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SBI to Launch Centre of Excellence for Project Financing in AI, E-Commerce & Fintech
- SBI plans to establish a Centre of Excellence for project financing in emerging industries such as AI, e-commerce, and fintech, aiming to make it operational within a year.
- The CoE will have specialized professionals and will focus on diversifying SBI's existing project finance and structuring capabilities, which have traditionally focused on large infrastructure projects.
- This move comes as SBI recognizes the increasing importance of lending to new-age industries and renewable energy sectors in its project financing portfolio.
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Medium
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AI’s Scaling Addiction : From Boom to Bust, The Truth About AI’s Obsession with Size
- The AI industry has been obsessed with building larger and more powerful models, leading to huge energy consumption and environmental impact.
- Researchers are now questioning if scaling LLMs to massive sizes is the best approach for AI development.
- Efforts are being made to create smaller, faster, and more efficient LLMs without compromising performance.
- Reducing the size of LLMs has shown promising results, with smaller models achieving similar performance to larger ones.
- Efficient training techniques and parameter optimization are becoming key strategies for sustainable AI development.
- New approaches like 1-bit quantization are drastically reducing memory footprint and computational requirements of LLMs.
- 1-bit LLMs are proving to be effective in cutting energy consumption and memory usage while maintaining performance.
- The shift towards smaller, more efficient AI models is aimed at balancing performance with sustainability in the industry.
- While optimizing LLMs is crucial, there are concerns that excessive efficiency might hinder the creative and spontaneous nature of AI.
- Balancing efficiency with generative abilities in AI models is crucial to maintaining their creative spark and intelligence.
- The AI industry is moving towards smart scaling and reduction techniques to ensure sustainable and efficient AI development.
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Medium
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How AI is Learning to Understand Us Better
- AI is now capable of examining images, watching videos, and identifying emotions in words.
- AI is learning to understand context, intent, and human speech patterns.
- It can now read and comprehend images, videos, and voice commands.
- Examples include Google's Gemini and Microsoft's Copilot Vision.
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Google DeepMind’s Gemini Robotics to Build AI for Robots of all Shapes and Sizes
- Google DeepMind has introduced two new AI models, Gemini Robotics and Gemini Robotics-ER, to enhance robotic capabilities in the physical world by enabling robots to perform a broader range of real-world tasks.
- Gemini Robotics is a vision-language-action (VLA) model that allows robots to comprehend new situations and execute physical actions without specific training.
- Gemini Robotics-ER is designed for roboticists to develop their own models, offering advanced spatial understanding and improved object detection and pointing capabilities.
- Google is partnering with Apptronik to develop humanoid robots using these models, indicating its future focus on expanding partnerships and exploring the capabilities of the technology.
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Medium
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How to use Sparse Categorical Crossentropy in Keras
- Sparse categorical crossentropy is a loss function in Keras that allows leaving the integers as they are without requiring one-hot encoding.
- The blog explains how to build a CNN using sparse categorical crossentropy with an example on the MNIST dataset.
- In traditional multiclass classification with Keras, categorical crossentropy necessitates one-hot encoding of target vectors.
- One-hot encoding involves converting integer targets into categorical format before using categorical crossentropy.
- For integer targets that are too large for one-hot encoding, sparse categorical crossentropy can be used.
- The formula for categorical crossentropy involves computing natural logarithms of class predictions and actual targets.
- Sparse categorical crossentropy is an integer-based version of categorical crossentropy.
- The blog provides code examples for creating a CNN with sparse categorical crossentropy using the MNIST dataset.
- The tutorial includes setting up model configurations, loading and preparing MNIST data, model architecture, compilation using sparse categorical crossentropy, and model fitting.
- By following the tutorial, one can train a CNN with sparse categorical crossentropy in Keras for multiclass classification.
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Analyticsindiamag
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The Startup that is Winning Over Investors, Tech Giants, and Developers
- Anthropic, a startup in the AI industry, has gained immense popularity and admiration from users, investors, and tech giants.
- The company recently secured $3.5 billion in Series E funding, bringing its valuation to $61.5 billion.
- Anthropic's revenue has increased from $1 billion to $1.4 billion, with projected growth to reach $34.5 billion in 2027.
- The startup has strong ties with tech giants like Amazon and Google, with Amazon using Anthropic as its primary cloud provider and Google owning 14% of the company.
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Analyticsindiamag
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Kairos Technologies Opens Global Centre in Hyderabad
- Digital engineering company Syneriq's Kairos Technologies has opened its first global capability centre (GCC) in Hyderabad, investing ₹50 crore in the new centre to boost global presence.
