A naukri.com initiative
Data Science News
Dev
2w
17
Image Credit: Dev
What is algorithm: Concept, history, current situation, use cases and application scenarios?
- An algorithm is a step-by-step procedure or set of rules designed to solve a specific problem or perform a computation.
- The concept of algorithms dates back to ancient civilizations, and they have become a crucial part of technological advancements in various domains.
- Today, algorithms are used in artificial intelligence, big data processing, cryptography, optimization, and quantum computing.
- Algorithms have applications in search engines, e-commerce, healthcare, finance, transportation, social media, gaming, robotics, climate modeling, and cryptocurrency.
Read Full Article
1 Like
Medium
2w
418
Image Credit: Medium
What Happens When You Tell an LLM It Has an iPhone Next to It?
- The article discusses the influence of environmental cues on human cognitive performance and language model behavior.
- The author conducted an experiment to test if telling a language model about an environmental condition, like having a phone nearby, would impact its performance.
- Results showed that while the presence of a phone impaired human performance, suggesting it to the language model improved its performance.
- An open-source script named EvaluateGPT was used to evaluate the effectiveness of the language model prompt in generating SQL queries.
- Findings revealed that adding a sentence in a lengthy system prompt significantly enhanced the accuracy of the Gemini Flash 2 model in generating SQL queries.
- The study suggests potential practical applications in improving the accuracy of language models by understanding their thought processes.
- The importance of diversity of thought is highlighted in the author's nontraditional approach combining psychology, AI, and software engineering skills.
- However, the article cautions that the results are specific to the Gemini Flash 2.0 model and SQL query generation, and may not apply universally to all language models or tasks.
- The limitations of the study include the small sample size of 20 questions and the need for more robust experimentation for generalizability.
- The author is open to expanding the research and potentially publishing a more comprehensive paper based on the traction this study receives.
- For transparency, the author has shared the full output, system prompts, and evaluations on Google Drive, along with releasing EvaluateGPT for evaluating LLM output effectiveness.
Read Full Article
25 Likes
Medium
2w
176
The Threat You Can’t Scan For
- Veriduct is a framework that challenges the core principle of digital security by shattering files into SHA-256 hashed fragments and storing them independently.
- Antivirus and forensics tools fail to detect Veriduct as there is no file to scan or analyze until it is reassembled with a specific key map.
- Veriduct can be used both offensively, for undetectable ransomware or covert data couriers, and defensively, for secure storage and dissemination of sensitive information.
- Veriduct removes the burden of existence and presence, making it difficult to defend against or detect until it is reassembled.
Read Full Article
10 Likes
VentureBeat
2w
349
Image Credit: VentureBeat
Anthropic flips the script on AI in education: Claude’s Learning Mode makes students do the thinking
- Anthropic introduced Claude for Education, a specialized AI assistant aimed at developing students' critical thinking skills.
- The centerpiece of Claude for Education is 'Learning Mode', where students are prompted with Socratic questioning rather than receiving direct answers.
- Partnerships with universities like Northeastern, London School of Economics, and Champlain College aim to test the effectiveness of AI in enhancing the learning process.
- Anthropic's approach with Claude for Education focuses on designing AI to act as a digital tutor and improve learning outcomes, rather than being solely answer-based.
Read Full Article
21 Likes
Analyticsindiamag
2w
120
Image Credit: Analyticsindiamag
India Tech Sees Women’s Workforce Share Climb to 32% in 2025: DE&I Report
- India’s technology sector is witnessing a notable shift in Diversity, Equity, and Inclusion (DE&I) with women’s participation in the workforce growing to 32% in February 2025, compared to 29% last year.
- IT/ITeS and Pharma & Healthcare sectors are leading in driving gender diversity in India's technology sector.
- 75% of companies have a formal DE&I policy in 2025, an increase from 68% in 2024. However, only 14% of startups allocate a budget for DE&I efforts.
- The survey also found that the representation of non-binary and transgender employees increased from 1% in 2024 to 1.5% in 2025.
Read Full Article
7 Likes
VentureBeat
2w
181
Image Credit: VentureBeat
Uplimit raises stakes in corporate learning with suite of AI agents that can train 1,000 employees simultaneously
- Uplimit launched a suite of AI agents for corporate learning, targeting at rapid upskilling with reduced administrative burdens.
- The three sets of AI agents released are skill-building agents, program management agents, and teaching assistant agents.
- Uplimit focuses on addressing the skills gap accelerated by the advancement of AI, aiming to provide continuous learning at scale and speed.
- The company emphasizes active learning over passive content consumption, achieving completion rates exceeding 90 percent.
- Early customers have reported significant efficiency gains in course creation and instructor time reduction.
