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Data Science News
Medium
4w
876
Image Credit: Medium
Traders Ignore This Obscure Indicator — Until It Saves Them
- The article discusses the importance of the Relative Directional Index (RDI) in evaluating market conviction during live trades.
- RDI focuses on quantifying the directness of price action and filtering for conviction rather than just movement.
- The article details strategies for using RDI, such as the False Reversal Filter and Breakout Streak Logic, to make informed trading decisions.
- RDI divergence helps in identifying potential reversals and questioning the legitimacy of momentum, providing a valuable tool for traders.
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Analyticsindiamag
4w
84
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Coforge Posts 32% FY25 Revenue Surge, Unveils GenAI Centre of Excellence
- Coforge reported a 32% YoY revenue growth in FY 25, reaching ₹12,050.7 crore ($1.45 billion) with a 31.7% YoY rise in EBITDA to ₹1,998.2 crore.
- In Q4, revenue stood at ₹3,409.9 crore ($403.5 million), up 3.4% QoQ, with EBITDA at $68 million, showing a 32.7% YoY increase.
- Coforge launched a GenAI Centre of Excellence in collaboration with ServiceNow to focus on genAI-powered solutions for financial services and travel sectors.
- The company achieved a record order intake of US$2.1 billion in Q4, with a 35.5% YoY increase in headcount to 33,497 employees and low attrition rate of 10.9%.
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Towards Data Science
4w
297
Think. Know. Act. How AI’s Core Capabilities Will Shape the Future of Work
- Many business leaders have high expectations for AI but encounter limited results due to a misunderstanding of its capabilities.
- AI can be evaluated based on three core capabilities: Think, Know, and Act.
- Think focuses on an AI's ability to reason, plan, and make decisions autonomously.
- Know involves AI's access to and application of relevant knowledge through Retrieval-Augmented Generation (RAG).
- Act relates to AI's execution of tasks by interacting with tools, systems, and workflows via Model Context Protocol (MCP).
- When combined, these capabilities transform AI into an action-oriented collaborator.
- Thinking AI operates like a smart analyst, making decisions and taking initiative.
- Knowing AI ensures access to up-to-date, business-specific knowledge for more accurate responses.
- Acting AI goes beyond recommendations, executing tasks and delivering real outcomes.
- The integration of Think, Know, and Act creates intelligent, proactive AI that drives meaningful business value.
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Analyticsindiamag
4w
396
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Amazon Q Developer Adds GitHub Integration
- Amazon launched a preview of Amazon Q Developer integration for GitHub, allowing developers to build, review, and migrate code within repositories.
- The Amazon Q Developer GitHub app can be installed across repositories, assigns GitHub issues, generates features, creates pull requests, and runs basic checks on output.
- Developers can use Amazon's generative AI developer agent in the workflow through the GitHub app without an AWS account.
- Amazon Q Developer offers feature development, code review, and code transformation functionalities, making it one of the few AI coding assistants integrated closely with GitHub.
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Analyticsindiamag
4w
192
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‘I Want the Best Open-Source Model to be From US,’ Says OpenAI’s Kevin Weil
- OpenAI is developing an open weights model in the US to become the most widely used globally, reflecting democratic values.
- Kevin Weil of OpenAI aims for the best open weights model globally to be US-built, not Chinese.
- The model is intended for global adoption, limiting strategic acceleration by adversarial states, positioned as a generation behind OpenAI's frontier models.
- OpenAI's approach balances broad AI system access, national security, and value alignment, maintaining proprietary frontier models while making smaller models open-source.
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Analyticsindiamag
4w
361
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OpenAI Restructures For-Profit Arm into Public Benefit Corporation, Maintains Nonprofit Control
- OpenAI has restructured its for-profit arm into a public benefit corporation (PBC) while ensuring its nonprofit entity continues to oversee and control the organization.
- Originally operating as a nonprofit, OpenAI introduced a for-profit LLC in 2019 to attract investors while capping profits. This LLC has now become a PBC to align better with the company's mission and the evolving AI landscape.
- The decision to convert the for-profit arm into a PBC was aimed at pursuing both shareholder returns and social objectives. However, the control over the organization will remain with the nonprofit entity.
