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Data Science News
Medium
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172
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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
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384
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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
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331
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
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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
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269
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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Dev
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3169. Count Days Without Meetings
- The task is to find the count of days when the employee is available for work but no meetings are scheduled.
- The approach involves merging overlapping meetings and calculating the gaps between these merged meetings.
- Sort the meetings based on their start times to handle overlaps efficiently.
- Merge overlapping or adjacent meetings into non-overlapping intervals and calculate the count of days without any meetings.
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HRKatha
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309
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AI in the workplace: The dangerous illusion of neutrality
- Executives embracing artificial intelligence as a pinnacle of workplace objectivity are dangerously misled.
- AI implementing companies like Salesforce are perpetuating a myth that algorithms are unbiased, which is false.
- AI fails to grasp cultural nuances in workplace behavior, exemplified by Indian practices like 'jugaad' and 'adjusting'.
- AI perpetuates generational stereotypes and lacks the ability to fairly evaluate diverse workplaces.
- Accountability becomes murky when AI influences hiring, evaluation, and promotion decisions.
- Human judgment's irreplaceable nature lies in empathy, intuition, and contextual understanding, beyond AI's capabilities.
- AI evaluation systems in workplaces create a surveillance state, impacting autonomy and creating psychological stress.
- The framing of AI as benevolent in the workplace can lead to false expectations and undermine trust.
- Organizations must acknowledge AI's limits while valuing human judgment and cultural understanding in workplace dynamics.
- Transparent implementation of AI in workplaces, considering cultural contexts and human values, is crucial for balanced integration.
- By utilizing AI alongside human judgment, workplaces can benefit from technology while preserving the essence of human interactions.
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Analyticsindiamag
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309
FuriosaAI Rejects $800 Million Acquisition Offer from Meta, Reports
- Seoul-based AI chip startup FuriosaAI has rejected an $800 million acquisition offer from Meta.
- The negotiations between the two companies fell apart over disagreements around post-acquisition strategy and organisational structure.
- FuriosaAI has developed RNGD, an AI chip optimized for Llama 2 and Llama 3, consuming less power than NVIDIA’s H100 GPUs.
- The acquisition was intended to reduce Meta’s reliance on NVIDIA for AI chips, as the tech giant plans to spend up to $65 billion on AI initiatives in 2025.
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Medium
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358
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Accelerating AI/generative AI with assetization
- Assetization is crucial for accelerating gen AI projects by reusing assets like code, data, and models.
- Maintaining digital assets in a central repository enhances efficiency, accelerates development, and fosters innovation.
- Scaling AI effectively involves assetizing code, insights, and resources to streamline operations and boost productivity.
- Sharing prompts and pre-configured agents is gaining importance in gen AI projects over technical details of training models.
- Brix, a solution by QuantumBlack Labs, centralizes assets for discoverability and accessibility in AI projects, reducing operating costs.
- Reusing assets can accelerate time-to-value, enhance solution quality, and mitigate risks in new GenAI projects.
- Promoting reuse at scale requires positive incentives, culture changes, and alignment of interests within organizations.
- A 'choose to use' philosophy, celebrating contributions, and fostering a culture of reuse are essential for sustainable asset reuse.
- Brix transforms how teams operate by integrating existing storage into a centralized, platform-agnostic solution for better business outcomes.
- The goal of Brix is to enable organizations to focus on reuse, streamline AI workflows, boost efficiency, and gain a competitive edge.
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Analyticsindiamag
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Infineon Technologies to Establish GCC in Gujarat, Employ 400 Engineers
- Germany-based semiconductor giant, Infineon Technologies, is set to establish a Global Capability Centre (GCC) in GIFT City, Gujarat.
- The new facility will employ approximately 400 engineers and is expected to play a crucial role in supporting Infineon's global research and development (R&D) and digital initiatives.
- The GCC will focus on areas such as semiconductor chip design, product software, information technology, supply chain management, systems, and applications engineering.
- Infineon's decision to choose Ahmedabad as the location for the new GCC is due to the city's emergence as a growing technology and semiconductor hub.
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Medium
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406
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Why AI Gets Strawberries Wrong: The Paradox of Perfect Logic
- AI's perfect answers often falter due to its limited understanding.
- Strawberry's Paradox highlights the complexity of human judgment and decision-making.
- AI can struggle with tasks that require a deep understanding of context and subjective human values.
- The revelation challenges the perception of AI as an infallible tool.
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Medium
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287
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Auto-Tag Sensitive BigQuery Data & Never Touch The UI Again
- Implementing a data governance policy at an organization level is integral to data security, especially regarding sensitive data.
- Many individuals will be able to view, query, and manipulate the data throughout its journey.
- Data engineers focus on data presentation rather than ensuring appropriate access.
- PaaS vendors like Google Cloud Platform provide tools to define and enforce data governance policies.
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Appsilon
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Appsilon at ShinyConf 2025: Pushing the Boundaries of Shiny Development
- ShinyConf 2025 is set to bring the global Shiny community together with talks and workshops focused on improving Shiny app performance, scalability, and usability.
- Workshops will cover topics like optimizing performance in Shiny, unclogging scripts with Plumber in R, and understanding Shiny reactivity.
- AI in Shiny talks will explore practical applications of AI tools for building apps, including using LLMs in Shiny and evaluating AI in Shiny developer interviews.
- UI/UX and creative app talks will discuss the importance of color in app design, updates in the Appsilon open-source ecosystem, and personal projects like turning Goodreads data into a Shiny app.
- Speakers will also address deploying and scaling Shiny apps for enterprises, with topics such as adoption tracking, internal R packages at Elkem, and integrating {teal} into Shiny frameworks.
- Strategies like pre-commit hooks, {renv} profiles, and release management will be shared to enhance Shiny projects, along with tips on deploying with confidence using feature flags and staged rollouts.
- A keynote will focus on R and Shiny in clinical trials, highlighting their role in speeding up processes and enhancing decision-making in the pharmaceutical industry.
- ShinyConf 2025 promises practical insights for all levels of Shiny users, emphasizing performance improvements, AI integration, better app design, and deployment strategies.
- Whether you're a beginner or experienced Shiny developer, there's valuable content awaiting you at ShinyConf 2025. Register now to be part of this innovative event!
- For more information and updates, visit appsilon.com/blog/.
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Analyticsindiamag
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Browser Use, an Open Source Alternative to OpenAI Operator, Raises $17 Million
- Browser Use, a tool that helps AI agents connect with the browser, has raised $17 million in a funding round led by Felicis Ventures.
- The company, founded by Magnus Müller and Gregor Žunič, aims to build an infrastructure that enables AI to interact with the web like humans.
- Browser Use's approach involves converting website interfaces into structured text that AI models can process for more efficient and precise interaction.
- The funding will further accelerate the development of Browser Use's vision in creating a reliable and deterministic solution for AI-web interaction.
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Medium
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1.1k
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The Impact of Artificial Intelligence on Call Center Jobs: Evolution or Extinction?
- AI is rapidly automating routine customer service tasks, such as chatbots, voice assistants, and AI-powered IVR.
- AI is shifting job roles in call centers, automating repetitive tasks while creating new roles in AI management.
- Call center employees can adapt by developing soft skills, learning AI and automation tools, and transitioning to higher-value roles.
- The future of call centers is a hybrid model where AI handles routine queries and humans focus on complex issues and personalized interactions.
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