AI (Artificial Intelligence)

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ByteDance Releases Protenix-v1: A New Open-Source Model Achieving AF3-Level Performance in Biomolecular Structure Prediction

ai, AI (Artificial Intelligence), Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine Learning, New Releases, Open Source, Staff, Tech News, Technology

How close can an open model get to AlphaFold3-level accuracy when it matches training data, model scale and inference budget? ByteDance has introduced Protenix-v1, a comprehensive AlphaFold3 (AF3) reproduction for biomolecular structure prediction, released with code and model parameters under Apache 2.0. The model targets AF3-level performance across protein, DNA, RNA and ligand structures while

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Legal Aspects of AI in Marketing

Advanced, ai, AI (Artificial Intelligence), Artificial Intelligence, Opinion

Creating Ad copies and blog content, enabling data collection, optimizing campaigns, processing customer data to build detailed personas, and even automating your entire marketing workflow from lead nurturing to conversion tracking. AI is growing so fast that it can heavy-lift the majority of your marketing tasks. However, non-compliant use of AI for marketing, like pasting

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30+ Data Engineer Interview Questions and Answers

ai, AI (Artificial Intelligence), Artificial Intelligence, Data Engineering, Interview Prep, Interviews

Data Engineering is not just about moving data from point A to point B. In 2026, data engineers are expected to design scalable, reliable, cost-efficient, and analytics-ready data systems that support real-time decision making, AI workloads, and business intelligence. Modern data engineers work at the intersection of distributed systems, cloud platforms, big data processing, and

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US companies accused of ‘AI washing’ in citing artificial intelligence for job losses

ai, AI (Artificial Intelligence), Amazon, Artificial Intelligence, Business, Hewlett-Packard, US news

While AI is having an impact on the workplace, experts suggest tariffs, overhiring during the pandemic and simply maximising profits may be bigger factorsOver the last year, US corporate leaders have often explained layoffs by saying the positions were no longer needed because artificial intelligence had made their companies more efficient, replacing humans with computers.But

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