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An international team has explored how in future aerial robots could process construction materials precisely in the air -- an approach with great potential for difficult-to-access locations or work at great heights. The flying robots are not intended to replace existing systems on the ground, but rather to complement them in a targeted manner for repairs or in disaster areas, for instance.
Kwai AI's SRPO framework slashes LLM RL post-training steps by 90% while matching DeepSeek-R1 performance in math and code. This two-stage RL approach with history resampling overcomes GRPO limitations.
The post Can GRPO be 10x Efficient? Kwai AI’s SRPO Suggests Yes with SRPO first appeared on Synced.
A workaround method that bypasses direct communication
The post Exporting MLflow Experiments from Restricted HPC Systems appeared first on Towards Data Science.
OpenAI's new model, Grok eyes, agents, viral AI videos, AI consultancy, and more...
Set up and run the GPQA-Diamond benchmark on DeepSeek-R1's distilled models locally to evaluate its reasoning capabilities.
The post How to Benchmark DeepSeek-R1 Distilled Models on GPQA Using Ollama and OpenAI’s simple-evals appeared first on Towards Data Science.
Google’s AI Overviews feature credible-sounding explanations for completely made-up idioms.
Google expanded Gemini's features, adding the popular podcast-style feature Audio Overviews to the platform.
If you have had an existential moment in your career due to AI, let me know.
The post An Existential Crisis of a Veteran Researcher in the Age of Generative AI appeared first on Towards Data Science.
The case for quantitative thinking in cyber risk
The post Why Most Cyber Risk Models Fail Before They Begin appeared first on Towards Data Science.
RAGEN stands out not just as a technical contribution but as a conceptual step toward more autonomous, reasoning-capable AI agents.
Good practices for testing your Python projects
The post Data Science: From School to Work, Part IV appeared first on Towards Data Science.
Amazon launches SWE-PolyBench, a groundbreaking multi-language benchmark that exposes critical limitations in AI coding assistants across Python, JavaScript, TypeScript, and Java while introducing new metrics beyond simple pass rates for real-world development tasks.
Enterprises can now make Studio Ghibli-inspired images through OpenAI's API.
Swissport ditches legacy tech, deploying a global SASE architecture with Cato Networks securing 26,000 users, unlocking real-time control.
Swissport ditches legacy tech, deploying a global, Zero Trust SASE architecture with Cato Networks securing 26,000 users, unlocking real-time control.
Inspired by the movements of a tiny parasitic worm, engineers have created a 5-inch soft robot that can jump as high as a basketball hoop. Their device, a silicone rod with a carbon-fiber spine, can leap 10 feet high even though it doesn't have legs. The researchers made it after watching high-speed video of nematodes pinching themselves into odd shapes to fling themselves forward and backward.
Margaret Mitchell, an AI ethics researcher at Hugging Face, tells WIRED about a new dataset designed to test AI models for bias in multiple languages.
In this post, we discuss how you can build an AI-powered document processing platform with open source NER and LLMs on SageMaker.
In this post, we explore two approaches for securing sensitive data in RAG applications using Amazon Bedrock. The first approach focused on identifying and redacting sensitive data before ingestion into an Amazon Bedrock knowledge base, and the second demonstrated a fine-grained RBAC pattern for managing access to sensitive information during retrieval. These solutions represent just two possible approaches among many for securing sensitive data in generative AI applications.
This post is divided into five parts: • Understanding the RAG architecture • Building the Document Indexing System • Implementing the Retrieval System • Implementing the Generator • Building the Complete RAG System An RAG system consists of two main components: • Retriever: Responsible for finding relevant documents or passages from a knowledge base given a query.
Many organisations look at your LinkedIn before getting that initial call back. Therefore, you need to ensure it is optimised.
Microsoft unveils new AI reasoning agents and Copilot features to transform workplace productivity, with Chief Product Officer Aparna Chennapragada sharing exclusive insights on the company's vision for human-agent collaboration.
A step-by-step guide to speed up the model inference by caching requests and generating fast responses.
Chemists could use this quick computational method to design more efficient reactions that yield useful compounds, from fuels to pharmaceuticals.
The reason you are reading this letter from me today is that I was bored 30 years ago. I was bored and curious about the world and so I wound up spending a lot of time in the university computer lab, screwing around on Usenet and the early World Wide Web, looking for interesting things…
Data preprocessing remains crucial for machine learning success, yet real-world datasets often contain errors. Data preprocessing using Cleanlab provides an efficient solution, leveraging its Python package to implement confident learning algorithms. By automating the detection and correction of label errors, Cleanlab simplifies the process of data preprocessing in machine learning. With its use of statistical […]
The post How to Perform Data Preprocessing Using Cleanlab? appeared first on Analytics Vidhya.
Understanding automatic feature-selection performed by L1 (LASSO) Regularization
The post Explained: How Does L1 Regularization Perform Feature Selection? appeared first on Towards Data Science.
The funding infusion sharpens a mission to make hyperscale analytics radically cheaper and greener at the very moment enterprises fear ballooning data‑center power bills.
AGI, AI employees, open-source TTS, a business architect, AI + books, and more...
How can you get started, and who should implement your first AI projects?
The post Enterprise AI: From Build-or-Buy to Partner-and-Grow appeared first on Towards Data Science.