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Google Co-Founder Larry Page’s Startup Dyanatomics to Bring AI to Manufacturing

  • Google co-founder Larry Page is building a new startup called Dynatomics, focused on integrating artificial intelligence in product manufacturing.
  • Dynatomics aims to create highly optimized designs for products and get them manufactured in factories.
  • The use of AI in manufacturing offers potential for optimizing efficiency, improving quality, and reducing downtime.
  • Other companies like Sandvik, Tata Consultancy Services, and Y-Combinator startups are also exploring AI's applications in the manufacturing sector.

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OpenAI’s Coding Provider Turing Raises $111 Million at $2.2 Billion Valuation 

  • Turing, an AI coding provider, has raised $111 million in a Series E funding round, valuing the company at $2.2 billion.
  • The funding will support Turing's work in AGI infrastructure, AI model development, and enterprise AI applications.
  • The funding round was led by Malaysia's sovereign wealth fund, Khazanah Nasional Berhad.
  • Turing's technology includes an AI-driven talent platform, ALAN for model evaluation, and compute and data support for AGI models.

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Telecoms Get a ‘Brain’ Upgrade with AI and Cloud

  • Telecom industry players, like Reliance Jio and Bharti Airtel, are utilizing AI and cloud technologies to improve service delivery and network optimization.
  • Reliance Jio has developed its own AI platform, Jio Brain, to optimize network operations and enhance customer experience.
  • Deutsche Telekom has explored generative AI in chatbots and coding assistants, while other telecom companies primarily use traditional AI for network performance monitoring.
  • Major telecom companies are adopting a hybrid cloud approach, combining on-premises infrastructure, private cloud, public cloud, and edge computing, to achieve scalability, faster deployment, and better insights.

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How To Lead One-on-ones As An Introverted Engineering Manager

  • One-on-one meetings are crucial for engineering managers to gather important information and build trust with their team members.
  • These private meetings provide a safe space for engineers to express themselves and for managers to offer support.
  • Consistent one-on-ones help in developing deeper connections, fostering trust, and preventing potential issues within the team.
  • Building relationships through shared experiences and common interests can help introverted managers break the ice and connect with their team.
  • Effective one-on-one meetings require preparation, active listening, and a balance between directing the conversation and allowing space for the team member.
  • Improving communication skills, focusing on the meeting agenda, and regularly conducting these sessions are key aspects of successful one-on-one meetings.
  • Prioritizing one-on-ones and dedicating time to enhancing communication abilities are crucial for engineering managers to effectively lead their teams.
  • Employing strategies like preparing in advance, active listening, and building rapport can help introverted managers navigate one-on-one meetings more effectively.
  • Consistent engagement in one-on-one meetings contributes to team productivity, trust-building, and maintaining a healthy working relationship.
  • In conclusion, dedicating effort to mastering the art of one-on-one meetings can lead to improved team dynamics and overall managerial success.

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The Future of AI Search: Choosing the Right Vector Database for Your Use Case

  • Choosing the right vector database is crucial for powering AI applications with fast and intelligent retrieval of complex data.
  • There are different types of vector databases, each with their strengths and use cases:
  • 1. Knowledge Graphs: Best suited for relationship-driven queries and graph-based AI applications like recommendation systems and fraud analysis.
  • 2. High-Dimensional Vector Search: Ideal for searching unstructured data like text, images, audio, and video embeddings, such as AI-powered search engines and real-time recommendation systems.

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bp’s Digital Core Discovery Event Returns to Pune to Showcase Tech-Driven Energy Transformation

  • British petroleum company, bp, is set to host an exclusive event titled "Energy Meets Innovation" — bp’s digital core discovery event on March 28, at the JW Marriott Hotel in Pune.
  • The event will showcase how digital technologies, AI, and cloud computing are redefining the energy sector and driving growth, efficiency, and sustainability.
  • Industry leaders and technology experts will gather to discuss how digital innovation is shaping the future of energy, benefiting both India and the global community.
  • The event will feature discussions from bp leaders and technology partners, including Microsoft, AWS, and Salesforce, focusing on digital transformation, energy security, and sustainability.

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Docker’s Founder Builds an Open Source Alternative to Claude Code, Kind Of

  • Solomon Hykes, the founder of Docker, has developed an open source alternative to Anthropic’s Claude Code.
  • The alternative is a part of Dagger, an open-source runtime for composable workflows, which provides agentic features as modular components.
  • The system supports any model and comes with native MCP support (Model Context Protocol).
  • The project is under active development and is available on GitHub with an Apache-2.0 license.

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Google Co-Founder Larry Page’s Startup Dynatomics to Bring AI to Manufacturing

  • Google co-founder Larry Page is building a startup called 'Dynatomics' focused on integrating AI in product manufacturing.
  • The startup is led by Chris Anderson, former CTO of electric airplane company Kittyhawk.
  • Dynatomics aims to create 'highly optimised' product designs and manufacture them with the help of AI.
  • AI in manufacturing offers potential for efficiency optimization, quality improvement, and real-time process adaptation.

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First Citizens India Appoints Satya Prakash Ranjan as Country Head and Head of Technology

  • First Citizens India has appointed Satya Prakash Ranjan as the country head and head of technology.
  • Ranjan, with over 25 years of experience, will oversee India teams supporting the strategic business priorities of First Citizens Bank.
  • He has previously served in leadership roles at Telstra, Fidelity Investments, Citigroup, and Accenture.
  • Ranjan is an alumnus of Indian Institute of Technology and Indian Institute of Management, and he actively supports educational initiatives for underprivileged children.

