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Wipro Appoints Sandeep Dhar as Global Head of GCC Business

  • Wipro appoints Sandeep Dhar as the global head of its Global Capability Center (GCC) practice.
  • Dhar brings over three decades of expertise in the GCC ecosystem and consulting, having played a key role in transforming notable companies in the sector.
  • In his new role, Dhar will drive Wipro’s comprehensive GCC offerings and report directly to the company’s chief operating officer.
  • Wipro aims to enhance its focus and execution in the GCC space by leveraging Dhar's vast experience in leading and transforming GCCs.

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Medium

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Learning Circuits: Neuroscience Inspirations and AI Algorithms

  • Learning involves biological circuits in the brain and artificial circuits in artificial neural networks (ANN). The balance between innate and learned behaviors is crucial for optimal learning, similar to the bias-variance tradeoff in supervised learning.
  • Learning post-birth is necessary due to the limited capacity of the genome in DNA and the dynamic nature of the world, requiring continuous adaptation and learning.
  • Neural plasticity allows for changes in neural networks through growth and reorganization, supporting functions like learning, memory, and cognition.
  • Long-term potentiation (LTP) and long-term depression (LTD) modulate synaptic strength, while spike-timing-dependent plasticity (STDP) refines synaptic changes based on timing.
  • Hebbian theory states 'neurons wire together if they fire together,' serving as a foundational principle for learning and neural connections.
  • Elastic Weight Consolidation (EWC) helps in continual learning by penalizing changes to important weights when learning new tasks, preventing catastrophic forgetting.
  • Dopaminergic neurons play a key role in reward learning, influencing motivation, reinforcement, and emotion regulation.
  • Reinforcement learning (RL) models how agents make decisions to maximize rewards, inspired by the brain's reward systems like dopamine pathways.
  • Temporal-difference (TD) learning combines bootstrapping and sampling to update value estimates incrementally, reshaping actions based on reward signals.
  • Advanced RL systems like AlphaGo use deep neural networks and planning algorithms to master complex decision-making tasks, showcasing the power of deep RL.
  • AlphaZero further refines the RL framework by learning purely from self-play, demonstrating the effectiveness of deep RL in mastering diverse games and decision-making.

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From Hosur to Dholera, Tata Electronics is Piecing India’s Chip Puzzle

  • Tata Electronics is spearheading a semiconductor revolution in India by establishing factories, foundries, and partnerships across the country, aiming to reduce dependence on imported chips and support the India Semiconductor Mission.
  • The company has made significant investments in Tamil Nadu, including Hosur and Chengalpattu, with a focus on electronics manufacturing services, clean-room manufacturing, and promoting female employment in the sector.
  • Tata's presence extends to Karnataka and encompasses integrated electronics systems, component manufacturing, and research and development functions in Bengaluru.
  • Expanding its operations, Tata Electronics is venturing into semiconductor fabrication with a plant in Gujarat's Dholera and plans for a semiconductor assembly and test facility in Assam, contributing to India's chip manufacturing capabilities.
  • Partnerships with global companies like Powerchip Semiconductor Manufacturing Corporation, Synopsys, and Tokyo Electron Limited highlight Tata's strategic collaborations to strengthen India's semiconductor ecosystem.
  • The company's entry into chip exports, partnership with Tesla, and the appointment of semiconductor industry veteran KC Ang signify significant milestones in India's semiconductor industry.
  • Tata Electronics aligns with India's semiconductor policy, navigating geopolitical tensions and supply chain challenges to establish itself as a key player in India's semiconductor value chain.
  • With a comprehensive strategic approach, Tata Electronics is paving the way for India to become a competitive player in the global chip ecosystem, emphasizing end-to-end capabilities in electronics and chip manufacturing.
  • By strategically spreading operations across different states, Tata is positioning itself as a crucial element in India's semiconductor sector, with a focus on establishing a robust chip ecosystem.
  • As Tata Electronics leads the way in India's semiconductor journey, it signifies a promising step towards achieving self-reliance and competitiveness in chip manufacturing, aligning with the country's long-term goals in the sector.

