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Data Science News
Medium
15h
354
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McCulloch-Pitts Neuron — Mankind’s First Mathematical Model Of A Biological Neuron
- The McCulloch-Pitts model, also known as the McCulloch-Pitts neuron or the threshold logic unit, is a simplified mathematical model of a biological neuron.
- Developed by Warren McCulloch and Walter Pitts in the 1940s, it was one of the earliest attempts to simulate the behavior of neural networks.
- The McCulloch-Pitts model can implement basic logic gates like AND, OR, and NOT, making it suitable for modeling simple logical operations.
- However, it has limitations in modeling complex, continuous functions, and modern artificial neural networks have evolved beyond this simplistic model.
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Medium
15h
106
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Hooked on Pages & Pedals
- Hooked on Pages & Pedals is a blog that combines data analysis, books, and cycling.
- The author is a data enthusiast who works in food analytics and enjoys reading and cycling.
- The blog aims to explore the intersection of data, storytelling, and outdoor adventures.
- The author also shares insights about the science behind pizza toppings and asks readers about their favorite food trends and plant care tips.
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Medium
15h
73
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How to Turn $200M of Bitcoin, USDT, Ethereum And Other Cryptocurrency Into $2B Using Grid-Bots 75%…
- The writer discusses how he can turn $100M into $1B by use of grid bots to reduce liquidation risks. The writer began this on February 14, 2024, and set an initial capital of $70M on Bitcoin, which the writer added $30M on an Ethereum Grid Bot having a total initial capital investment of $100M. Although the ROI has been negative in the last weeks, the writer has accumulated $5M in USDT with 78.20 BTC (market price of $62,312) and 7 ETH (market price of $3,171).
- The write-up talks about how Hi-Table aimed to help clients with bitcoin OTC and cryptocurrency entailing exchange management.
- The writer highlights the strategies he would take if the BOT does or does not collapse.
- The market has seen billions in liquidation in the last month, making it a lower-risk compared to conventional leverage trading practices.
- The writer plans on moving his capital to Hi-Table if the market goes below estimated levels to avoid reselling BIC at a low rate by converting to USDT.
- The power of compounding is essential to understand, as hypothetical returns and performance show monthly published blog posts on results.
- The write-up provides insights for trader's strategy approaches on bull and bear markets and the importance of taking profits.
- The writer has achieved much higher returns in the last crypto bull market and has learned to take profits before the market crash.
- The writer will adjust his strategies along the way in the event of market conditions and describes time-sensitive changes on Medium.
- Overall, the writer is relatively pleased with the results, however, they feel there are a few adjustments required.
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Medium
16h
102
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DataScience with Generative AI Course | Gen AI Course in Hyderabad
- Machine learning involves building mathematical models and algorithms that learn patterns and relationships from data.
- Applications of machine learning include predictive analytics, pattern recognition, and anomaly detection.
- Machine learning enables data scientists to extract actionable insights, automate tasks, and personalize user experiences.
- Machine learning is a cornerstone of data science, driving business success in the data-driven world.
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Analyticsindiamag
16h
506
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The Rise of AI-Powered Gaming Laptops
- Companies like Acer, Dell’s Alienware, Gigabyte, HP, and Lenovo have released their own ranges of AI-powered gaming laptops in India.
- These laptops vary in how they use AI, with features such as understanding user habits, optimizing performance, improving graphics, and enhancing audio and video calling experience.
- Different brands utilize NVIDIA's GeForce RTX 40 series GPUs for AI-powered capabilities, while some also incorporate their own chips and Intel NPUs for additional performance enhancements.
- The release of AI-powered gaming laptops is expected to increase with the upcoming release of NVIDIA's RTX 5080 GPUs.
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Analyticsindiamag
16h
121
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iPad Pro with M4 Chip Enables Seamless AI Tasks
- Apple unveiled a new chip called M4 in iPad Pro devices during their recent event.
- The M4 chip is equipped with a powerful Neural Engine capable of 38 trillion operations per second, making it ideal for AI tasks.
- The chip features advanced ML accelerators, a high-performance GPU, and higher-bandwidth memory, further enhancing its capabilities for AI tasks.
- Apple's decision to use custom silicon in their iPad Pro with the M4 chip enables breakthrough products with improved AI capabilities and media capabilities.
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Analyticsindiamag
16h
128
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Infosys & ServiceNow Boost Collaboration for Gen AI-Powered Solutions
- Infosys and ServiceNow strengthen collaboration to transform customer experiences with generative AI-powered industry solutions.
- Collaboration combines ServiceNow's Now Assist generative AI capabilities and Infosys Cobalt to enhance productivity, efficiency, and user experience.
- Infosys doubles investment in training by certifying over 3,500 employees with ServiceNow GenAI skills.
- Collaboration aims to deliver significant benefits, including improved operational efficiency, faster response time, and reduced implementation timelines.
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Medium
17h
88
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Asymmetric Certified Robustness via Feature-Convex Neural Networks
- Researchers are working on developing robust neural networks that can withstand adversarial attacks.
- One approach is the use of feature-convex neural networks, which offer asymmetric certified robustness.
- Feature-convex networks have a convex decision boundary in the feature space, making them inherently robust to adversarial perturbations.
- Experimental results show that feature-convex networks outperform traditional methods in terms of robustness and maintain high accuracy.
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Analyticsindiamag
17h
298
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Setu and Sarvam AI Unveils Sesame, India’s First Domain Specific LLM for BFSI Sector
- Setu and Sarvam AI have unveiled Sesame, India’s first Large Language Model (LLM) designed for the BFSI sector.
