A naukri.com initiative
Data Science News
Mit
3d
337
Image Credit: Mit
Ecologists find computer vision models’ blind spots in retrieving wildlife images
- Computer vision models, called multimodal vision language models (VLMs), are being evaluated for use in assisting ecologists retrieve relevant images for research. But a team of ecologists from MIT and University College London found that while VLMs performed reasonably well on straightforward queries, they struggled with identifying the specific biological conditions or behaviours requested by experts. The team's INQUIRE data set of five million wildlife images and 250 search prompts was used to evaluate the efficacy of the algorithms.
- The most advanced VLMs performed better at narrowing search results. However, more domain-specific training data for wildlife ecological searches is needed. The dataset has also proved useful for researchers wanting to analyse large image collections in observation-intensive fields, reports MIT News.
- Such datasets offer a great research tool for biology, ecology and environmental science experts. They provide evidence of organisms' behaviours, migration patterns and responses to pollution and climate change.
- VLMs are trained on both text and images and can identify finer details, such as the specific trees in the background of a photograph. But ecologists need more sophisticated image retrieval algorithms.
- MIT PhD student Edward Vendrow and colleagues hope that by familiarising VLMs with more informative data specific to biodiversity, such as the 33,000 carefully annotated nature photographs in the INQUIRE data set, they will help researchers find the exact images they need.
- Vendrow and his colleagues are also working on a query system to better help researchers and other users filter their searches by species and to improve the re-ranking system.
- The team's work is supported by the US National Science Foundation/Natural Sciences and Engineering Research Council of Canada Global Center on AI and Biodiversity Change, a Royal Society Research Grant, and the Biome Health Project funded by the World Wildlife Fund United Kingdom.
Read Full Article
20 Likes
Medium
3d
128
Image Credit: Medium
Earning Over $1,000 a Day Made Simple
- A system promising to generate over $1,000 a day has caught attention.
- The system includes the Fast Profit Blueprint, a step-by-step guide for earning online.
- Users have seen positive results by following the blueprint's practical strategies.
- The guide emphasizes setting realistic goals and building a niche audience for success.
Read Full Article
7 Likes
VentureBeat
3d
24
Image Credit: VentureBeat
Perplexity’s Carbon integration will make it easier for enterprises to connect their data to AI search
- AI search startup, Perplexity has acquired a startup, Carbon, specialising in data retrieval framework to smoothen knowledge discovery process in enterprise workflows.
- Carbon offers a universal API or SDKs to sync data sources and retrieve data for use with LLMs, supporting over 20 file formats, including text, audio and video files.
- Perplexity plans to integrate Carbon's retrieval engine and connectors into its tech stack to plug-in diverse sources of data, expanding the AI search engine knowledge pool to give a more comprehensive and personalised search experience.
- Sanjeev Mohan, former Gartner Research VP for data and analytics, told venturebeat that one of the biggest AI trends for 2025 will be ETL for unstructured data, allowing entities to generate relevant and accurate responses.
- Through the acquisition, prospect for enterprise teams using the AI search engine is streamlined workflows, using the platform to extract insights from diverse sources including customer conversation insight.
- The real test of execution for the two startups will be on the safety of the startup's much more secure company data to ensure companies can keep their data privately.
- Carbon's managed API ends on March 31, 2025. Existing customers using the API have already been informed of the decision, with the Carbon team assisting users in the transition.
Read Full Article
1 Like
Medium
3d
249
Image Credit: Medium
Web Designing Basics Guide
- Web designing is the art of creating visually appealing and functional websites.
- A well-designed website enhances user experience, brand credibility, and conversions.
- Designers use tools like Adobe XD, Figma, and Canva to create wireframes and prototypes.
- Basic knowledge of HTML, CSS, and JavaScript is essential for web design.
Read Full Article
15 Likes
Medium
3d
40
Image Credit: Medium
China's Digital Currency: An Overview
- China has developed the Digital Currency Electronic Payment (DCEP), known as the digital yuan, as a central bank digital currency (CBDC) project.
- The digital yuan aims to bring financial inclusion, improve efficiency, enhance security and transparency, and facilitate international trade.
- Pilot programs have been conducted in cities like Shenzhen, Suzhou, and Beijing to test the digital yuan's real-world application.
- While the digital yuan differs from decentralized cryptocurrencies, its implementation could have significant impacts on China's financial operations and global finance.