- The 40,000 sqft centre was inaugurated by Telangana's IT minister Sridhar Babu Duddilla and aims to become a $150 million group, focusing on AI innovation and expanding talent base.
- Kairos Technologies introduced Zyrix, its next-generation AI platform, to accelerate product development and innovation in enterprise technology.
- The company plans to double its workforce to 1,500 employees and expand operations in the US, Canada, Mexico, South Africa, Hyderabad, and Visakhapatnam.
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Analyticsindiamag
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Google AI Studio Now Lets You Add YouTube Video Links
- Google AI Studio now allows users to add YouTube video links for summarization.
- Users can pass YouTube links through the API in AI Studio and have the model automatically understand and parse them.
- There are some limitations to the feature, such as a maximum of eight hours of YouTube video upload per day, one video link per request, and the videos need to be public.
- The feature has shown promising results, but it remains to be seen if it will affect the views for creators in the long run.
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Analyticsindiamag
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Narayana Murthy Calls India’s AI Hype ‘Silly Old Programs’
- Infosys founder N.R. Narayana Murthy criticizes India's AI landscape, stating that much of what is claimed as AI is actually ordinary software labeled as AI.
- Murthy emphasizes that true AI is based on machine learning and deep learning, and argues that many AI solutions are just traditional programs with fancy tags.
- He encourages Indian entrepreneurs to develop AI solutions that are tailored to the country's unique socio-economic conditions.
- Murthy's comments come at a time when India's tech industry is experiencing a surge of AI-powered startups and enterprises.
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Medium
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How to Debug Pine Script Code Like a Pro (Save Hours of Frustration)
- This guide provides techniques to debug Pine Script code efficiently and save time.
- To track variable changes, display their values on the chart instead of placing multiple labels.
- Check execution order and use bar_index tracking to identify delayed calculations or repainting issues.
- Optimize code efficiency by checking array size, using 'var' to persist values, and storing data only when needed.
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Medium
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How Hacker Attack / Cyber Threat’s Explained and How to Stay Safe
- Network attacks involve various aspects of cybercrime, where criminals break into systems and steal data.
- Hackers find clever ways to infiltrate systems, such as using malware and disguising themselves to gain access.
- Malware infects systems like a virus and spreads through files, while worms propagate independently without user interaction.
- Logic bombs silently reside on systems and execute malicious actions at a predetermined time.
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Analyticsindiamag
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We Are The Founders of The New Intel: Incoming CEO Lip-Bu Tan
- Intel Corporation has announced the appointment of Lip-Bu Tan as CEO, effective March 18.
- Tan brings over 20 years of semiconductor and software experience and has extensive relationships across Intel’s ecosystem.
- The appointment comes after former CEO Pat Gelsinger's ousting due to unmet expectations.
- Tan expressed enthusiasm for the role, aiming to remake Intel's business and rebuild its process technology roadmap.
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Analyticsindiamag
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Bessemer Venture Partners Announces $350 Million Fund for Indian Startups
- Bessemer Venture Partners announces a $350 million fund dedicated to early-stage investments in India.
- The fund will target startups in AI-enabled services, SaaS, fintech, digital health, consumer brands, and cybersecurity.
- India's growth of middle class, digital infrastructure expansion, and increasing domestic investment are among the factors behind the new fund.
- Bessemer's first India fund has backed startups including Boldfit, MoveInSync, Pepper Content, ShopDeck, Vetic, and Zopper.
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Analyticsindiamag
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Silicon Valley-Backed SpotKwik Acquired by Omnia, Strengthening Ties with Tesla
- US-based extended reality (XR) company Omnia has acquired SpotKwik, a Silicon Valley-backed augmented reality (AR) startup, to expand its capabilities in spatial computing.
- The acquisition is expected to strengthen Omnia's position in the XR space, particularly with clients like Tesla, AOI, and GM.
- SpotKwik's AR technology aims to build for future platforms such as headsets, moving beyond smartphones, and enabling spatial computing.
- The acquisition is anticipated to have a significant impact on the Indian market, with plans to bring spatial experiences to consumers and revolutionize industries such as automotive, jewelry, and cosmetics.
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Analyticsindiamag
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Google Outpaces OpenAI with Native Image Generation in Gemini 2.0 Flash
- Google has announced the availability of native image output in Gemini 2.0 Flash for developer experimentation.
- Gemini 2.0 Flash integrates multimodal input, reasoning, and natural language processing to generate images.
- The model supports interactive editing, refined image generation through natural language dialogue, and realistic image generation using world knowledge.
- Gemini 2.0 Flash outperforms leading models in rendering long text sequences and is suitable for advertisements and social media content.
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