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Data Science News
Analyticsindiamag
2w
73
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Emergence AI Launches AI Agents to Create Other Agents Autonomously
- Emergence AI has upgraded its platform to autonomously create and assemble AI agents, aiming to minimize human intervention.
- The system's orchestrator dynamically plans capabilities, reuses existing agents, and creates new ones as needed, allowing agents to learn and optimize their performance.
- Humans remain in the loop to inspect, correct, and guide agent behavior, while the platform automatically generates agents for complex tasks.
- The intuitive agent SDK and agent registry facilitate seamless integration of second or third-party agents and deployment across cloud environments.
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Analyticsindiamag
2w
133
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India’s First Company to Export Packaged Semiconductors Under the Semicon Mission
- RRP Electronics, a Mumbai-based electronics manufacturer, has become the first Indian company to export packaged semiconductors under the Government of India’s Semiconductor Mission (ISM).
- The company exported its first consignment, valued at ₹6.51 crore, primarily focused on ASICS-based technologies, to a European customer.
- This expansion aligns with the “Make in India” initiative, contributing to the nation’s growth and the state’s development.
- RRP Electronics continues to expand, backed by significant investments and partnerships, aiming to advance India’s semiconductor industry.
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Medium
2w
25
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Into the world of HFTs and Market-Statistical arbitrage Introduction
- High-Frequency Trading (HFT) leverages advanced computing to execute trades in milliseconds using mathematical models and automation.
- Key components include co-location services, ultra-fast networks, and AI for analyzing market trends.
- HFT strategies include latency arbitrage, market making, statistical arbitrage, and momentum trading.
- Technological advancements like quantum computing, blockchain, and AI enhance HFT efficiency.
- Market arbitrage exploits price differences across markets, contributing to market efficiency.
- Factors influencing market arbitrage include exchange latency, liquidity variations, and regulatory differences.
- Statistical arbitrage uses historical data and quantitative models to profit from price relationships.
- Machine learning has transformed statistical arbitrage by analyzing vast amounts of financial data.
- While HFT benefits market efficiency and liquidity, concerns about unfair advantages and market instability exist.
- Regulators globally are refining policies to balance HFT innovation with market fairness.
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Medium
2w
414
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GPT-4.5 vs. GPT-4o: A Game-Changer in AI Evolution
- OpenAI introduces GPT-4.5, an upgrade over GPT-4o in AI evolution.
- GPT-4o had strengths but faced challenges in deep reasoning and complex problem-solving.
- GPT-4.5 improves reasoning capabilities and reduces instances of AI hallucinations.
- GPT-4.5 brings enhancements in accuracy, performance, source verification, and actionable recommendations.
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Analyticsindiamag
2w
267
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An Apple a Day Keeps Intelligence Away
- Apple is facing challenges in the AI race, with user feedback indicating unmet expectations for Apple Intelligence.
- Tim Cook has reassigned leadership roles in Apple Intelligence after losing confidence in its progress.
- Apple announced the rollout of Apple Intelligence across various platforms but faces skepticism on its impact.
- YouTuber MKBHD highlighted Apple's AI crisis and delayed product features in a critical video.
- Apple's delayed and underwhelming AI developments have led to criticism and accusations of failure.
- Apple is reportedly working on 'Project Mulberry', a revamped Health app powered by AI, amidst ongoing challenges.
- A lawsuit accused Apple of false advertising regarding non-existent Siri AI features, adding to its woes.
- Competition in AI intensifies with rivals like Google and OpenAI launching successful models, overshadowing Apple.
- Privacy concerns and reliance on licensed data could be hindering Apple's AI advancements, impacting user experience.
- Expectations for Apple's future AI developments at WWDC 2025 and potential partnerships with AI startups are on the horizon.
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Analyticsindiamag
2w
286
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Are Developers Becoming Obsolete? These AI Tools Say Yes
- AI coding tools, such as GitHub Copilot, Cursor, Codeium Windsurf, Replit Ghostwriter, and Tabnine, are reshaping the industry.
- These AI-powered tools automate tasks that previously required years of human experience.
- While AI can generate code snippets and provide suggestions, it lacks human intuition, problem-solving abilities, and deep understanding of business logic, making full developer obsolescence unlikely.
- Instead, AI tools will transform the role of developers, making them more focused on architecture, security, and creative problem-solving, while AI handles mundane tasks.
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Medium
2w
90
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How AI Can Save the World?
- The world is facing environmental and social challenges, with truth and reality being distorted, and uncertainty about the future prevailing.
- AI technology has the potential to save the world by detecting and addressing environmental issues such as deforestation and climate change through advanced monitoring and predictive capabilities.
- Intelligent systems are improving energy efficiency, aiding in renewable energy production, and even capturing carbon dioxide from the air to combat environmental damage.
- AI is also revolutionizing healthcare by analyzing health data, detecting diseases early, and personalizing treatments based on genetic codes.
- Automated medical systems are providing access to healthcare in remote areas, accelerating the process of discovering new medicines, and enhancing doctors' capabilities with advanced technology.
- AI is combating misinformation by detecting false stories, exposing deepfake videos, and enhancing education through personalized learning tools.
- While AI technology has immense potential for good, its impact depends on ethical use, accountability, and careful guidance to prevent misuse and inequality.
- Technology, including AI, can help humanity solve challenges by offering tools that humans alone may struggle to address effectively.
