A naukri.com initiative
Data Science News
Medium
1M
9
Image Credit: Medium
The Silent Roads..
- The roads had an unusual charm, as if they were alive and breathing.
- Luke noticed something strange when he stopped at a gas station and the attendant seemed unusually interested in his destination.
- The road started to change, with darker asphalt and narrower lines. The surroundings became more immersive, with trees forming a tunnel-like canopy.
Read Full Article
Like
Dev
1M
200
Image Credit: Dev
Move Zeroes to the End of an Array: A Practical Guide
- The challenge is to transform an input array by moving all zeroes to the end while preserving the relative order of other elements.
- A naïve approach involves creating a new array by traversing the input array and appending zeroes to the end.
- An optimized solution uses a two-pointer technique to rearrange the array in-place by moving non-zero elements to the front.
- This approach is better because it operates in-place, is more efficient, and mimics practical scenarios where optimized solutions are necessary.
Read Full Article
12 Likes
Analyticsindiamag
1M
438
Image Credit: Analyticsindiamag
AI Learns to Feel
- Consumers place a high value on the way automated assistants respond to human emotions, Microsoft AI CEO Mustafa Suleyman has said, adding that tools that add emotional intelligence to LLMs would become critical to competition between AI suppliers.
- Emotionally-aware AI enhancements can enable interactions between people and LLMs to become more fluid and conversational.
- Embi, dubbed 'AI with emotional intelligence', which secured $50m in a second funding round last year and has released its new EVI model following specialised emotional intelligence training, is one of a number of companies tackling the issue.
- EmoBench, a popular benchmarking test, has been used to assess LLMs' emotive capabilities, while tests used to measure “expressivity” and “empathy” showed that OpenAI’s GPT4 was closest to humans in terms of emotional understanding.
- As AI efforts to understand and respond to humans improve, problems have arisen including gender bias, the possibility of excessive attachment, and LLMs performing satisfactorily in the output of generalised text, but struggling in recognising gender and expressing similar or conflicting emotions.
- Anthropic sees emotions as important in enhancing Claude, its flagship LLM model that fits into a broader plan for an online personality that appears authentic, without becoming overbearing or losing emotional boundaries.
- A cautionary warning has been provided, however, over the potential for people to form emotional attachments to AI models and reduce their need for human interaction.
- According to one report, a user actually died after becoming deeply attached to an AI personality, a development that illustrates the risks that AI developers face in trying to build emotionally convincing, near-humanlike automated assistants.
- Anthropic's current goal is to add an authentic personality to its AI model, and to improve Claude's ability to ask meaningful follow-up questions, a hallmark of successful conversations between humans.
- As the AI industry continues to move toward integrating more emotionally intelligent models, developers will need to balance their applications' empathy with a sense of personal responsibility.
Read Full Article
26 Likes
Medium
1M
109
EngineeringOps: The Backbone of Data-Driven Progress
- EngineeringOps has become a critical driver of success in the complex future.
- Operational excellence is ensured by EngineeringOps through reliable data flow.
- EngineeringOps enables seamless scaling of data engineering.
- It empowers data science teams to deliver impactful insights faster.
Read Full Article
6 Likes
Medium
1M
237
Understanding Probability Events: The Foundation of Data Exploration
- Probability is the mathematical framework that helps us measure the likelihood of an event occurring.
- Probability plays a vital role in exploring datasets, identifying patterns, and building predictive models in data science.
- Essential terms in probability include random experiment, outcome, sample space, sample point, and event.
- Probability events form the basis of understanding uncertainty, patterns, and relationships in datasets.
Read Full Article
14 Likes
Medium
1M
210
Image Credit: Medium
Common Challenges in Learning Machine Learning and Data Science
- Learners of machine learning and data science face various challenges on their journey.
- Challenges include difficulties with the mathematical foundation and overwhelming choices of programming languages and libraries.
