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Ford Business Solutions Expands in India with New Bengaluru Office
- Ford Business Solutions (FBS) announces expansion in India with new Bengaluru office.
- The new office in Bengaluru is an extension of FBS' Global Capability Center in Chennai.
- FBS plans to hire 2,000 additional employees across India in the next four years.
- The expansion aims to strengthen Ford's digital and AI capabilities in India.
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Sorting an Array of Squared Values in JavaScript
- When dealing with sorted arrays that include negative numbers, an interesting challenge arises: Sorting the squares of the numbers efficiently.
- There are two approaches to solving this problem in JavaScript - Using Built-in Sorting and Using Bubble Sort.
- Using Built-in Sorting - The solution involves computing the square of every number, then sorting the resulting array using JavaScript's built-in .sort() method.
- Using Bubble Sort - The solution also computes the square of every number, but sorts the squared values using the Bubble Sort algorithm.
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Rigetti, Quanta Partner on Superconducting Quantum Computing
- Rigetti Computing and Quanta Computer have formed a strategic collaboration to accelerate the development and commercialization of superconducting quantum computing.
- Both companies will invest over $100 million over the next five years, leveraging their respective strengths in the quantum computing market.
- This collaboration aims to tap into the growing quantum computing market, which is projected to reach $1-2 billion annually by 2030.
- While the quantum computing sector has faced market fluctuations, industry leaders argue that tangible results are already being delivered.
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OpenAI Offers GPT-4.5 With 40% Fewer Hallucinations, 30x Higher Cost
- OpenAI has released GPT-4.5, a model focused on usability rather than advanced capabilities like coding or reasoning.
- GPT-4.5 showed a 40% reduction in hallucination rate compared to its predecessor GPT-4o.
- On the SimpleQA benchmark, GPT-4.5 scored higher accuracy rates than competing models like o3-mini, o1, and GPT-4o.
- Early testers praised GPT-4.5 for its verbal and emotional intelligence, describing it as the highest verbal intelligence model they've used.
- CEO Sam Altman noted that GPT-4.5 feels like talking to a thoughtful person, offering good advice and a different kind of intelligence.
- OpenAI plans to release the GPT-5 model soon, incorporating general purpose and reasoning capabilities in a single model.
- However, GPT-4.5 comes at an exponential cost, being the most expensive model offered by OpenAI, with pricing significantly higher than GPT-4o and o3-mini.
- The GPT-4.5 Preview costs $75 and $150 per 1 million input and output tokens, respectively, compared to GPT-4o's $2.5 and $10 pricing.
- Some experts suggest that open-sourcing GPT 4.5 could have a more significant impact than distributing it through an API, citing potential benefits in user engagement and goodwill.
- OpenAI faces competition from upcoming models like DeepSeek-R2 and Meta's Llama 4, expected to launch soon.
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Soket AI Labs’ Introduces Project EKΛ to Develop Sovereign AI Models for India
- AI startup Soket Labs introduces Project EKΛ to develop sovereign AI models for India.
- Project EKΛ aims to develop high-efficiency AI models optimized for India's linguistic and socio-economic landscape.
- The project focuses on building an open, ethical, and high-impact AI ecosystem in collaboration with premier institutions.
- The initiative seeks to achieve broader impact in areas like education, healthcare, national security, and more.
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Medium
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Neural Networks in Image Recognition: How AI Sees and Understands Visual Data
- Neural networks are revolutionizing image recognition and expanding possibilities.
- An individual reflects on their experience with image recognition in a gallery and ponders if machines can perceive art like humans.
- The story narrates how digital neurons mimic the intricacies of the human brain, leading to transformative discoveries.
- The article explores the magic of machine vision.
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Honeywell Looks to Accelerate Kidney Diagnosis Using AI with Digital Holographic Microscopy
- Global technology conglomerate Honeywell has introduced a new Digital Holographic Microscopy technology that uses AI to expedite medical diagnostics.
