The numbers paint a vivid picture: TCS achieved a 1.35% growth in net profit for the full year, and Tech Mahindra celebrated a 16% profit increase for Q4 alongside a 13.15% growth for the year. In contrast, Wipro struggled with a mere 0.47% growth in net profit.

This duality stems from the transformative influence of artificial intelligence on traditional IT services. As companies pivot towards AI-driven solutions, they uncover new revenue opportunities while simultaneously grappling with the erosion of conventional service revenues.

“AI is creating new revenue opportunities while impacting traditional IT service revenues,” an industry observer noted, encapsulating the current dilemma faced by these firms. Clients are increasingly prioritizing results and project scale in their IT service purchases—an evolution that demands agility and innovation.

The historical context is essential: India’s IT sector has long been a cornerstone of its economy, yet it now stands at a crossroads as it adapts to rapid technological advancements. The challenge lies not just in maintaining profitability but also in reimagining business models to thrive amid change.

As these giants continue to report their quarterly results, stakeholders watch closely for signs of recovery or further decline. The next few quarters will be critical as firms recalibrate strategies and align offerings with client expectations.

The market remains cautious; officials have not disclosed specific timelines for expected improvements or strategic pivots among these companies. What remains clear is that the advent of AI is reshaping the financial landscape of India’s IT sector.

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In a landmark achievement for both Dr. Zarak Bhat and NIT Srinagar, Dr. Bhat has secured a position as a Postdoctoral Researcher at the prestigious University of Edinburgh. This appointment not only underscores her personal success but also highlights the increasing international recognition of advanced semiconductor research emerging from NIT Srinagar.

Dr. Zarak Bhat, who is celebrated as the first PhD scholar from the Nanoelectronics Research and Development Group at NIT Srinagar, completed her doctoral studies under the guidance of Dr. Sheikh Aamir Ahsan. Her research has been pivotal in integrating artificial intelligence into electron device design workflows, a field that is rapidly evolving and holds great promise for the future of technology.

During her PhD, Dr. Zarak focused on developing power Gallium Nitride (GaN) models, contributing significantly to the NITSRI-GaN modeling framework. Her findings, which were published in the esteemed IEEE Transactions on Electron Devices, aim to enhance productivity in semiconductor innovation, a critical area for technological advancement.

Dr. Ahsan expressed immense pride in Dr. Zarak’s accomplishment, stating, “It is always rewarding to see students grow and take on new challenges at leading global institutions.” This sentiment reflects the nurturing environment at NIT Srinagar, which has fostered talent capable of competing on an international stage.

Prof. Binod Kumar Kanaujia also congratulated Dr. Zarak and Dr. Ahsan, emphasizing that “Dr. Zarak’s selection at a prestigious global institution reflects the high academic standards and research excellence nurtured at NIT Srinagar.” This recognition serves as an inspiration for current and future students of the institution.

Dr. Zarak’s journey is not just a personal milestone; it represents a significant step forward for NIT Srinagar in the realm of semiconductor research. As the institution continues to produce scholars who excel globally, it reinforces its reputation as a breeding ground for innovation and excellence.

As Dr. Bhat embarks on this new chapter at the University of Edinburgh, the academic community eagerly anticipates the contributions she will make in the field of semiconductor research. Details remain unconfirmed regarding her specific projects at the university, but the potential for groundbreaking work is palpable.

With her appointment, Dr. Zarak Bhat stands as a testament to the capabilities fostered at NIT Srinagar, paving the way for future scholars to follow in her footsteps and make their mark on the global stage.

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On April 2, 2026, the tech world was abuzz with excitement as Google unveiled Gemma 4, a new generation of open AI models designed to revolutionize the landscape of artificial intelligence. This latest iteration is built on the same robust research and technological foundation as its predecessor, Gemini 3, and is released under the Apache license 2.0, making it accessible for developers worldwide.

Gemma 4 comes in four distinct sizes: Effective 2B (E2B), Effective 4B (E4B), 26B Mixture of Experts (MoE), and a formidable 31B Dense model. This variety allows developers to choose the model that best suits their needs, whether for lightweight applications or more complex tasks requiring substantial computational power. Google emphasized that these models are not just about size; they are engineered to handle multi-step planning and deep logic, pushing the boundaries of what AI can achieve.