- Applying theoretical knowledge in real projects and dealing with memory limitations are also common challenges.
- Staying updated with the rapidly evolving field and the misconception of quick mastery are additional challenges.
Read Full Article
12 Likes
Medium
1M
375
Image Credit: Medium
XBANKING (XB): The Future of DeFi with Unmatched Opportunities
- XBANKING is a comprehensive DeFi platform that supports staking, restaking, and liquidity pools across 35+ blockchains, offering unparalleled flexibility and opportunities for earning rewards.
- The XB token is the cornerstone of the XBANKING ecosystem, offering a wide range of utilities and rewards. Stake XB tokens to earn attractive yields, receive free tokens and NFTs, and use XB tokens for payments within the platform.
- XBANKING is the pioneer of restaking, a concept that allows users to earn additional rewards by re-staking liquid staked tokens. Restaking is available for multiple tokens, including ETH, SOL, and TON.
- XBANKING boasts the largest DeFi ecosystem globally, regularly rewarding its community through daily airdrops of tokens and NFTs. The platform is continuously developing groundbreaking new products and features.
Read Full Article
22 Likes
Medium
1M
101
Image Credit: Medium
# 150 Must-Have TEMU Gadgets for Your Home: Elevate Your Everyday Routine in November 2024!
- Smart Trash Can - No-touch sensor technology for clean and hygienic living.
- Multi-Function Food Processor - A compact appliance that replaces multiple utensils.
- LED Closet Light with Motion Sensor - Energy-efficient light illuminates dark spaces.
- Air Fryer - Enjoy crispy meals with less oil for a healthier cooking experience.
Read Full Article
6 Likes
Medium
1M
347
The Rising Threat of Cybercrime: How to Protect Yourself in an Increasingly Digital World
- Cybercrime involves illegal activities on computers, networks or digital devices ranging from simple fraud to complex cyberattacks.
- Phishing attacks, ransomware, identity theft, data breaches, cyberbullying, financial fraud, and investment scams are the major types of cybercrimes.
- The financial toll of cybercrime can be devastating for individuals, including the loss of savings and incurring substantial debt due to identity theft or fraud.
- Similarly, businesses may suffer from data breaches leading to the loss of customer trust, regulatory fines, and legal costs.
- To protect yourself from cybercrime, it is essential to use strong, unique passwords, enable Two-Factor Authentication, be wary of phishing scams, keep software updated, be cautious on public Wi-Fi but consider using a VPN to encrypt your internet connection, monitor your financial accounts, and educate yourself and others.
- As technology continues to advance, cybercrime may become more sophisticated and harder to detect.
- Collaboration between law enforcement agencies worldwide is becoming more important in tracking down cybercriminals and holding them accountable.
- You must stay vigilant, stay informed, and protect your online presence to minimize the impact of cybercrime.
Read Full Article
20 Likes
VentureBeat
1M
292
Image Credit: VentureBeat
Our brains are vector databases — here’s why that’s helpful when using AI
- AI technology uses vector databases, which mirror how the human brain processes and retrieves information. Vectors act like GPS coordinates for ideas, meaning the mathematical coordinates map and contextualize concepts, meanings, and relationships. Reading, writing, and querying are the three core skills needed to interact with AI, as machines rely on searching for patterns and relationships, much like the human brain does when recalling a memory. When communicating with AI, it is essential to know how information connects and relates, as this will help guide these systems to insights more effectively.
- Reading in the AI age requires processing and synthesizing complex information quickly and accurately.
- Writing for AI requires precision and structure, aiming to communicate in ways that machines can interpret.
- Querying is about asking questions in ways that optimize AI's capabilities and human intuition.
- The future of AI-augmented economy requires communication skills that can maintain human creative qualities with AI's analytical prowess.
- Vector databases excel at compression, organizing information hierarchically, and identifying similar patterns and connections between terms. Developing such skills for interacting with AI means those with human insights can complement AI and not be replaced by it.