- The technology aims to reduce diagnostic time for peritoneal dialysis patients, capturing high-resolution images of dialysis fluid with a portable device.
- AI algorithms analyze the images to detect infections, enabling quicker treatment decisions.
- Honeywell's Digital Holographic Microscopy can also be used for environmental monitoring in assessing air quality and water safety.
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Medium
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Ultimate Guide to NLP: Tokenization, Stemming, Lemmatization, Stop Words, POS Tagging, and Named…
- Natural Language Processing (NLP) helps machines understand, interpret, and manipulate human language by applying text preprocessing techniques.
- NLP is used in chatbots, virtual assistants, search engines, sentiment analysis, healthcare, finance, legal sectors, machine translation, and more.
- Tokenization breaks text into smaller, meaningful units (tokens) for machine analysis in tasks like feature extraction and input representation.
- Stemming normalizes words by reducing them to their root form but may lead to inaccuracies compared to lemmatization.
- Lemmatization reduces words to their base form considering context and grammatical structure using vocabulary databases like WordNet.
- Stop words, common but insignificant words, are removed during text preprocessing to focus on more meaningful words for NLP tasks.
- Part-of-Speech (POS) tagging assigns word categories like noun, verb, etc., aiding in syntactic analysis for NLP applications.
- Named Entity Recognition (NER) identifies and classifies proper names and entities in text, crucial for extracting structured information.
- NER helps in chatbots, search engines, medical research, and more by analyzing context and accurately recognizing entities.
- Mastering NLP techniques in Python enhances text processing efficiency, enabling better insights and language-driven AI solutions.
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Medium
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Cross Validation
- Cross-validation is a technique that involves dividing the data into training and test parts.
- The training part is further divided into subtrain and validation parts for model building.
- The prediction error obtained through cross-validation tends to be an overestimate of the true prediction error.
- Leave-one-out cross-validation is commonly used in linear regression as it does not require rebuilding the models.
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How we decide among the best Large Language models
- MMLU(EM) and its variants, MMLU-Redux and MMLU-Pro, assess language models across multiple subjects using thousands of questions, highlighting the models' world knowledge and problem-solving skills.
- The DROP dataset challenges models with discrete reasoning tasks over paragraphs, with '3-shot' guiding prompts and 'F1' metric measuring accuracy in reading comprehension.
- IF-Eval (Prompt Strict) evaluates the model's adherence to instructions, focusing on strict prompt compliance to test the model's ability to follow guidelines precisely.
- GPQA benchmark features difficult questions in science fields, emphasizing advanced reasoning, with 'Pass@1' metric measuring accuracy in the model's initial responses.
- SimpleQA tests factual accuracy in language models across various topics, utilizing the 'Correct' metric to measure the model's accuracy in providing correct answers.
- FRAMES benchmark evaluates RAG systems on complex, multi-hop questions, focusing on factual accuracy, retrieval effectiveness, and reasoning skills.
- LongBench v2 assesses large language models on in-depth understanding tasks, with models like OpenAI’s o1-preview exceeding human performance.
- HumanEval-Mul and LiveCodeBench evaluate LLMs in code generation tasks across different programming languages, emphasizing accuracy on the first attempt.
- Codeforces ranks users based on performance in competitive programming, indicating proficiency levels with assigned titles and color codes.
- SWE-bench Verified ensures practical coding challenge evaluation by validating tasks curated from GitHub repositories, enhancing benchmark reliability.
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OpenAI Launches GPT-4.5, Runs Out of GPUs
- OpenAI has launched GPT-4.5, its latest AI language model.
- GPT-4.5 is in research preview for ChatGPT Pro users, offering better writing and knowledge.
- OpenAI runs out of GPUs but plans to add more for user access.
- GPT-4.5 is an extension of the GPT series, more efficient and shows tenfold improvement over GPT-4.
