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Data Science News
Analyticsindiamag
2w
297
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Apptronik Launches Elevate Robotics to Enter Industrial Automation
- Apptronik, a US-based AI humanoid robotics startup, has formed Elevate Robotics, a subsidiary concentrating on industrial automation advancement.
- Elevate Robotics will focus on non-humanoid robotics for heavy-duty industrial tasks, led by CEO Paul Hvass.
- The new venture aims to develop 'superhuman robots' with capabilities surpassing current market standards.
- Apptronik recently raised $53 million in its Series A round to support Elevate Robotics and its mission to transform industrial-scale work.
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Analyticsindiamag
2w
405
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Building Websites and Web Apps Without Code Just Got Better with Hostinger Horizons
- Hostinger Horizons allows building websites and web apps without coding skills using AI.
- The platform supports various users like entrepreneurs, small business owners, freelancers, and agencies.
- Users can describe their app ideas in natural language, and AI generates fully functional apps.
- Horizons offers hosting, integrations with services like Supabase and Stripe, and advanced customization.
- The AI-based platform aims to simplify the process of web development without code.
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Medium
2w
175
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LLMs vs AI Agents : What Is The Actual Difference
- LLMs like BERT and T5 were key in language model evolution.
- ChatGPT's conversational abilities showcased LLMs' potential in interactive dialogues.
- Emerging models like GPT-3.5 and Gemini 2.5 enhanced LLM capabilities.
- AI Agents surpass LLMs, simulating human workers, aiding in complex workflow automation.
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Medium
2w
85
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Supervised vs Unsupervised Learning — What You Really Need to Know
- Supervised Learning involves training a model with data and answers, while Unsupervised Learning trains the model with only data, without answers.
- Common use cases for Supervised Learning include email spam detection, loan approval prediction, disease diagnosis, and price estimation.
- Common use cases for Unsupervised Learning include customer segmentation, fraud detection, and recommender systems.
- Key differences include the requirement of labeled data for Supervised Learning and its task type focusing on prediction, while Unsupervised Learning does not require labeled data and focuses on pattern discovery.
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Medium
2w
317
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System Design Series: A Step-by-Step Breakdown of Temporal’s Internal Architecture
- Dive into Temporal's complex internal architecture, decoding workflows, activities, and services.
- The article unravels Temporal's intricate architecture through detailed step-by-step breakdowns.
- Exploration includes Frontend, History, Matching, and Worker services, along with worker processes.
- Internal queues, partitions, and scalable task management are also discussed in depth.
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19 Likes
Medium
2w
334
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Unlocking the Future of Business
- AI tools are transforming businesses in 2025, enhancing productivity and innovation across sectors.
- AI chatbots like ChatGPT, Claude, and Gemini are being utilized to boost business productivity and innovation by handling research, writing, brainstorming, and customer interaction efficiently.
- ChatGPT, Claude, and Gemini are among the notable AI chatbots offering versatility in research, conversational AI for customer support, and answering complex questions for creative projects, respectively.
- These AI tools are reshaping business communication internally and externally, making interactions faster and more insightful.
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Analyticsindiamag
2w
184
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Is It a Good Time to Be a Software Engineer?
- AI hasn't erased the thrill of being a programmer, with new tools revitalizing coding.
- Despite anxiety about automation, influential voices see long-term opportunities for software engineers.
- AI is enhancing development velocity, making coding more accessible, and empowering engineers.
- Debate exists on whether AI will lead to fewer software engineer jobs in the future.
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11 Likes
Medium
2w
94
Artificial Intelligence: Shaping the Future of Technology and Society
- AI has a long history, starting from ancient myths to modern scientific development in the 1950s by Alan Turing, with recent breakthroughs leading to significant advancements.
- Modern AI utilizes technologies like Machine Learning, Deep Learning, NLP, and Computer Vision to perform tasks such as understanding language, analyzing images, and recommending content.
- AI applications span various sectors like healthcare, transportation, finance, education, and entertainment, deeply impacting daily life.
- Despite its benefits, AI poses challenges around bias, job loss, privacy, and accountability, requiring ethical development and responsible governance to ensure its positive impact.
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Medium
2w
210
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The Real Story Behind Setting Up a Data Science CoE in a Services Company
- Setting up a Data Science CoE involves more than tools and data scientists.
- Core team of 5-8 with clear roles is crucial for success.
- Platforms enabling insights, automated workflows, and standardized tools are essential survival tools.
- Phases include proving credibility, careful expansion, and becoming indispensable for success.
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12 Likes
VentureBeat
2w
214
For Replit’s CEO, the future of software is ‘agents all the way down’
- Replit CEO envisions "agents all the way down" for software future.
- Platform allows non-developers to quickly design and code apps and websites.
- Focus on creating autonomous software engineers and cutting down costs for users.
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VentureBeat
2w
236
Boston Consulting Group: To unlock enterprise AI value, start with the data you’ve been ignoring
- Boston Consulting Group emphasizes the importance of data quality and governance in enterprise AI projects.
- Organizations are navigating complexities related to data exposure, AI budgets, access permissions, and managing risks to unlock AI value.
- New AI solutions are leveraging previously unusable data, enabling insights that were not feasible before.
- Adopting AI-ready data is crucial for successful AI projects, as indicated by a Gartner survey highlighting the importance of AI-ready infrastructures for faster data processes.
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Medium
2w
214
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Only 6% of the World Owns Crypto
- In 2024, only about 6.8% of the global population owns cryptocurrency, according to Chainalysis's Global Crypto Adoption Index.
- Chainalysis reports a growth in crypto ownership to roughly 562 million people worldwide, up from 420 million in 2023.
- Central & Southern Asia and Oceania (CSAO) lead global rankings for crypto adoption with countries like India, Vietnam, and the Philippines.
- The data indicates that despite recent developments like the Bitcoin ETF boom and DeFi innovations, the majority of the world has not yet adopted cryptocurrency, showing the early stage of this financial revolution.
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VentureBeat
2w
320
Creatio’s new 8.3 Twin CRM update hits Salesforce where it hurts: ‘we don’t think of AI as an add-on…it’s just part of our app experience’
- Creatio launches 8.3 Twin CRM update, enhancing AI-native capabilities and workflow automation.
- The update integrates AI into core functions without additional costs or licensing.
- Features include conversational user experience, no-code agent builder, and seamless integrations.
- Creatio emphasizes human-AI collaboration, offering a unified, fluid CRM experience.
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19 Likes
Medium
2w
245
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Transformers in Artificial Inteligence?
- Embeddings in AI convert words or data into numerical vectors for algorithms to understand relationships and context.
- Transformers use positional encoding to maintain the order and relationships between input tokens in natural language processing.
- In a Transformer model, transformer blocks work together using self-attention to understand contextual relationships between words.
- Transformers use linear layers and the softmax function to make predictions based on learned vector representations, turning complex patterns into clear outcomes.
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14 Likes
Medium
2w
141
Image Credit: Medium
⚔️ Don’t Just Solve Graphs. Think in Graphs.
- Learn to master graphs by visualizing them, not just solving them memorably.
- Blog emphasizes learning traversal thinking, not just coding algorithms, with real-world analogies.
- Explains basics like vertices, edges, and paths with practical C++ examples and applications.
- Teaches graph structures, traversal techniques, and problem-solving strategies for aspiring developers.
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