- Qatafa AI's founder, Khufere Qhamata, recommends understanding how information connects and relating this knowledge machine technology to develop effective AI-communication skills. The future lies in technology enhancing, rather than replacing, human capabilities.
Read Full Article
17 Likes
Medium
1M
18
Image Credit: Medium
“125 Next-Level Gadgets from Amazon & Temu You Need Now”
- Explore the latest cutting-edge gadgets designed to enhance your daily life.
- Revolutionary viewing experiences with LG Transparent OLED TV and Nano Transparent Projection Screens.
- Streamline everyday tasks with Dyson Wash G1 and VAC Seal Pro.
- Stay connected with Microsoft Project Silica and Kenu Stance Plus.
- Ensure safety and support with Emergency Radio FRX 3 Plus and Ieros Line Thrower.
Read Full Article
1 Like
Medium
1M
365
Image Credit: Medium
8 Astonishing Ways Agentic AI is Revolutionizing Industries
- Agentic AI is revolutionizing industries by autonomously crafting content, orchestrating complex tasks, and collaborating like bees in a hive.
- It operates by gathering data, using reasoning skills to create unique solutions, and continuously learning and refining its craft.
- Partnering with companies like NVIDIA, Agentic AI is transforming how we manage and access data.
- As we navigate this AI landscape, ethical considerations and the balance between technological advancement and job displacement become crucial.
Read Full Article
21 Likes
Medium
1M
424
Image Credit: Medium
The AI Doctor Will See You Now: Navigating the Path to AGI in Healthcare
- AI is already being applied in healthcare, with medical imaging analysis being one of the most common applications
- However, a critical evaluation is required to understand if the data is being interpreted correctly and if the model is being trained properly.
- AI in healthcare comes with stacks of challenges that need to be addressed to ensure safe and useful implementation on a larger scale.
- One of the limitations in healthcare AI development is an incomplete understanding of medicine itself. The AI systems can only learn from the data they are provided and unknown factors can limit AI decision-making processes.
- There is also an issue of data divide, meaning a disparity in AI training data that could lead to inequitable healthcare outcomes, potentially improving care for some populations while leaving others behind.
- Achieving Artificial General Intelligence (AGI) in healthcare will require more than just sophisticated algorithms. We’ll need systems capable of reasoning beyond surface-level predictions.
- Success in AGI hinges on accessing high-quality, clean, and comprehensive datasets. Without robust data, AI systems cannot make accurate correlations or address critical unknowns in medicine.
- Furthermore, AGI must have the ability to learn and adapt in real time as new evidence emerges, such as updated medical classifications or breakthroughs in treatment protocols.
- Defining clear goals and metrics, like reducing healthcare costs while improving patient outcomes, is also essential to prevent unintended consequences.
- We still have a considerable journey ahead to achieve AGI that is sufficiently capable of being safely deployed across the entirety of healthcare on a global scale.
Read Full Article
25 Likes
Medium
1M
45
Image Credit: Medium
What is the Role of AI in Stock Trading on the PSX || A Prediction Model Using Machine Learning
- AI has brought a huge shift in stock trading, including the Pakistan Stock Exchange (PSX).
- It uses machine learning, data analysis, and real-time decision-making to assist traders and investors.
- AI processes vast amounts of market data to make accurate predictions and identify patterns.
- Traders can predict market volatility and optimize trading strategies based on probabilities using machine learning models.
Read Full Article
2 Likes
Medium
1M
115
**Understanding JavaScript: A Comprehensive Guide**
- JavaScript is a dynamic typing, object-oriented, event-driven language.
- It has features like variables, data types, operators, functions, control flow, objects, and arrays.
- JavaScript interacts with the DOM for web page manipulation and supports asynchronous programming.
- It has frameworks and libraries like React.js, Node.js, and Vue.js, and follows best practices for debugging and coding.
Read Full Article
6 Likes
For uninterrupted reading, download the app