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Data Science News
Medium
1w
29
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It’s Either Greater Than Or Less Than
- The puzzle requires algebraic manipulation and knowledge of Euler's number.
- Two boxes in the middle are to be filled with either > or <.
- The series expansion of e^x is used to solve the puzzle.
- The solution involves substituting x = 1 into the series expansion.
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Analyticsindiamag
1w
209
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IAF Signs Contract with IG Drones to Enhance Airbase Safety
- The Indian Air Force (IAF) has signed a contract with IG Drones to implement a Bluetooth Low Energy (BLE) tool tracking system.
- The system aims to enhance airbase safety and efficiency by streamlining tool management and inventory tracking.
- The BLE system will help minimize Foreign Object Debris (FOD) damage by enabling real-time tracking and automated alerts for tools left on runways.
- The system offers an extended charging cycle of six to eight months, reducing maintenance efforts and ensuring uninterrupted operations.
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Analyticsindiamag
1w
41
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LLMs Hit a New Low on ARC-AGI-2 Benchmark, Pure LLMs Score 0%
- ARC Prize has announced the ARC-AGI-2 benchmark to evaluate AI models' human-like intelligence.
- The benchmark poses greater challenges by factoring in efficiency and performance.
- Non-reasoning models (Pure LLMs) scored 0%, while human participants achieved a perfect score of 100%.
- OpenAI's o3 reasoning model received the highest score of 4.0%, but will not be released as a standalone model.
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Towards Data Science
1w
350
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From Fuzzy to Precise: How a Morphological Feature Extractor Enhances AI’s Recognition Capabilities
- The article discusses the development of a Morphological Feature Extractor to enhance AI's recognition capabilities by mimicking human visual recognition processes.
- Traditional CNNs lack the structured trait separation seen in human recognition, leading to difficulties in distinguishing similar objects.
- The Morphological Feature Extractor focuses on body proportions, head shape, fur texture, tail structure, and color patterns to help AI understand and recognize objects better.
- Different analyzers within the extractor address specific features like body proportions, head features, tail features, fur texture, and color patterns.
- The Feature Relationship Analyzer connects these morphological features to improve breed differentiation, similar to how human intuition works.
- The article highlights the importance of the residual connection in allowing different information channels to complement each other for improved recognition accuracy.
- By integrating the Morphological Feature Extractor, model accuracy in distinguishing similar-looking dog breeds significantly improved.
- Heatmaps demonstrate how the extractor refocuses the model's attention to key features, leading to more reliable predictions and reduced misclassifications.
- The concept of Morphological Feature Extractors can extend beyond dog breed identification, potentially benefiting other domains requiring recognition of fine-grained differences.
- Challenges and areas for improvement exist in refining the methodology, emphasizing the need for continuous development in AI feature recognition.
- Overall, the approach of Morphological Feature Extractors represents a step towards AI thinking more like humans, focusing on crucial features for improved recognition and decision-making.
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Analyticsindiamag
1w
12
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How DataRobot is Pushing AI Use Cases to Production
- DataRobot unveiled its enterprise AI suite to simplify AI application creation and deployment.
- CEO Debanjan Saha stresses the need for AI investments to deliver tangible business value.
- DataRobot focuses on identifying AI use cases that drive significant business impact.
- Robust governance and monitoring features in the AI suite address the confidence gap in AI deployment.
- DataRobot aims to make AI more accessible by lowering the bar for participation.
- The enterprise AI suite includes composable AI applications and agents for various business needs.
- Advanced AI observability features, including guard models, enhance safety and reliability in production environments.
- DataRobot enables faster AI deployment and cost reduction for organizations like CVS Health and BMW Group.
- In India, DataRobot has demonstrated increased productivity and accelerated value from AI with companies like Razorpay.
- DataRobot's approach bridges predictive, generative AI, and agentic AI to meet enterprise needs.
- The enterprise AI suite facilitates collaboration among teams for innovation and rapid scaling of AI applications.
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Analyticsindiamag
1w
222
Microsoft Introduces Security Copilot Agents That’s Set To Get ‘Smarter’ Over Time
- Microsoft has launched Security Copilot agents and Microsoft Purview, an AI-powered data security investigations and analysis platform.
- The Security Copilot agents aim to automate tasks and manage the increasing volume and complexity of cyberattacks.
- The agents provide autonomous and adaptive automation, continuously learning and improving over time.
- Microsoft Security Copilot agents will be available in preview from April 2025.
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Analyticsindiamag
1w
41
How Axtria is Helping the Life Sciences Industry Achieve an AI-Driven Future
- The life sciences industry is leveraging AI to develop treatments for rare diseases that lack effective therapies.
- Axtria, a New Jersey-based company, is leading the charge in the AI-driven future of the industry.
- Axtria's GenAI Solutions, built on cloud platforms, enable scalability, predictive analysis, and personalized customer engagement.
- Axtria's AI-driven software, such as Axtria DataMAx, helps solve data integration and analytics challenges for life sciences organizations.
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Analyticsindiamag
1w
62
Is Indian Edtech Still Worth the Bet After 2,150 Failed Startups?
- India's edtech sector has experienced a tumultuous time in recent years, with a significant number of failures.
- A recent cohort study by WTFund 2024 showed that 15% of the total startup applications were in the edtech sector.
- Between 2015 and 2024, a total of 2,780 Indian edtech startups shut down, with 2,150 closures occurring between 2020 and 2024.