- The launch of Uplimit's AI agents aligns with concerns about AI's impact on employment and the need for effective upskilling solutions.
- The company ensures enterprise-grade security and privacy features to address potential data concerns.
- Uplimit sees an opportunity in using AI for upskilling programs, combating fear and misconceptions around the technology.
- The CEO, Julia Stiglitz, envisions AI enhancing the connection between learning and measurable business outcomes.
- Backed by prominent investors, Uplimit is well-positioned in the corporate learning market to help companies integrate AI solutions for workforce adaptation.
Read Full Article
10 Likes
Analyticsindiamag
2w
56
Image Credit: Analyticsindiamag
5 AI Platforms That Will Help You Get Your Next Job
- Careerflow is a job search platform that focuses on LinkedIn profile optimization and offers automated job tracking capabilities and AI-generated cover letters.
- Autojob is an all-inclusive job application platform that uses automation and AI technology to increase hiring chances by up to three times, with features including one-click job applications and personalized email outreach to recruiters.
- Sonara operates as an AI recruiter, providing automated job applications, resume optimization, real-time analytics on application status, and a built-in virtual assistant with guides and resources.
- Prepper is an AI interview coach that helps candidates prepare for interviews by generating job-specific interview questions and providing answer evaluation and feedback.
Read Full Article
3 Likes
Analyticsindiamag
2w
17
Image Credit: Analyticsindiamag
OpenAI Launches Free AI Courses for Learners Worldwide
- OpenAI has announced the next phase of its Academy, introducing a free online resource hub to promote AI literacy and accessibility and introduce new courses.
- The platform offers a variety of free resources including video tutorials, courses, and workshops covering basic AI concepts, ChatGPT usage, prompt engineering, and more.
- OpenAI is partnering with institutions and organizations to launch AI literacy workshops and develop AI education frameworks for various audiences and regions.
- OpenAI aims to collaborate with governments to enhance AI literacy and workforce readiness through policy collaborations and international partnerships.
Read Full Article
1 Like
Medium
2w
271
Image Credit: Medium
Deep Learning, Simplified: How to Explain 20+ Models in an Interview
- Deep learning powers some of the most groundbreaking AI applications today.
- The most influential deep learning models are broken down in this article.
- Perceptron is the basic building block of a neural network for binary classification.
- Multilayer Perceptron (MLP) and Convolutional Neural Network (CNN) are also explained.
Read Full Article
16 Likes
VentureBeat
2w
228
Image Credit: VentureBeat
Zencoder’s ‘Coffee Mode’ is the future of coding: Hit a button and let AI write your unit tests
- Zencoder unveils its next-generation AI coding and unit testing agents, positioning itself as a competitor to GitHub Copilot and Cursor.
- The AI agents are integrated into popular development environments and tools like Visual Studio Code, JetBrains IDEs, JIRA, GitHub, and more.
- Zencoder's approach focuses on operating within existing workflows instead of requiring developers to switch platforms.
- The company claims performance advantages and significant success rates on industry benchmarks like SWE-Bench Verified and SWE-Lancer IC Diamond.
- Zencoder's proprietary technology 'Repo Grokking' analyzes codebases for contextual understanding enhancing AI agents' capabilities.
- A notable feature is 'Coffee Mode' allowing developers to let AI agents work autonomously, writing code and generating unit tests while they step away.
- Zencoder emphasizes the importance of integrating AI coding tools effectively into existing workflows and avoiding overestimating AI capabilities.
- The company offers pricing tiers including a free basic version, a Business tier at $19 per user per month, and an Enterprise tier at $39 per user per month.
- Zencoder plans to focus on improving its agents' performance, expanding language support, and ensuring production-ready code generation with testing and security checks.
- Founder Andrew Filev predicts significant changes in the software development landscape by the end of 2025, with a new generation of AI coding assistance emerging.
Read Full Article
13 Likes
VentureBeat
2w
194
Image Credit: VentureBeat
Augment Code debuts AI agent with 70% win rate over GitHub Copilot and record-breaking SWE-bench score
- Augment Code launched its new “Augment Agent” technology focusing on complex software engineering projects over code generation.
- The company achieved the highest SWE-bench score by combining Anthropic’s Claude Sonnet 3.7 with OpenAI’s O1 reasoning model.
- Augment Code raised $270 million in funding, with investors including Sutter Hill Ventures, Index Ventures, and Lightspeed Venture Partners.
- Augment Agent stands out with a 200,000 token context window for understanding context across massive codebases.
- The company's real-time synchronization of code changes across teams differentiates it from competitors.
- Augment Code reports a 70% win rate over GitHub Copilot in enterprise competitions.
- The “Memories” feature in Augment Agent learns from developer interactions to align with individual coding styles.