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IIT Madras Prof Balaraman Ravindran Questions IndiaAI Mission’s Timeline to Build an Indigenous LLM

  • IIT Madras professor Balaraman Ravindran has expressed skepticism about the Indian government's plan to develop an indigenous large language model (LLM) under the IndiaAI mission within six months.
  • Ravindran believes the timeline for building top-notch models is too aggressive and may not position India strongly in the global AI landscape.
  • The government aims to have India's LLM ready in the next ten months, with an allocation of ₹2,000 crore for the IndiaAI mission in the Union Budget 2025.
  • Despite uncertainties among startups, MeitY will continue accepting proposals for the next six months or until a sufficient number is received.
  • IIT Madras, in collaboration with a startup, has submitted a proposal for the IndiaAI mission, emphasizing the need for a startup mindset within the timeline.
  • Ravindran suggested that more investment in academia is crucial for cutting-edge research and highlighted the importance of industry-academia partnerships in AI development.
  • The IndiaAI mission, involving public-private partnerships, will provide access to over 18,000 GPUs for AI development.
  • AI startups like Sarvam AI, Krutrim, CoRover.ai, TurboML, and IIIT Hyderabad have applied under the IndiaAI proposal, aiming to contribute to the country's AI future.
  • TurboML and Soket AI have launched initiatives to collaborate on multilingual AI models tailored to India's needs and global competitiveness.
  • Ravindran stressed the need for more investment and compute resources in fundamental research, expressing hope for significant progress in AI development in the next year and a half.

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Serverless Computing Explained: How It Works, Best Practices, and Future Trends

  • Serverless Computing is revolutionizing cloud computing by allowing businesses to deploy applications without managing servers, provisioning infrastructure, or worrying about scaling.
  • Key Characteristics of Serverless Computing include developers writing code, cloud providers executing functions on demand, auto-scaling, and billing based on usage.
  • Serverless Computing evolved through phases from traditional on-prem servers to the rise of Serverless (FaaS) with platforms like AWS Lambda and Azure Functions.
  • The future of Serverless includes AI-powered auto-scaling, edge computing, quantum advancements, and further evolution of this computing paradigm.
  • Serverless is ideal for startups, developers, enterprises, and e-commerce platforms to achieve scalability, cost-efficiency, and handle unpredictable traffic spikes.
  • While Serverless offers unmatched scalability and efficiency, challenges include cold start delays, migration complexities, and security risks in shared cloud environments.
  • AWS Lambda, Azure Functions, and Google Cloud Functions are the three major cloud providers leading the Serverless space, each with unique features and limitations.
  • Real-world applications of Serverless Computing include e-commerce, media streaming, fraud detection, vaccine distribution, IoT analytics, and smart car analytics.
  • To ensure best practices, businesses and developers should optimize performance, manage costs, enhance security, monitor effectively, and avoid vendor lock-in.
  • Future trends in Serverless Computing include auto-scaling with predictive analytics, AI-driven automation, edge computing applications, security enhancements, and a move towards NoOps.

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Manuel Carro: “It is unlikely that artificial intelligence will understand the universe”

  • Elon Musk's announcement about AI revealing the secrets of the universe is seen as marketing in the scientific and technological community.
  • Science faces many real problems that need to be solved before understanding the universe, and there are no guarantees these problems can be solved.
  • The development of artificial intelligence has brought about a technological war, where power is gained not only in geographical and economic spheres but also in cyberspace.
  • Software plays a crucial role in decision-making processes, including social networks, financial trading, and economic predictions.

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Mit

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Robotic helper making mistakes? Just nudge it in the right direction

  • MIT and NVIDIA researchers have developed a new framework for correcting robot behavior through simple interactions, such as pointing or nudging the robot in the right direction.
  • This method allows users to provide real-time human feedback to guide the robot without the need for retraining the machine-learning model.
  • The framework performed 21 percent better than alternative methods that did not incorporate human interventions.
  • It enables users to guide factory-trained robots in household tasks without the robot having prior knowledge of the environment or objects.
  • The method was developed by MIT researchers including Felix Yanwei Wang, with support from NVIDIA colleagues.
  • Their approach allows users to correct robot misalignment by pointing at the object, tracing a trajectory, or physically adjusting the robot's arm.
  • The framework uses a specific sampling procedure to ensure that the robot selects actions aligned with the user's goal.
  • By incorporating user interactions, the robot can improve its behavior through immediate corrections and continuous learning.
  • The researchers aim to enhance the speed of the sampling procedure and explore policy generation in new environments in future research.

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Razorpay Expands its Operations to Singapore

  • Bengaluru-based fintech company Razorpay has expanded its operations to Singapore.
  • Following its successful operations in Malaysia, Razorpay aims to support and scale Singapore's digital economy by offering seamless, secure, and scalable payment solutions.
  • Razorpay has launched a suite of payment solutions for Singaporean businesses, with the aim of reducing cross-border transaction fees by 30-40%.
  • The company plans to work closely with banks, financial institutions, and regulatory bodies to ensure seamless integration and compliance with Singapore's financial landscape.

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AI will Ensure Your Ice Cream Doesn’t Melt This Summer

  • AI-powered real-time monitoring systems ensure optimal temperatures during transportation and storage of ice cream.
  • AI-based demand forecasting using weather patterns improves production accuracy and minimizes waste.
  • AI-driven models help in adapting ice cream production to weather conditions and optimizing delivery routes.
  • AI-powered systems reduce waste, cut costs, and enhance marketing and product development in the ice cream industry.

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