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Global Tech Leaders Call for Mandatory Computer Science, AI Curriculum in US Schools

  • Over 250 CXOs and founders from top tech companies are urging US schools to include computer science and AI in core subjects.
  • They claim that adding these subjects could unlock $660 billion in economic value and help bridge skill and income gaps.
  • Signatories include leaders like Satya Nadella, Shantanu Narayen, Julie Sweet, Ravi Kumar S, Arvind Krishna, and Andrew Bosworth.
  • The letter emphasizes the need for preparing children to be AI creators, highlights bipartisan support, and stresses the importance of making computer science and AI mandatory in schools.

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AI bot Allie scores 678/720 in NEET 2025 with 98.84% Accuracy

  • AI bot Allie, developed by Allen Career Institute's digital arm Allen Online, scored 678 out of 720 in NEET 2025 with an accuracy of 98.84%.
  • Allie is designed to be a curriculum-aligned academic companion for Indian competitive exams and is claimed to outperform bots from other leading AI and education companies.
  • Allie's effectiveness lies in its understanding of both questions and context, using a dynamic routing system to select suitable LLM models for student queries.
  • The bot's architecture has reduced doubt-resolution turnaround time significantly, and it achieved the NEET score independently without human intervention.

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VentureBeat

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Zencoder launches Zen Agents, ushering in a new era of team-based AI for software development

  • Zencoder has launched Zen Agents, a platform that allows organizations to create and share specialized AI tools for software development.
  • The platform includes an open-source marketplace for developers to contribute and discover custom agents, focusing on team-based AI.
  • Unlike existing AI coding assistants, Zen Agents target collaborative software engineering, addressing delays in coding and feedback loops.
  • It enables teams to create and deploy custom agents tailored to specific frameworks, workflows, or codebases, promoting consistent practices and eliminating repetitive tasks.
  • Zen Agents employs the Model Context Protocol (MCP) to interact with external tools, allowing large language models to enhance the development process.
  • The platform aims to automate parts of the development lifecycle, such as code review and testing, to streamline workflows.
  • It emphasizes enterprise readiness, boasting certifications like ISO 27001 and SOC 2 Type II for responsible AI management.
  • Zen Agents features an open-source marketplace, enabling the community to contribute specialized agents, enhancing collaboration and expanding capabilities.
  • Early adopters have found value in creating agents for various tasks, including integrating workflow steps and improving accessibility requirements.
  • Pricing for Zen Agents is tiered, with plans that include a free tier, $20, and $40 monthly options, focusing on user productivity and cost-effectiveness.

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How CEO Stability is Paying Off for Mid-Size Indian IT 

  • Mid-size Indian IT firms are outperforming larger firms due to CEO stability and experience.
  • CEOs of mid-sized firms like Persistent Systems, Hexaware, Mphasis, and Coforge have been driving growth with deep leadership experience.
  • In contrast, bigger IT giants such as TCS, Infosys, and Wipro, with new CEOs, have seen slimmer order books and slower growth.
  • Smaller firms are embracing change faster and showing quicker revenue surges compared to larger counterparts.
  • Coforge's CEO Sudhir Singh led the company to significant growth, securing a $1.56 billion deal with Sabre.
  • Persistent Systems' CEO Sandeep Kalra's strategy of focusing on regulated verticals led to continuous revenue growth, aiming for $2 billion annual revenue by FY27.
  • Hexaware's AI-driven approach, under CEO Srikrishna Ramakarthikeyan, facilitated revenue growth, with three clients contributing over $75 million each.
  • Mphasis, under CEO Nitin Rakesh, reported a strong quarter with revenue and deal wins driven by AI-led initiatives.
  • Mid-size firm CEOs with stable leadership have shown success in securing deals and order bookings, while larger companies are still navigating challenges.
  • While big IT companies are yet to fully capitalize on areas like GenAI, mid-size firms are demonstrating hunger and focus in closing new deals.

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Google Chrome to Use AI to Stop Tech Support Scams

  • Google Chrome is utilizing AI to combat tech support scams by leveraging Gemini Nano, an on-device large language model.
  • The AI-powered feature in Chrome 137 beta version will detect and block scam sites in real time.
  • By analyzing suspicious pages locally on users' devices, Chrome aims to outpace scammers who often evade security crawlers.
  • This approach offers both privacy and speed, with plans to expand the AI layer to detect other scam types in the future.