Read Full Article
2 Likes
Medium
3d
193
Image Credit: Medium
Embeddings Unveiled: The Hidden Language of Data Science (with python examples)
- Embeddings solve the problem of traditional approaches to data representation.
- There are various approaches for embedding models like Word2Vec, GloVe, FastText.
- LSA is a widely-used approach that uses Singular Value Decomposition (SVD) for dimensionality reduction.
- Probabilistic Topic Modeling (PTM) is a popular technique that uses generative models to determine the latent topics in a corpus of documents.
- ELMo uses a bidirectional language model (BiLM) to create dynamic and contextualized embeddings for words.
- BERT is a pretrained language model designed to understand the context of a word in relation to the words surrounding it.
- GPT is primarily designed for text generation tasks and uses the decoder part of the Transformer architecture.
- T5 is a model that treats every NLP task as a text-to-text problem.
- GPT-3 is one of the largest and most influential foundation models in NLP and is autoregressive.
- PaLM is built on the Pathways architecture, which enables it to learn from a more diverse set of tasks.
- LaMDA is specially designed for dialogue generation and training to improve the quality of conversation in open-ended dialogues.
Read Full Article
11 Likes
Medium
3d
60
Image Credit: Medium
Understanding Bubble Sort Algorithm: A Step-by-Step Guide
- Bubble Sort is an easy sorting algorithm that repeatedly steps through the list, compares adjacent elements, and swaps them if they are in the wrong order.
- The time complexity of Bubble Sort is O(n²) in the worst and average cases, where n is the number of elements in the array.
- In the best-case scenario, when the array is already sorted, the algorithm can terminate early due to the isSwapped optimization, resulting in a time complexity of O(n).
- Bubble Sort is an excellent algorithm for educational purposes due to its simplicity, but it is not suitable for large datasets due to its quadratic time complexity.
Read Full Article
3 Likes
Medium
3d
60
Vigilant Eyes: Unleashing the Power of Autonomous Real-Time Insights
- Autonomous monitoring leverages advanced technologies like AI, ML, and data analytics for real-time system monitoring.
- Self-serve real-time monitoring provides users with intuitive tools to monitor, analyze, and respond to data in real-time.
- Anomaly detection in self-serve real-time monitoring helps identify unusual patterns and behaviors.
- Self-serve real-time monitoring has applications across various industries and revolutionizes monitoring, detection, and response.
Read Full Article
3 Likes
Medium
4d
100
Image Credit: Medium
The Data Science Lifecycle: From Data Collection to Insights
- Data Collection: Gathering data from various sources, including databases, web services, and user-generated content.
- Data Preparation: Cleaning, organizing, and standardizing the collected data for analysis.
- Data Exploration: Using visualization tools to understand the dataset's structure, identify patterns, and detect anomalies.
- Data Modeling: Creating statistical and machine learning models to analyze the data and make predictions.
Read Full Article
6 Likes
Medium
4d
8
Igniting the fires of significant personality, change within the chronicles of Narnia and fight…
- In both 'The Chronicles of Narnia' and 'Fight Club,' significant moments serve as 'fire starters' that ignite profound changes in the protagonists.
- These pivotal scenes act as catalysts for rebellion against oppressive forces, leading to a transformation of identity and purpose.
- The sacrifice of Aslan in Narnia and the explosive climax in Fight Club symbolize moments of confrontation and awakening.
- These moments of conflict and awakening lead to a deeper understanding of oneself and a courageous stand against evil.
Read Full Article
Like
Medium
4d
213
Image Credit: Medium
Data Quality Unleashed: Enhancing Accuracy with Bright Data’s YouTube Comment Scraper
- YouTube comments can provide valuable insights into customer sentiment and engagement levels
- Data quality is crucial to ensuring that insights gleaned from YouTube comments are accurate
- Bright Data’s YouTube Comment Scraper can help businesses collect data quickly and accurately
- Reliable data collection tools are essential to avoid missed opportunities and misguided decision-making
- Data validation processes are important to ensure data consistency and accuracy
- Combining quantitative and qualitative analysis can provide a more comprehensive understanding of the audience
- Bright Data stands out in the field of data scraping by prioritizing accuracy and compliance
- Integration is key to leveraging the full potential of scraped data
- AI can significantly enhance the capabilities of data scraping tools like Bright Data’s YouTube Comment Scraper
- Prioritizing data quality allows businesses to build a strong foundation for data-driven decision-making and long-term success
Read Full Article
12 Likes
Medium
4d
379
Image Credit: Medium
Maximize Campaign ROI with Bright Data’s Proxy Solutions for Digital Marketers
- Bright Data’s proxy solutions offer marketers unparalleled access to web data, providing comprehensive insights into market trends, competitor strategies, and consumer behavior.