- Despite the failures, there are still successful edtech companies in India such as Physics Wallah and Vedantu, which are preparing for IPOs.
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VentureBeat
1w
184
Midjourney’s surprise: new research on making LLMs write more creatively
- Midjourney, known for its AI image generators, released new research on training text-based large language models (LLMs) to write more creatively.
- The collaboration with New York University introduces two new techniques, DDPO and DORPO, to expand the range of possible outputs while maintaining coherence and readability.
- The research goes beyond academic exercises and could fuel a new wave of LLM training among enterprise AI teams, product developers, and content creators.
- By incorporating deviation, the models learn to produce high-quality but more varied responses, ensuring AI-generated stories explore a wider range of characters, settings, and themes.
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VentureBeat
1w
302
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DeepSeek-V3 now runs at 20 tokens per second on Mac Studio, and that’s a nightmare for OpenAI
- Chinese AI startup DeepSeek has released a new large language model, DeepSeek-V3-0324, under an MIT license allowing commercial use.
- The model can run on Apple's Mac Studio with M3 Ultra chip, achieving over 20 tokens per second.
- DeepSeek's launch lacked typical fanfare, with no whitepaper or marketing, but the model has shown improvements over its predecessor.
- DeepSeek-V3-0324 operates with a MoE architecture, activating only 37 billion out of its 685 billion parameters for specific tasks, enhancing efficiency.
- The new model incorporates MLA and MTP technologies, boosting output speed by nearly 80%.
- With a 4-bit quantized version offering reduced storage footprint, it can run on high-end consumer hardware, challenging traditional AI infrastructure.
- Chinese AI companies like DeepSeek opt for open-source licensing, contrasting with Western companies keeping models behind paywalls.
- This strategy enables rapid transformation and AI innovation in China, with tech giants like Baidu, Alibaba, and Tencent also embracing open-source models.
- DeepSeek-R2, an advanced reasoning model, is anticipated to build upon DeepSeek-V3-0324, potentially competing with models like GPT-5 from OpenAI.
- By democratizing access to AI technology through open-source models, DeepSeek is reshaping the future of AI development and adoption globally.
- DeepSeek's approach reflects a broader trend towards making AI more accessible and empowering a wider range of developers and researchers in the field.
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Medium
1w
163
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How to Automate Data Labeling with Google Bert
- YouTube ads are a popular platform for companies to advertise products and drive revenue.
- Some companies aim to protect their brand image by avoiding placing ads on harmful content.
- A Data Scientist developed an automated labeling system to predict if a video is harmful or not.
- This system aims to improve efficiency and reduce the time required for manual labeling.
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Medium
1w
365
Image Credit: Medium
UBT: A Mathematical Revolution
- UBT's Super-Pi (πs) is a mathematical concept that eliminates the need for dark matter and dark energy.
- πs is derived by redefining π as a variable and introducing entropy into Einstein's equations.
- UBT's mathematical approach matches empirical results in gravitational wave anomalies and black hole evaporation.
- The implications of UBT's findings include potential uses in interstellar communication.
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Medium
1w
314
THE HABIT CONTRACT
- Wearing a seat belt has become enforceable by law in 49 states and the number of people wearing seat belts has increased significantly over the years.
- Laws and regulations represent a social contract that shapes our habits by collectively agreeing to abide by certain rules and enforcing them as a group.
- Creating a habit contract can help individuals hold themselves accountable by committing to a particular habit and establishing consequences if they fail to follow through.
- Bryan Harris, an entrepreneur from Nashville, Tennessee, used a habit contract to commit to healthy eating and involved his wife and personal trainer as accountability partners.
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Towards Data Science
1w
57
Image Credit: Towards Data Science
Build Your Own AI Coding Assistant in JupyterLab with Ollama and Hugging Face
- Jupyter AI is a JupyterLab extension for generative AI that works seamlessly in different environments like Google Colaboratory and Visual Studio Code.
- Setting up Jupyter AI involves creating a new environment, ensuring the latest versions of JupyterLab, and installing the Jupyter AI extension.
- Jupyter AI supports model providers like Hugging Face and Ollama, offering a variety of models to work with.
- While Jupyter AI integrates with Hugging Face models directly, Ollama provides a more reliable way to load models locally.
- Ollama supports downloading and running pre-trained models locally, ensuring flexibility and ease of model usage.
- You can also load custom models in Ollama by creating a Model File or directly use Hugging Face Hub models through Ollama.
- Configuring Jupyter AI with a local model via Ollama involves selecting the provider and model ID in the Jupyter AI chat interface.
- The AI coding assistant enables tasks like code autocompletion, debugging help, and code generation from scratch within JupyterLab.
- Interact with the AI assistant through the chat sidebar or notebook cells using %%ai magic commands for various coding tasks.
- Using a local model offers benefits like privacy, reduced latency, and decreased dependence on proprietary model providers with comparable performance.
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Analyticsindiamag
1w
256
ChatGPT Use Linked to Increased Loneliness, Finds OpenAI Study
- Frequent users of ChatGPT who emotionally bond with the AI chatbot are more likely to experience loneliness and social isolation, according to a study by OpenAI and MIT Media Lab.
- The study found that users who engaged deeply with ChatGPT reported higher loneliness and dependence over time.
- Increased daily usage of ChatGPT correlated with heightened loneliness and reduced socialization.
- While voice-based interactions initially appeared beneficial in mitigating loneliness, the advantages diminished at high usage levels, especially with the neutral-tone chatbot.
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