- The restructuring will help OpenAI secure the necessary funding to develop powerful AI systems and expand programs focused on democratizing AI and supporting its use in various sectors like healthcare and education.
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Analyticsindiamag
4w
236
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Only Fools Think Coding is Dead
- Despite claims from various tech entities, coding continues to be predominantly done manually by developers, as opposed to being entirely AI-generated.
- The trend of 'vibe coding' and the promotion of coding alternatives have sparked debates on the relevance of traditional coding skills.
- Experts emphasize the importance of learning to code early and refute the notion of coding becoming obsolete.
- AI tools have made coding more accessible but haven't rendered human programming skills unnecessary.
- While AI may streamline coding processes, understanding the fundamentals of coding remains crucial for problem-solving and innovation.
- Tech leaders like Sundar Pichai and Satya Nadella maintain that the demand for skilled engineers is increasing, highlighting the continued significance of coding expertise.
- Debates around coding education amidst AI advancements persist, with varying opinions on the evolving role of human programmers in the future landscape of technology.
- Contrary to alarmist claims, the need for engineers and coding proficiency remains high, with the emphasis shifting towards comprehensive technical understanding rather than mere coding ability.
- Business interests and viral messaging often fuel the narrative of coding obsolescence, masking the enduring importance of coding skills in the tech industry.
- The discourse on coding's future underscores the ongoing relevance of cultivating coding proficiency alongside adaptive problem-solving abilities in the rapidly evolving technological domain.
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Analyticsindiamag
4w
436
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Chhattisgarh Unveils ₹1000 crore AI-Based Data Centre Park
- Chhattisgarh's CM inaugurated one of India's first AI-based data centre parks in Raipur with an estimated ₹1000 crore funding.
- The park, developed on 13.5 acres of land, focuses on AI services with an initial capacity of 80 MW, expandable to 150 MW.
- The project by Rack Bank Data Centres will offer AI services in various sectors like Health Tech, Fintech, Defence, and Agriculture.
- The data centre park aims to create job opportunities while enhancing government services and promoting digital self-reliance in the state.
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Analyticsindiamag
4w
406
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OpenAI to Acquire Windsurf for $3 Billion to Dominate AI Coding Space
- OpenAI to acquire Windsurf for $3 billion to dominate AI coding space, as reported by Bloomberg.
- Windsurf, initially launched as Exafunction, evolved into a coding platform by MIT graduates Varun Mohan and Douglas Chen.
- Windsurf currently valued at $1.25 billion with plans to raise funds that could value it at $3 billion.
- OpenAI's focus on integrating powerful coding capabilities; new models achieve higher benchmark numbers in coding tests.
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HRKatha
4w
423
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Oracle to skill 4 lakh students in Andhra Pradesh, make them employable
- Oracle and Andhra Pradesh State Skill Development Corporation (APSSDC) collaborate to provide skills development training to four lakh students in Andhra Pradesh to enhance their employability.
- The training will be delivered through Oracle MyLearn platform, offering access to digital training material and foundational certifications in various technologies like Oracle Cloud Infrastructure, AI services, Data Science, DevOps, and Security.
- The initiative aims to create a highly-skilled IT workforce in Andhra Pradesh, offering training in cloud technologies, professional-level certifications, and additional training tailored to individual learning levels and educational goals.
- Students will also earn badges showcasing their readiness for specialized job roles, facilitating their job placement within the state.
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Stackexchange
4w
347
Continued from another question: is a bitncoin not a single number?
- Finding the nonce for a block in the blockchain is equivalent to creating a small fraction of a bitcoin.
- When a nonce is found for the next block, creating n bitcoin worth of value, the user's ID is updated with the additional credit of n bitcoin on the chain.
- After a block is mined, such as block 1000, the focus shifts to finding the nonce for the next block, like block 1001, as future blocks cannot be mined until the previous ones are finalized.
- The competition in mining is centered around finding the specific nonce for the next block in the chain, not on searching for any possible bitcoin value, similar to the diminishing availability and increasing difficulty of finding gold.
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Medium
4w
62
Image Credit: Medium
Kaleigh McGraw — Why Everyone Should Learn to Code (Even Just a Little)
- Learning to code is important as it helps in understanding the digital world and improves problem-solving skills by breaking down complex challenges.
