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Discover the what, why, and how of serverless machine learning with the interactive course GitHub repository.
In a commencement speech at Temple University, I shared my views on how new college graduates can compete with powerful artificial intelligence.
Ever wondered why your neural network seems to get stuck during training, or why it starts strong but fails to reach its full potential? The culprit might be your learning rate – arguably one of the most important hyperparameters in machine learning.
Acer Gadget, a subsidiary of Acer, unveiled AI-powered wearables at the Computex 2025 trade show in Taiwan.
This article guides you throughout a demo project to set up and run an instance of this powerful multi-modal model in a Python script or notebook.
With its prompts now public and a team of human babysitters on call, Grok is supposedly back on script. But the incident underscores...
Baby podcasts, space supercomputer, AI apps, AI ethics and safety, and more...
A blend of LLMs' creative generation capabilities with genetic algorithms
The post Google’s AlphaEvolve Is Evolving New Algorithms — And It Could Be a Game Changer appeared first on Towards Data Science.
Windsurf's new SWE-1 AI models tackle the complete software engineering workflow, potentially reducing development cycles and technical debt.
A Random Forest is a powerful machine learning algorithm that can be used for classification and regression, is interpretable, and doesn’t require feature scaling. Here’s how to apply it.
The post Understanding Random Forest using Python (scikit-learn) appeared first on Towards Data Science.
A breakdown of the three fundamental math fields required for machine learning: statistics, linear algebra, and calculus.
The post How to Learn the Math Needed for Machine Learning appeared first on Towards Data Science.
Through the LangGraph Platform, organizations can deploy agents with one-click deployment, horizontal scaling to handle “bursty, long-running traffic."
Databricks' $1 billion acquisition of Neon highlights how serverless PostgreSQL has become essential for agentic AI development.
New CIAM platforms are addressing a significant barrier to enterprise AI adoption: identity management for autonomous agents.
The UAE and Saudi Arabia are investing billions in US AI infrastructure. The deals could help the US in the AI race against China.
The Importance of Building a Benchmark and How To Do It
The post How To Build a Benchmark for Your Models appeared first on Towards Data Science.
The Importance of Building a Benchmark and How To Do It
The post How To Build a Benchmark for Your Models appeared first on Towards Data Science.
Building on this foundation of specialized information extraction solutions and using the capabilities of SageMaker HyperPod, we collaborate with APOIDEA Group to explore the use of large vision language models (LVLMs) to further improve table structure recognition performance on banking and financial documents. In this post, we present our work and step-by-step code on fine-tuning the Qwen2-VL-7B-Instruct model using LLaMA-Factory on SageMaker HyperPod.
A journey into three intuitions: Common, Bayesian and Causal
The post ???????????? Lessons in Decision Making from the Monty Hall Problem appeared first on Towards Data Science.
In this post, we share how Qualtrics built an AI platform powered by Amazon SageMaker and Amazon Bedrock.
AWS partnered with Vxceed to support their AI strategy, resulting in the development of LimoConnect Q, an innovative ground transportation management solution. Using AWS services including Amazon Bedrock and Lambda, Vxceed successfully built a secure, AI-powered solution that streamlines trip booking and document processing.
A newly released 14-page technical paper from the team behind DeepSeek-V3, with DeepSeek CEO Wenfeng Liang as a co-author, sheds light on the “Scaling Challenges and Reflections on Hardware for AI Architectures.”
The post DeepSeek-V3 New Paper is coming! Unveiling the Secrets of Low-Cost Large Model Training through Hardware-Aware Co-design first appeared on Synced.
For engineers orchestrating AI pipelines across environments, the modularity and performance tiering within Arm’s new architecture...
In honor of Global Accessibility Awareness Day, we’re excited to roll out new updates across Android and Chrome, plus new resources for the ecosystem.
Confused by AI agent frameworks? This article makes sense of A2A and MCP.
You.com launches ARI Enterprise, an AI research platform that outperforms OpenAI in 76% of head-to-head tests and integrates with enterprise data sources to transform business intelligence with 400+ source analysis.
Learn about the AWS machine learning service that helps you build machine learning pipelines, from processing data to training and deploying models.
Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.
Ben Lorica and Gabriela de Queiroz, director of AI at Microsoft, talk about startups: specifically, AI startups. How do you get noticed? How do you generate real traction? What are startups doing with agents and with protocols like MCP and A2A? And which security issues should startups watch for, especially if they’re using open weights […]
A training-free solution for extreme LLM compression.
The post Boost 2-Bit LLM Accuracy with EoRA appeared first on Towards Data Science.