One of the standout features of Gemma 4 is its ability to support code generation and natively process images and video, marking a significant advancement in AI capabilities. The edge models boast an impressive 128K context window, while the larger models can handle up to 256K context, enabling them to manage more extensive data inputs and deliver more nuanced outputs.

Since the launch of its first generation, Gemma has been downloaded over 400 million times, a testament to its popularity and utility among developers. Google stated, “They complement our Gemini models, giving developers the industry’s most powerful combination of both open and proprietary tools.” This sentiment reflects the company’s commitment to providing robust resources for the growing AI community.

In a remarkable display of agility, ZetaChain integrated Google’s Gemma 4 AI model within just one day of its official release. This swift integration allows smart contracts and decentralized applications to leverage the sophisticated reasoning and generation capabilities of Gemma 4, signaling a significant acceleration in the convergence of advanced artificial intelligence and Web3 infrastructure. As one observer noted, “This rapid integration into ZetaChain’s proprietary Anuma AI layer signals a significant acceleration in the convergence of advanced artificial intelligence and Web3 infrastructure.”

AMD also made headlines by announcing Day One support for Google’s Gemma 4 models across its Radeon GPUs, Instinct datacenter GPUs, and Ryzen AI CPUs. This commitment from AMD ensures that developers have access to powerful hardware capable of maximizing the performance of Gemma 4, further enhancing its appeal and usability.

Gemma 4 is natively trained on more than 140 languages, making it a versatile tool for global developers. The benchmark scores achieved by Gemma 4 are competitive with models that have vastly more parameters, demonstrating that efficiency does not come at the cost of performance. This combination of features positions Gemma 4 as a leading choice for developers looking to build autonomous agents that can interact with tools and application programming interfaces.

As the AI landscape continues to evolve, the introduction of Gemma 4 marks a pivotal moment for both developers and end-users. The implications of this release extend beyond mere technological advancement; it represents a strategic effort by Google to empower developers with powerful, efficient AI tools that can drive innovation across various sectors. With the rapid integration into platforms like ZetaChain and support from major hardware providers like AMD, Gemma 4 is set to redefine the possibilities of artificial intelligence in the coming years.

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As the tech world buzzed with anticipation, Google DeepMind unveiled its latest innovation, Gemma 4, a family of state-of-the-art open models designed to push the boundaries of artificial intelligence. This groundbreaking launch took place in late 2023, marking a significant milestone in the evolution of AI technology.

Gemma 4 stands out with its impressive support for over 140 languages, making it a versatile tool for developers and users worldwide. The models are available under the Apache 2.0 license, ensuring accessibility and fostering innovation across various sectors.

Equipped with capabilities such as multi-step planning, autonomous action, and offline code generation, Gemma 4 is not just another AI model; it is a comprehensive solution for modern computing needs. The technology enables high-quality offline code generation, allowing developers to transform their workstations into local-first AI code assistants.

One of the standout features of Gemma 4 is its 128K context window, which facilitates the processing of long-form content, a crucial aspect for applications requiring deep understanding and context retention. Additionally, the E2B and E4B models support native audio input for speech recognition, enhancing user interaction and accessibility.

Performance metrics reveal that Gemma 4 can achieve a remarkable prefill throughput of 133 tokens per second on devices like the Raspberry Pi 5, showcasing its efficiency and adaptability across various hardware platforms. This capability is particularly significant as it allows for seamless integration into mobile, desktop, IoT, and robotics applications.

With models optimized for efficient fine-tuning on billions of Android devices and developer workstations, Gemma 4 includes versions with 26B and 31B parameters, specifically tailored to meet diverse computational needs. This strategic sizing is aimed at powering the next generation of pioneering research and products.

The excitement surrounding Gemma 4 is palpable, with developers eager to explore its potential. “The era of agentic experiences on-device is here, and we hope you are excited to start building on the edge,” a spokesperson from Google DeepMind remarked, encapsulating the enthusiasm of the tech community.

