India's Vijender in 75 kg quarterfinal

London, Aug 3 (IANS) Fancied Indian boxer Vijender Singh moved closer to a podium finish as he pipped US rival Terrel Gausha 16-15 in a thrilling bout to enter the quarterfinal of the men's 75 kg boxing category at the Olympics here Thursday.

Vijender, a bronze medallist in the Beijing Asian Games four years back, played a brilliant tactical game using his height advantage to hold off the lightning fast Gausha in a round of 16 middleweight contest at the Excel arena.

He will now fight Uzbek boxer Abbos Atoev for a place in the semi final. Victory over Atoev will assure Vijender of a medal, as both losing semi finalists are given bronze in the competition.

Comments

Stablecoin vs. Meme Coin: Key Differences Every Crypto Investor Should Know

: ### **1. Purpose & Function** - **Stablecoin**: Designed for **stability**, pegged to a reserve asset (e.g., USD, gold, or another crypto). Used for trading, payments, and hedging against volatility. *Examples: USDT, USDC, DAI* - **Meme Coin**: Created for **hype, community, and speculation**, often with no real utility. Driven by social media trends and viral popularity. *Examples: Dogecoin (DOGE), Shiba Inu (SHIB), Pepe (PEPE)* ### **2. Price Stability** - **Stablecoin**: Maintains a **fixed value** (e.g., $1 per coin). Low volatility. - **Meme Coin**: **Extremely volatile**—prices can surge or crash rapidly based on hype. ### **3. Backing & Security** - **Stablecoin**: Backed by **fiat reserves, algorithms, or crypto collateral** (e.g., USDT is backed by USD reserves). - **Meme Coin**: **No intrinsic backing**—value depen...

🧠 What is a Data Science Job?

A Data Scientist is like a detective who works with data instead of clues . Their job is to collect , clean , analyze , and interpret data to help companies make smart decisions. 📊 Key Roles & Responsibilities Collecting Data From websites, apps, sensors, databases, etc. Example: Getting data on how customers use an app. Cleaning Data Removing duplicate, missing, or incorrect entries. Like making sure the data is usable and correct. Analyzing Data Using statistical tools (like Excel, Python, R) Finding trends and patterns. Example: “Most customers buy on weekends.” Building Models (AI/ML) Predicting future outcomes using Machine Learning. Example: Predicting which customers might cancel a subscription. Communicating Results Making dashboards, charts, and reports. Explaining to management in a simple way. 💻 Skills Required Skill Purpose Python / R Programming languages for analysis SQL For accessing databases Excel / Tableau / Power BI For data visualization ...

Creating AI-Powered Resume for Interviews

Creating a resume with AI support can streamline the process, improve formatting, and optimize content for Applicant Tracking Systems (ATS). Here’s a step-by-step guide: ### **Step 1: Gather Your Information** Before using AI tools, compile: - Contact details (name, email, phone, LinkedIn) - Work experience (job titles, companies, dates, key achievements) - Education (degrees, institutions, certifications) - Skills (technical, soft, tools) - Projects, awards, or volunteer work (if relevant) ### **Step 2: Choose an AI Resume Builder** Popular AI-powered tools include: - **Resume.com** / **Zety** – Templates + AI suggestions - **Kickresume** – AI-generated content + ATS optimization - **Rezi.ai** – Tailors resumes for job descriptions - **ChatGPT** / **Gemini** – Helps draft bullet points or summaries ### **Step 3: Input Details ...

AI Trends Today

Search This Blog