- Augment emphasizes the importance of aesthetic and structural elements in coding alongside mathematical logic.
- Augment Code addresses concerns about intellectual property protection and security in AI coding tools.
- Augment Agent is now available for VS Code users with full compatibility in Microsoft's ecosystem.
Read Full Article
11 Likes
Analyticsindiamag
2w
269
Image Credit: Analyticsindiamag
How Will China Make Money With AI if Its Models are Open Source?
- In 2014, China disrupted the smartphone market in India with budget-friendly, high-quality options like Xiaomi and OnePlus, setting a trend for affordable technology.
- China is now poised to replicate its success in smartphones with AI, distributing powerful open-source models from companies like DeepSeek and Tencent.
- Balaji Srinivasan suggests that China will profit from selling cost-effective, top-notch AI hardware, such as self-driving cars and drones.
- Chinese EV company BYD's success in revenue surpassing Tesla and offering budget-friendly EVs indicates a potential playbook for AI-enabled devices.
- BYD's advancements in technology, such as faster-charging batteries and advanced driver assistance systems, showcase its competitive edge.
- Other Chinese EV makers are also gaining traction by offering affordable options and targeting younger consumers seeking value for money.
- Unitree, a Chinese robotics company, is disrupting the industry by selling AI-focused products like the Go2 robot at a fraction of the cost of competitors like Boston Dynamics.
- China's strategy of producing high-quality technology at scale for lower prices, as seen with Unitree's robot offerings, presents a promising outlook for AI-enabled hardware.
- However, China faces challenges with semiconductor restrictions and global tariffs, impacting its chip ecosystem and potential exports.
- Despite these challenges, China's approach to AI hardware may lead to significant success by focusing on affordability and quality in the global market.
Read Full Article
16 Likes
Analyticsindiamag
2w
358
Image Credit: Analyticsindiamag
Why Developers are Cancelling Cursor Subscriptions
- Developers are cancelling subscriptions to Cursor, a once-popular AI coding assistant, due to declining performance, hidden costs, and a shift away from its original developer-centric focus.
- Issues with Cursor include declining usefulness, hidden charges, and deteriorating performance according to developers who have been long-time users.
- Introduction of Anthropic’s Claude Sonnet 3.7 is cited as a starting point for Cursor's downfall, with reports of auto-uninstallation and refusal to uninstall.
- Users have noted a decrease in precision, struggling to understand related code, and an increased need for manual intervention with Cursor.
- Developers are transitioning to alternatives like Google’s Gemini 2.5 and Codeium’s Windsurf, praising the latter for context handling and accuracy.
- Cursor faced backlash for the introduction of a costly MAX plan, additional prompt fees, and charging for services available for free through Google’s API.
- Complaints include unclear pricing, catering more towards beginners, and a lack of communication and responsiveness to user feedback.
- While some developers still find value in Cursor for auto-coding, many are switching to alternatives like RooCode, Cline, and Windsurf.
- Autocomplete remains a standout feature of Cursor, but developers are exploring other tools like RooCode and Cline due to trust issues.
- The coding community is looking for developer-centric AI tools, with JetBrains and VSCode being cited as examples of balancing developer needs with broader market reach.
Read Full Article
21 Likes
Analyticsindiamag
2w
1.8k
Image Credit: Analyticsindiamag
Meta’s AI Research Head Joelle Pineau Announces Resignation
- Joelle Pineau, vice president of AI Research at Meta, has announced her resignation.
- Pineau, who joined Meta in 2017, revealed in a LinkedIn post that her last day will be May 30.
- Meta plans to invest $65 billion in AI infrastructure this year and Pineau's departure comes as the company intensifies its focus on AI.
- Pineau played a pivotal role in advancing AI research at Meta, leading the Fundamental AI Research (FAIR) group and spearheading projects like PyTorch and Llama.
Read Full Article
7 Likes
Medium
2w
327
Image Credit: Medium
Late Chunking in LLM Pipelines: A Deep Dive into Optimized Text Retrieval
- Late chunking is a query-driven segmentation technique that allows more flexible and dynamic document segmentation at retrieval time based on the query.
- Late chunking provides distinct advantages over traditional early chunking methods, including better contextual awareness, reduced indexing overhead, better query adaptability, and improved performance of language and learning models (LLMs).
- Optimizations to enhance the efficiency of late chunking include efficient embedding retrieval, adaptive windowing, vector pruning, parallelized late chunking, and re-ranking with LLMs.
- Late chunking is particularly effective in domains such as enterprise knowledge management, legal document search, medical Q&A systems, technical support chatbots, and scientific research assistants.
Read Full Article
19 Likes
For uninterrupted reading, download the app