret: self-verification is easier at scale! pic.twitter.com/xmMpBsBkTs

— Eric Zhao (@ericzhao28) March 17, 2025

Yann LeCun’s Open-Source Manifesto

Meta chief AI scientist, Yann LeCun, didn’t tweet fluff. His post declaring that “open innovation will outpace closed systems” became gospel for the open-source movement. Coming from Meta’s chief AI scientist, it hit differently. He argued that AI’s future couldn’t belong to a few corporations controlling everyone’s information diet. That line turned open-source LLMs from hobby projects into a global movement—and gave moral weight to the engineers behind them.

To people who think
"China is surpassing the US in AI"
the correct thought is
"Open source models are surpassing closed ones"
See

— Yann LeCun (@ylecun) January 25, 2025

Yann LeCun’s Open-Source Manifesto

Speaking at a session at the World Economic Forum in Davos, LeCun predicted “a new paradigm shift of AI architectures”. He said that the AI we know right now, which is generative AI and LLMs, are not capable of much. They get the basics done but still fall short. And in the next five years, “nobody in their right mind would use them anymore”.

“I think the shelf life of the current [AI] paradigm is fairly short, probably three to five years,” LeCun added. LeCun also predicted that the coming years could be the “decade of robotics”, where advances in AI and robotics combine to unlock a new class of intelligent applications.

This thought is converging from many sides.
Transformer based LLMs are not going take us to human level AI.
That famous Yann LeCun interview.
"We are not going to get to human level AI by just scaling up MLMs. This is just not going to happen. There's no way. Okay, absolutely… https://t.co/c62t4m5v1h pic.twitter.com/ZWgI68uWg8

— Rohan Paul (@rohanpaul_ai) November 1, 2025

Deedy Das vs Sarvam AI

“India’s biggest AI startup launched a 24B Indic model with 23 downloads. Two Korean students trained one that did 200,000. Embarrassing.”

Deedy Das, an investor at Menlo Ventures, didn’t hold back. His post tore into India’s top-funded AI startup, questioning whether patriotism was being used to mask mediocrity. The debate that followed was loud, angry and necessary. Founders defended, researchers debated, and users laughed—but Das’s point landed: good tech isn’t enough if nobody actually needs it.

India's biggest AI startup, $1B Sarvam, just launched its flagship LLM.
It's a 24B Mistral small post trained on Indic data with a mere 23 downloads 2 days after launch.
In contrast, 2 Korean college trained an open-source model that did ~200k last month.
Embarrassing. pic.twitter.com/IWppTEYwtJ

— Deedy (@deedydas) May 24, 2025

Anthropic’s ‘AI Microscope’ Revelation

Anthropic researchers dropped a thread revealing that Claude “plans ahead” before writing—but sometimes fakes reasoning altogether. The finding shocked people who thought AI models truly “think”. One line stood out: “Claude claims to have run a calculation. We found no evidence it did.”

It was the year’s most humbling discovery—proof that even the smartest models sometimes just make things up. The post pushed AI safety and interpretability to the centre of the conversation.

This is a beautiful paper by Anthropic!
My intuition: neural networks are voting networks.
Imagine millions of entities voting: "In my incoming information, I detect this feature to be present with this strength".
Aggregate a pyramid of votes to add up to output features. pic.twitter.com/vNfVpeOn3i

— Paras Chopra (@paraschopra) March 28, 2025

Apple’s ‘Illusion of Thinking’ Debate

Apple’s research team claimed that ‘Large Reasoning Models’ don’t really reason; they just simulate it. Critics fired back with a counter-paper titled ‘The Illusion of the Illusion of Thinking’. The debate spread across X and academic blogs, becoming the nerdiest flame war of the year. It forced everyone to ask what “thinking” even means in machines—and why we keep insisting they’re doing it.

The Illusion of Thinking in LLMs
Apple researchers discuss the strengths and limitations of reasoning models.
Apparently, reasoning models "collapse" beyond certain task complexities.
Lots of important insights on this one. (bookmark it!)
Here are my notes: pic.twitter.com/Ct1a7LpvqO

— elvis (@omarsar0) June 7, 2025

The post The 9 Viral AI Posts of 2025 appeared first on Analytics India Magazine.

Robotics and automation company Addverb has partnered with leading academic institutions, including IITs, NAMTECH, and NIIT Neemrana in Rajasthan, to strengthen India’s robotics innovation ecosystem.

The collaboration will see the creation of Centres of Excellence (CoEs) focused on robotics, automation, and smart technologies. The initiative aims to bridge the gap between industry and academia by offering hands-on experience in automation systems used across the manufacturing and warehousing sectors.

The CoEs will feature collaborative robots, autonomous mobile robots, automated guided vehicles, and Addverb’s quadruped robot, Trakr.