- Proxies act as intermediaries between a user and the internet, allowing marketers to access web data anonymously and from different geographical locations.
- Bright Data proxies ensure that marketers have access to the most accurate and up-to-date information available, with a network of over 72 million residential IPs.
- Bright Data also offers datacenter and mobile proxies, ideal for tasks that require high-volume data collection and providing access to mobile network IPs.
- Using Bright Data’s proxy solutions ensures data-driven decisions that optimize campaigns, allocate resources efficiently and achieve better results with seamless data collection.
- Reliable data is the backbone of any successful digital marketing campaign, informing decisions from targeting and segmentation to messaging and channel selection.
- Efficient bandwidth usage is another advantage of using Bright Data’s proxy solutions, leading to cost savings achieved through IP rotation and session management.
- Bright Data’s proxies enable marketers to test and optimize their strategies on a global scale, reaching broad audiences, and tailoring their campaigns to meet the unique needs of each audience.
- Bright Data’s advanced IP rotation technology ensures that marketers can collect data without being detected or blocked by websites, maintaining the accuracy and reliability of collected data.
- As digital marketing continues to evolve, staying ahead of new trends is crucial for success. Bright Data’s proxy solutions provide marketers with comprehensive data on consumer behavior, market trends, and competitor strategies to keep them ahead of the curve.
Read Full Article
22 Likes
Medium
4d
0
Can AI Spot the Next Bitcoin Before It’s Too Late?
- AI and machine learning algorithms can analyze trends and patterns in vast amounts of data from multiple sources, which could provide valuable insights into the cryptocurrency market beyond what humans can do.
- AI can use blockchain data to identify trends in transaction volume, wallet activity, and token holder distribution.
- Natural Language Processing (NLP) allows AI to measure market sentiment from social media platforms.
- AI can track developer activity on platforms such as GitHub to determine which cryptocurrencies have the potential for long-term growth.
- Machine learning models can analyze price trends, detecting momentum, and predicting potential reversals.
- Cryptocurrencies are decentralized and speculative assets with limited historical data, driving their values through network adoption, technological advancements, and social media trends.
- The unpredictability of cryptocurrencies has risks and implications for a country’s economy, and successful adoption or innovation could create jobs, boost technological development, and attract investments.
- AI’s role in the cryptocurrency market is evolving, and while it can’t guarantee success, it can help investors navigate this complex landscape more effectively by analyzing data, identifying trends, and minimizing risks.
- To balance its promise and peril, regulating the cryptocurrency market through prediction becomes vital.
- Investors should look deeper into cryptocurrencies beyond surface metrics to assess project sustainability.
Read Full Article
Like
Medium
4d
331
What is c++?
- C++ is one of the world's most popular programming languages used in operating systems, Graphical User Interfaces, and embedded systems.
- C++ is an object-oriented programming language which provides clear structure to programs and allows code reusability, reducing development costs.
- C++ is portable and can be utilized for developing applications that can be adapted to multiple platforms.
- C++ is closely related to C, C#, and Java, making it easy for programmers to switch between these languages.
Read Full Article
19 Likes
Analyticsindiamag
4d
113
Image Credit: Analyticsindiamag
OpenAI, Andrew NG Introduce New Course on Reasoning with o1
- DeepLearning.AI has released a new, free short course titled ‘Reasoning with o1’ in partnership with Colin Jarvis from OpenAI.
- The course focuses on optimizing the capabilities of the o1 model, which generates thoughtful and accurate responses by generating reasoning tokens.
- OpenAI recently announced API access to its o1 model, designed for advanced tasks like workflow planning, coding, and problem-solving.
- The course covers task identification, new prompting techniques, multi-step orchestration, coding applications, image understanding, meta-prompting, and reinforcement learning to enhance o1's performance.
Read Full Article
6 Likes
For uninterrupted reading, download the app