- Sesame leverages India’s digital infrastructure for improved credit underwriting, fraud detection, and personal finance advisory.
- The unveiling took place at Adbhut India, in the presence of prominent figures in the world of fintech and AI.
- Setu aims to empower BFSI customers with smarter credit decisions and hyper-personalized financial services.
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Analyticsindiamag
17h
298
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The Inventor of LSTM Unveils New Architecture for LLMs to Replace Transformers
- Sepp Hochreiter, the inventor of LSTM, has unveiled a new LLM architecture called xLSTM, which stands for Extended Long Short-Term Memory.
- xLSTM addresses the weaknesses of previous LSTM designs, such as sequential processing, limited storage capacities, and lack of parallelizability.
- The main components of xLSTM include matrix memory for LSTM, eliminating memory mixing, and exponential gating.
- xLSTM architecture performs favorably compared to Transformers and has the potential to impact various deep learning fields.
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Analyticsindiamag
17h
210
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GCCs in India Are Facing a Branding Problem
- Global Capability Centers (GCCs) are increasingly setting up in India where currently there are already over 1,500 GCCs.
- Innova Solutions president, APAC SBU and India country head Pradeep Yadlapati said GCCs are not seen as big brands, making it harder for them to attract fresh university graduates who focus on IT companies.
- About 30% to 40% of GCCs are unable to prove their value back to their parent organizations, with costs, operational expenses and economic models being the toughest hurdles
- Innova Solutions has played a major role in establishing GCCs in India across multiple sectors, by providing India entry strategies, supporting them in operationalizing their ventures, establishing centres of excellence, and innovation facilitation
- Innova Solutions presence across multiple cities in India, including Bengaluru, Pune, Hyderabad, Chennai, and Noida, serves as a significant advantage for the company
- Innova Solutions' presence in India is helping to resolve the country's employment problem as campus placements have declined over the years.
- India has more than a billion people and GCCs are expected to spread in the country from 1,700 to 2,400 by 2030 with a $110bn GCC market expected by the end of the decade.
- As more companies look to set up GCCs in India, this presents a consultancy opportunity as independent GCC advisors and consulting firms are instrumental in advising these companies.
- Innova Solutions announced a comprehensive set of services for GCCs, called Orion, which covers advisory and consulting, among other things.
- The GCC market may also shift to become supplier-centric as with SAP and Oracle, with an increased need for advisory and consulting services.
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Medium
18h
118
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Revolutionizing Patient Care: How AI Diagnostics Are Shaping the Future of Healthcare!
- Artificial Intelligence (AI) is reshaping healthcare with personalized treatment plans, prompt patient management systems, and cutting-edge medical diagnostics.
- AI's integration with sophisticated technologies such as machine learning, natural language processing and predictive analytics ensures unmatched efficiency and accuracy.
- AI's image recognition and machine learning technologies have significantly impacted the field of radiology by assisting in detecting early-stage cancers such as lung and breast cancer.
- AI's quick analysis of CT scans and MRI images is speeding up the time it takes for patients to receive critical treatments in neurology by detecting strokes and other neurological impairments.
- Through predictive analytics capabilities, AI can forecast potential health events and identify at-risk patients, thereby reducing hospitalization costs and improving patient outcomes.
- AI-powered predictive models and risk assessment tools are central to patient management systems, as they analyze various factors such as medical history, lifestyle, and genetic information to assess a patient’s risk of developing certain conditions.
- Through personalized patient engagement strategies, AI-driven platforms can tailor health communication to individual preferences and behaviors, increasing adherence to treatment protocols, and improving patient outcomes.
- The implementation of AI improvements personalizes care delivery and ensures that patients receive the most appropriate and effective interventions tailored specifically to their genetic profiles and health needs.
- As we explore the profound impacts of Artificial Intelligence on healthcare, it is evident that AI is transforming the industry and has the potential to bring about a smarter and responsive healthcare system.
- AI's continued redesign of medical care processes and solution offerings has unlimited growth potentials which could redefine patient care standards globally.
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Medium
18h
25
Research on Convergence rates in Machine Learning research part4
- We consider the Dirichlet problem for elliptic systems with periodically distributed inclusions with significant contrast compared to the background media.
- A unified method is developed to quantify convergence rates as the periodicity of inclusions tends to zero and as the parameter approaches either zero or infinity.
- Based on the obtained convergence rates and a Campanato-type scheme, regularity estimates that are uniform in both periodicity and contrast are derived.
- The spectral difference method based on p-th order Raviart - Thomas space is studied for the scalar transport equation on regular triangular meshes.
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Medium
18h
273
Research on Convergence rates in Machine Learning research part3
- Non-linear versions of log-Sobolev inequalities provide global exponential long-time convergence to free energy minimizers.
- These versions do not hold when the free energy has critical points that are not global minimizers.
- The research extends the arguments and establishes local log-Sobolev inequalities for the granular media equation in certain cases.
- The analysis shows exponential convergence to stationary solutions in both mean-field and kinetic equations.
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16 Likes
Medium
18h
206
Research on Convergence rates in Machine Learning research part1
- A unified framework is proposed for approximating transfer operators in machine learning research.
- The framework leverages Monte Carlo sampling to approximate the operator on a finite-dimensional space.
- Convergence of the approximating operator and its spectrum is proven under non-restrictive conditions.
- The study also establishes the convergence relationship between continuous optimization and its discrete counterpart.
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