Addverb’s CEO and co-founder, Sangeet Kumar, said, “At Addverb, we believe that innovation thrives when academia and industry collaborate closely. These partnerships aim to prepare the next generation of engineers for the evolving world of robotics.”

These facilities, set up at subsidised costs, will serve as platforms for research, skill development, and IP creation. Students will also have opportunities for internships, workshops, and capstone projects led by Addverb professionals.

As part of the initiative, Addverb will also support student-led innovation projects, mentorship programmes, and robotics awareness campaigns in schools to promote STEM learning. The company will also collaborate with Special Interest Groups (SIGs) to expand India’s technology talent pool.

The company’s open innovation platform, AddverbAI, will make select codebases available to researchers and developers. Addverb reported that students from IIT Gandhinagar recently presented research papers at international robotics conferences in South Korea as an early outcome of the programme.

Founded in 2016, Addverb designs and manufactures automation solutions for warehouses and industries, serving clients such as Unilever, Nestlé, ITC, and DHL. Through this partnership, the company aims to build a skilled, future-ready workforce and contribute to India’s position as a global hub for robotics innovation.

The post Addverb Joins IITs, Other Top Institutes for Robotics Education in India appeared first on Analytics India Magazine.

IIT Madras-backed AI4Bharat has launched the Indic LLM Arena, a crowd-sourced platform to evaluate global LLMs built for Indian users. The leaderboard aims to set a standard for how AI systems understand, respond, and behave across India’s many languages and cultural contexts.

Existing global leaderboards are largely English-centric, often ignoring how models perform on Indian languages or code-mixed inputs such as Hinglish or Tanglish. The Indic LLM Arena fills that gap by testing AI models across three pillars—language, context, and safety.

It measures whether a model can understand how Indians speak and switch languages, whether it can respond appropriately in local contexts, and whether it adheres to India’s social sensitivities and fairness norms.

https://twitter.com/ai4bharat/status/1987873121689334031

The initiative comes as India accelerates its sovereign AI efforts under the IndiaAI Mission. AI4Bharat hopes the leaderboard will serve as a trusted benchmark to assess the quality and readiness of domestic and international LLMs for Indian use cases.

The platform uses a human-in-the-loop system. Users can type, speak, or transliterate prompts in Indian languages, receive responses from two anonymous AI models, and choose which one performs better. Thousands of such human votes will feed into statistically robust rankings, helping identify the most effective LLMs for India.

AI4Bharat says the Arena is not just a leaderboard but a “public utility” for the country’s AI ecosystem. Developers can benchmark and refine Indic models, enterprises can select the best-fit AI for their needs, and users can help define what “good” AI should look like for India.

The team plans to expand the platform to evaluate multimodal models—those that handle text, images, and audio—as well as agentic tasks like search, document reading, and tool use. Everything, they say, will remain open-source.

The project was supported by Google Cloud during its initial phase. Users can try the platform at arena.ai4bharat.org.

AI researcher and founder of CognitiveLabs, Adithya S K, praised the effort, saying, “The UX is spot on and I had the best Kannada typing experience. These are the sort of efforts labs in India should be doing more across domains.”

The post AI4Bharat Launches ‘Indic LLM Arena’ to Benchmark AI Models for Indian Languages appeared first on Analytics India Magazine.

Collins Aerospace, a business unit of RTX (aerospace and defence company), has opened a 26-acre manufacturing facility at the KIADB Aerospace Park in Bengaluru. The new Collins India Operations Centre (CIOC) aims to enhance the company’s manufacturing capabilities for advanced aerospace products serving global markets.

The facility will produce seats, lighting and cargo systems, temperature sensors, communication and navigation systems, water solutions, and evacuation slides.

Roy Gullickson, senior vice president of operations at Collins Aerospace, said, “The CIOC will drive operations and manufacturing for more than 70 Collins products, enhancing worldwide service transformation and delivering operational excellence.”

The site will use technologies such as AI, additive manufacturing and robotics. It features an Industry 4.0 building management system to improve the speed and quality of production.

The centre, certified LEED Silver and Indian Green Building Council Silver, is expected to employ over 2,200 people by 2026.

Collins Aerospace has been operating in India for nearly 30 years, with over 6,500 employees across engineering, manufacturing, and supply chain functions. Earlier this year, the company announced an investment in a new engineering development and test centre in Bengaluru.

This new facility strengthens Collins Aerospace’s global manufacturing base and supports its growth strategy in India. The company continues to invest in sustainable technologies and local innovation to serve aerospace and defence customers worldwide.

The post Collins Aerospace Opens New Manufacturing Facility in Bengaluru appeared first on Analytics India Magazine.