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How SentinelOne is Trying to Meet India’s Appetite for AI-Driven Cybersecurity

  • American cybersecurity company SentinelOne is addressing India's evolving cybersecurity needs by incorporating AI into its architecture.
  • SentinelOne's AI assistant, Athena, assists with endpoint detection, Security Information and Event Management (SIEM) migration, rule porting, and cross-environment orchestration in India.
  • The company uses a platform-agnostic approach with multi-model AI testing, allowing flexibility in matching different models to various security tasks.
  • SentinelOne sees India as a primary market for investment due to its rapid digitization, with a focus on cloud-native security, and has invested $22 million in the Indian market.

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Medium

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Agent2Agent Protocol Explained

  • Google's Agent2Agent (A2A) protocol facilitates seamless communication between AI agents, promoting interoperability and industry collaboration.
  • The A2A protocol enables AI agents from different companies or platforms to communicate, exchange data securely, and coordinate actions, breaking down silos in AI collaboration.
  • It serves as a universal translator for AI agents, eliminating the need for custom coding or compatibility adjustments, allowing agents using different frameworks to work together smoothly.
  • The A2A protocol introduced by Google aims to enhance the collaborative capabilities of AI agents by providing an open standard for communication and data exchange across diverse systems.

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Karnataka Partners with IN-SPACe for Space Tech Boost

  • The Karnataka government and IN-SPACe have signed two MoUs to establish a Centre of Excellence for Space Technologies and a space manufacturing park in Bengaluru.
  • The Centre of Excellence aims to drive R&D in space technologies, while the manufacturing park will provide infrastructure for satellite and launch vehicle production.
  • These initiatives align with the Indian Space Policy 2023 and aim to support Karnataka's NewSpace ecosystem by fostering innovation and public-private partnerships.
  • The agreements are part of efforts to transform Karnataka into a global destination for space technologies, with a focus on training professionals, attracting investments, and supporting startups.

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OpenAI’s GitHub Integration Brings ‘Deep Research for Your Code Base’

  • OpenAI announced a GitHub integration for the Deep Research tool in ChatGPT, allowing users to link repositories to ChatGPT for compiling reports based on queries.
  • GitHub is a platform for hosting code repositories and was acquired by Microsoft in 2018. OpenAI shared an example of browsing through a repository to demonstrate the feature's capabilities.
  • This integration is part of OpenAI's efforts to cater to developers, following the acquisition of Windsurf for $3 billion and release of Codex CLI tool for code generation.
  • Newly released o3 and o4-mini models by OpenAI show improved performance in benchmarks like Codeforces competition code compared to their predecessors.

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Baidu’s Apollo, CAR Inc Launch China’s First Autonomous Car Rental Service

  • Baidu's Apollo and CAR Inc have launched China's first autonomous car rental service, starting in the second quarter of this year.
  • The service aims to cater to various user segments, including the elderly, tourists, unlicensed drivers, and individuals with disabilities.
  • The partnership focuses on refining the service based on user feedback, expanding to more cities, and setting industry standards for autonomous rentals.
  • The service leverages Apollo's R&D in autonomous driving and CAR Inc's national network, targeting a car rental market expected to surpass $41 billion by 2030.

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Medium

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GPT-4o Didn’t Get Dumber: It Just Lacks Reasoning Privileges.

  • Reasoning capabilities in AI models like GPT-4o help reduce hallucinations by providing accurate outputs after processing requests.
  • Despite being OpenAI's fastest multimodal model, GPT-4o has raised concerns due to the term 'Sycophancy' used by developers.
  • There is a call for OpenAI to utilize reasoning and additional processing time in GPT-4o to minimize issues like hallucinations.
  • Recent findings suggest that GPT-4o lacks thorough thinking processes, leading to troubling outcomes and inconsistencies.

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Unleashing the Power of Nvidia Blackwell Ultra in 2025

  • In 2025, Nvidia Blackwell Ultra emerges as a game-changer, revolutionizing AI with unmatched performance and ethical solutions for industry challenges.
  • Nvidia unveiled Blackwell Ultra, a marvel promising to redefine AI performance and efficiency, marking a pivotal moment in AI technology.
  • Blackwell Ultra, an advancement in the Blackwell architecture, offers enhanced training and inference capabilities with 288 GB of HBM3e memory, enabling handling larger models.
  • The release of Blackwell Ultra represents a significant leap forward in AI technology, set to transform how AI is perceived and utilized in various industries.

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