- Coding is accessible for everyone, and platforms like Codecademy, freeCodeCamp, and Khan Academy offer beginner-friendly courses without the need for a computer science degree.
- Coding allows individuals to create their projects, such as blogs, financial automation, or games, providing a sense of accomplishment.
- Regardless of age, learning to code can enhance career opportunities, boost creativity, and provide a deeper understanding of the world we live in.
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Towards Data Science
4w
438
The CNN That Challenges ViT
- Researchers from Meta challenged the idea that ViT's performance superiority solely comes from its transformer-based architecture by applying ViT configuration parameters to ResNet model from 2015, resulting in ConvNeXt which surpassed Swin-T in performance.
- ConvNeXt involves hyperparameter tuning on ResNet model, adjusting macro design, transitioning to ResNeXt architecture, implementing inverted bottleneck structure, exploring kernel sizes, and optimizing micro designs like activation functions and layer normalization.
- Macro design changes include altering stage ratios and the first convolution layer's kernel size and stride to match non-overlapping patch treatment in ViT, improving accuracy slightly.
- ResNeXt-ification involves adjusting group convolution and widening the network to increase accuracy to 80.5% despite a drop due to reduction in model capacity.
- Experimenting with inverted bottleneck structure and kernel sizes, ConvNeXt achieved a peak accuracy of 81.5% by employing separate downsampling layers and reducing batch normalization layers.
- The ConvNeXt architecture is constructed with stem stage, subsequent ConvNeXt blocks in multiple stages, dimension reductions, avgpool layer, and fully-connected output layer, showcasing successful reduction in spatial dimensions and increased channel capacity.
- Implementation of ConvNeXt model involves ConvNeXtBlock and ConvNeXtBlockTransition classes, demonstrating the transition between stages while maintaining accuracy and capacity improvements iteratively.
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Towards Data Science
4w
245
Diffusion Models, Explained Simply
- Generative AI applications in text, image, audio, and video have seen a surge in popularity.
- Diffusion models, introduced in 2015, are core mechanisms in models like DALLE and CLIP.
- Diffusion models are essential for content generation and understanding advanced variants.
- Forward diffusion involves gradually adding noise, similar to mixing liquids in a glass.
- Reverse diffusion, like reconstructing a noisy image, is more challenging.
- Diffusion models iterate noise addition to transform images into unrecognizable states.
- Training neural networks on image pairs from diffusion steps aids in image reconstruction.
- The number of iterations and neural network architecture impact diffusion model design.
- Using a shared network across iterations can enhance training efficiency in diffusion models.
- Stable diffusion models and integrating text input are advancing image generation.
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Medium
4w
370
M = L Reaffirmed:
- In the age of digital archives, where everything is saved but nothing is remembered, the concept of M = L (Memory equals Life) is being upheld as crucial for preserving the essence of life.
- Previously, memories were consciously chosen, cherished, and retained in personal memory cards, through repeated play of games, and collective storytelling, signifying their importance.
- However, with the modern era characterized by automatic capturing and saving of data, memories have lost their value despite the abundance in volume.
- Nostalgic experiences, like replaying old games and engaging in specific online rituals, hold deeper significance in our emotional memory than the vast array of current digital content.
- The act of selective memory, where intentional choices are made in what to remember, is emphasized as vital in defining one's identity in the digital age.
- The distinction between actively chosen memories and passively accumulated data highlights the importance of meaningful recollection in shaping individual narratives and experiences.
- Studies reveal that excessive reliance on external storage mediums like the cloud can lead to reduced internal memory retention and hinder the depth of emotional recall.
- The necessity of actively curating memories, as opposed to amassing vast quantities of data, is underscored in maintaining the significance and longevity of personal recollections.
- The concept of M = L is supported by empirical evidence demonstrating the impact of intentional memory practices and the enduring power of emotionally charged memories.
- Ultimately, the notion of Memory equals Life is reinforced through individual anecdotes and research findings, emphasizing the importance of deliberate memory curation for a meaningful existence.
- M = L stands as a testament to the enduring significance of chosen, cherished memories in shaping personal narratives and enriching the human experience.
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