As Gemma 4 continues to gain traction, it represents a significant leap forward in AI technology, promising to enhance user experiences and drive innovation across industries. The implications of this development are profound, as it empowers developers to create autonomous agents capable of interacting with various tools and APIs.

In summary, Gemma 4 AI is not just a technological advancement; it is a catalyst for a new era of AI applications, making powerful, accessible, and open intelligence a reality for users everywhere. As the landscape of artificial intelligence evolves, the impact of Gemma 4 will undoubtedly be felt for years to come.

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The European Union is set to take a lighter stance on the regulation of artificial intelligence, a move that could significantly impact the tech landscape and the rights of users. This shift brings the EU closer to the regulatory approach generally favored by the United States, which has long been criticized for its more permissive environment for tech companies.

Big Tech firms have expressed support for the EU’s deregulatory proposal, which entails a weakening of tech users’ rights. This change comes at a time when Europe’s share of global high-tech R&D expenditure has been in decline. In 2003, Europe accounted for 22% of this expenditure, while the US held a dominant 55%. By 2013, Europe’s share had dropped to 18%, with the US at 53%.

From 2013 to 2024, private AI investment has totalled a staggering $471 billion in the US, compared to $119 billion in China and only around $50 billion in EU countries. This stark contrast highlights the competitive disadvantage Europe faces in the rapidly evolving AI sector.

Moreover, China’s top foundational AI models are estimated to be just two months behind those in the US, indicating a narrowing gap in technological advancement. As of 2024, the EU’s industrial electricity prices are more than double those in China, further complicating the region’s ability to attract and retain AI investments.

In a related development, the Globee® Awards for Artificial Intelligence invite organizations across the Asia-Pacific region to submit their achievements in various categories, including AI-driven products and services, machine learning applications, and automation. Winners of these awards receive global recognition and verified eCertificates, showcasing the growing importance of AI on the international stage.

The current state of EU tech reflects more about past industrial choices than about the impacts of digital regulations. As the EU moves toward a more lenient regulatory framework, the exact impact of reducing regulatory protection on the economy remains unclear.

Furthermore, the effectiveness of the EU AI regulatory framework in protecting users from harm is uncertain. Details remain unconfirmed, leaving stakeholders to navigate a shifting landscape with potential implications for innovation and user rights.

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As of 11 March 2026, the integration of artificial intelligence (AI) into national security frameworks is a pressing issue, with significant implications for global power dynamics. AI, characterized as a dual-use technology, can be adapted for both civilian and military applications, prompting concerns about its potential misuse.

Recent discussions highlight the concept of model distillation, where a weaker AI model learns from the outputs of a stronger system. This method raises questions about the accessibility and proliferation of AI technologies, as these models can be easily copied and shared, unlike tightly controlled nuclear materials.

Experts note that the integration of AI into military systems appears increasingly inevitable. “The integration of AI into military systems appears increasingly inevitable as states seek advantages in strategic competition,” one analyst remarked, emphasizing the urgency for governance frameworks to address these developments.

The rapid expansion of AI has intensified global debates about technological power and national security. Countries are racing to harness AI capabilities, which could shift the balance of power in international relations.

In India, the political landscape has seen its own challenges, with the removal of the Lok Sabha Speaker governed by Article 94(c) of the Constitution. Historically, no-confidence motions against the Speaker have been extremely rare, with only three attempts recorded in India’s parliamentary history.

The process for initiating the removal of the Speaker requires a written notice to the Secretary-General of the Lok Sabha, with a minimum notice period of 14 days before the motion can be taken up. The Speaker can participate in the voting process but cannot cast a deciding vote in the event of a tie.

Details remain unconfirmed regarding the perception of politicization within the Speaker’s office, which adds another layer of complexity to the ongoing political discourse.

As nations continue to explore the implications of AI in military contexts, the effectiveness of input-based controls on AI development remains unclear due to potential circumvention strategies. This uncertainty underscores the need for robust governance mechanisms to mitigate risks associated with AI technologies.

In summary, the intersection of AI and national security is a critical area of focus as global powers navigate the challenges and opportunities presented by this rapidly evolving technology.

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