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This Shark Tank-Featured Bengaluru Startup is Tackling ‘Lazy Eye’ with VR Therapy
- A Bengaluru-based startup NeuraSim is using advanced VR therapy to tackle amblyopia, commonly known as 'lazy eye', which affects up to 5% of the Indian population.
- This VR-based therapy offers a more engaging and effective alternative to conventional patching therapy, showing significant improvements in vision within a shorter period.
- NeuraSim's immersive VR simulations help rewire the brain's visual processing, allowing patients to integrate inputs from both eyes and improve vision.
- The startup addresses the shortage of eye care specialists in India and provides customised VR therapy solutions for patients, validated through clinical testing.
- NeuraSim's VR technology has received funding grants and recognition, attracting top eye care institutions in India like Aravind Eye Care as customers.
- Offering two pricing models, NeuraSim makes its VR therapy more accessible to parents, aiming to reach a wider patient base for amblyopia treatment.
- Challenges like hardware procurement and parental scepticism towards VR therapy have been overcome, with NeuraSim now focusing on expanding its offerings to other eye conditions and international markets.
- The startup plans to be in 150-200 clinics by December 2025, aiming to make vision therapy more accessible and bridge the gap in healthcare access using AI, telehealth, and VR technologies.
- NeuraSim's journey highlights the potential of VR-based therapy in revolutionizing eye care treatment and making it more inclusive and effective for patients.
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Medium
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The little girl and mushrooms:
- Two sisters were crossing a railway track with baskets of mushrooms.
- The older sister heard a train horn and got frightened, running back.
- The little girl couldn't hear her sister and continued crossing the track.
- The older sister screamed for the little girl to come back, but she didn't respond.
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Medium
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The Robotics Revolution: How Intelligent Machines Are Reshaping Our World
- The concept of artificial beings that can perform human-like tasks dates back thousands of years, with myths and legends from ancient civilizations reflecting humanity's fascination with mechanical life.
- Scholars and inventors during the Renaissance, like Leonardo da Vinci, laid the foundation for future innovations in robotics with intricate designs and drawings of humanoid robots.
- The Industrial Revolution marked a turning point in automation, leading to the development of steam-powered machines and advancements in robotics in the 20th century.
- Significant advancements in the 20th century saw the birth of industrial robots, with the introduction of the term 'robot' by Karel Čapek and the creation of the first programmable robot, Unimate.
- The integration of artificial intelligence (AI) and machine learning accelerated the progress of robotics, leading to the development of intelligent systems capable of autonomous decisions.
- In the 21st century, robotics has become indispensable in fields like healthcare, space exploration, defense, and personal assistance, revolutionizing industries and reshaping economies.
- Robotic automation in manufacturing has led to smart factories, precision in tasks, continuous operation without fatigue, and the introduction of collaborative robots (cobots) revolutionizing industrial operations.
- The healthcare industry has seen advancements in robotic-assisted surgery, robotic caregivers for patient care, and AI-driven diagnostic robots improving early disease detection and patient outcomes.
- Agriculture has been transformed by robotics, with autonomous tractors, drone-assisted crop monitoring, and robotic harvesters optimizing resource utilization and sustainability in farming.
- Logistics and transportation sectors have embraced robotics for sorting, packing, inventory management, and autonomous vehicles, enhancing supply chain efficiency and speeding up deliveries.
- The rise of robotics has created new job opportunities in fields like robotics research, AI development, and human-robot interaction, while also raising ethical concerns around responsibility, bias, privacy, and surveillance.
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Analyticsindiamag
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Netflix is Hiring for ML Scientist and ML Engineer
- Netflix is offering new remote job openings for a machine learning scientist and a machine learning engineer.
- The roles aim to enhance content intelligence, personalisation, and advertising through machine learning.
- The ML scientist role involves building state-of-the-art ML models for visual, audio, and textual data using PyTorch and Netflix's ML infrastructure.
- The ML engineer role focuses on developing scalable ML pipelines for content intelligence and optimizing ML models for media understanding.
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