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Analyticsindiamag
2w
207
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Microsoft Security Copilot Uncovers New Vulnerabilities in Open-Source Bootloaders
- Microsoft’s Security Copilot has uncovered vulnerabilities in open-source bootloaders including GRUB2, U-Boot, and Barebox.
- The vulnerabilities could allow attackers to execute arbitrary code, potentially bypassing security measures like Secure Boot.
- The flaws were primarily found in the filesystem parsing components of the bootloaders.
- Microsoft has communicated the vulnerabilities and patches have been issued to fix the issues.
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Analyticsindiamag
2w
21
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GPT 4.5 Passes the Turing Test: Study
- A research study conducted by the University of California, San Diego, reveals that OpenAI's GPT-4.5, an AI model, has passed a three-party Turing test with a win rate of 73% when prompted to adopt a human-like demeanor.
- The study tested three AI models, including GPT-4.5, Meta's Llama 3.1 405B, and OpenAI's GPT-4o, in conversations with human participants using a split-screen interface.
- Results showed that GPT-4.5 and Llama 3.1 405B with a human-like persona prompt achieved win rates of 73% and 56% respectively, while GPT-4o without a persona prompt achieved a win rate of 21%.
- The researchers believe that AI systems like GPT-4.5 could replace or supplement human labor in tasks that require conversational exchanges.
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Medium
2w
159
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How to Strip Characters From a Python String
- Python provides the .strip() method to remove characters from the beginning and end of a string.
- To remove characters from only one side of a string, use .lstrip() or .rstrip().
- You can pass a string of characters to .strip(), .lstrip(), or .rstrip(). This tells Python what characters to remove.
- NOTE: This does not remove the exact sequence “///”. Instead, it removes all instances of the characters '/' from…
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Medium
2w
202
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7 Pandas Tricks That Saved My Time — Now Yours Too!
- This article shares seven Pandas tricks that can save time on projects.
- One trick is to specify dtype when reading CSV files, reducing memory usage and improving loading speed.
- Method chaining in Pandas allows for cleaner, more efficient code by combining multiple steps in a streamlined process.
- For filtering data with multiple conditions, using Pandas tricks can make the code more concise and easier to follow.
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Analyticsindiamag
2w
220
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Mysore Has a Data Centre that Doesn’t Drink Your Water!
- AI-powered data centres are projected to consume an additional 200 terawatt-hours of electricity annually by 2030, posing a significant sustainability challenge.
- Large-scale data centres, like those operated by Google, can consume over a billion litres of water each year, raising concerns about water usage.
- Microsoft introduced a water-efficient data centre design with chip-level cooling technology to reduce water consumption.
- Vigyanlabs Innovations, based in Mysore, developed micro green data centres to address energy efficiency and reduce carbon footprint.
- The CEO, Srinivas Varadarajan, initiated this innovation-driven company after observing the high energy consumption of large-scale platforms.
- In India, the data centre industry, valued at $10 billion, is mainly concentrated in Mumbai and Chennai, with a rising demand for hyperscale data centres.
- Vigyanlabs' Enterprise Power Management Software and Intelligent Power Management have saved nearly 100 gigawatt hours of energy.
- Their technology optimizes energy consumption across a wide range of devices and servers, reducing wasted energy by 50% in data centres.
- Vigyanlabs' green micro data centre network operates on renewable energy, consuming 50% less energy and operating without water for cooling.
- Their AI system, Mysore.ai, boasts a lower cost and energy footprint compared to leading AI chatbots, focusing on optimizing energy use.
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13 Likes
Medium
2w
129
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Incredible Grok 3 Surpasses Expectations Against ChatGPT
- Grok 3, the latest AI model from xAI, surpasses ChatGPT in advanced reasoning and real-time problem-solving capabilities.
- Grok 3's 'Think' and 'DeepSearch' modes enable it to analyze data in real-time, making it unmatched in math, science, and coding.
- ChatGPT excels in natural conversation and content creation, making it versatile for various applications.
- Choosing between Grok 3 and ChatGPT presents a dilemma of technical capability versus user-friendly interfaces in the tech industry.
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Medium
2w
306
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How to Detect Outliers in Data Preprocessing? A Guide for Data Scientists ️
- As data scientists, it is important to detect and handle outliers in data preprocessing.
- Two powerful methods to detect outliers are Z-score and Interquartile Range (IQR).
- Z-score measures the number of standard deviations a data point is away from the mean.
- A Z-score greater than 3 or less than -3 indicates an outlier.
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Mit
2w
267
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Researchers teach LLMs to solve complex planning challenges
- MIT researchers have developed a framework to guide large language models (LLMs) in solving complex planning problems like a human.
- The framework allows users to describe the problem in natural language without needing specific examples for training the LLM.
- The model encodes the user's text prompt for efficient solving of planning challenges using optimization software.
- During problem formulation, the LLM checks its work at intermediate steps to rectify errors and ensure accurate planning.
- The framework showed an 85 percent success rate in solving challenges like minimizing warehouse robot travel distance.
- It can be applied to tasks such as crew scheduling and factory machine time management.
- The research introduces a smart assistant framework that finds optimal plans even for complex or unusual rules.
- The framework, LLM-Based Formalized Programming (LLMFP), prompts LLMs to reason about problems and determine solutions.
- LLMFP self-assesses the solution and corrects any errors in the problem formulation for an accurate final plan.
- The framework achieved an average success rate between 83-87% in diverse planning problems across multiple LLMs.
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