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Chrome buyout, AGI risks, Apple doubts, Archive gone, AI 3D, Claude 1M tokens, Google AI search, and more...
Russia's APT28 tested LLM-powered malware on Ukraine. The same tech that breaches enterprises is now selling for $250/month on the dark web.
Liquid AI has described this license as based on Apache 2.0 principles, but the full text has not yet been published.
In this post, we review the technical specifications of P6e-GB200 UltraServers, discuss their performance benefits, and highlight key use cases. We then walk though how to purchase UltraServer capacity through flexible training plans and get started using UltraServers with SageMaker HyperPod.
Embrace your inner software developer
The post Reducing Time to Value for Data Science Projects: Part 4 appeared first on Towards Data Science.
This post explores how Indegene’s Social Intelligence Solution uses advanced AI to help life sciences companies extract valuable insights from digital healthcare conversations. Built on AWS technology, the solution addresses the growing preference of HCPs for digital channels while overcoming the challenges of analyzing complex medical discussions on a scale.
In this post, Lexbe, a legal document review software company, demonstrates how they integrated Amazon Bedrock and other AWS services to transform their document review process, enabling legal professionals to instantly query and extract insights from vast volumes of case documents using generative AI. Through collaboration with AWS, Lexbe achieved significant improvements in recall rates, reaching up to 90% by December 2024, and developed capabilities for broad human-style reporting and deep automated inference across multiple languages.
In this post, we focus on implementing this architecture with step-by-step guidance and reference code. We provide a detailed technical walkthrough that addresses the needs of two critical personas in the AI development lifecycle: the administrator who establishes governance and infrastructure through automated templates, and the data scientist who uses SageMaker Unified Studio for model development without managing the underlying infrastructure.
This post presents architectural strategies and a scalable framework that helps organizations manage multi-tenant environments, automate consistently, and embed governance controls as they scale their AI initiatives with SageMaker Unified Studio.
OpenAI is positioning GPT-5 not only as a more powerful AI model but also as part of a more connected workspace.
A hands-on tutorial with Python and CasADi
The post Model Predictive Control Basics appeared first on Towards Data Science.
Explaining Coconut (Training Large Language Models to Reason in a Continuous Latent Space) in simple terms
The post Coconut: A Framework for Latent Reasoning in LLMs appeared first on Towards Data Science.
How FGVC aims to recognize images belonging to multiple subordinate categories of a super-category
The post A Refined Training Recipe for Fine-Grained Visual Classification appeared first on Towards Data Science.
Learn how to fine-tune BERTopic settings for more focused, reproducible, and interpretable results
The post Fine-Tune Your Topic Modeling Workflow with BERTopic appeared first on Towards Data Science.
Learn how to install and set up Neo4j. This article will help you start using Neo4j to explore connected data.
Anthropic's Claude Sonnet 4 supports 1 million token context window, enables AI to process entire codebases and documents in one request.
Startup Character.AI once promised superintelligence. Its new CEO says it's now an entertainment company with 20 million users.
CoAct-1 is an AI agent that combines GUI control with on-the-fly coding, making computer automation more robust and efficient.
This is a step-by-step guide to prompting LLMs in natural language and getting SQL code.
In this article, you will learn: • Build a decision tree classifier for spam email detection that analyzes text data.
Learn automation with this comprehensive n8n roadmap that takes you from simple drag-and-drop workflows to building enterprise-grade AI-powered automations.
Since ChatGPT appeared on the scene, we’ve known that big changes were coming to computing. But it’s taken a few years for us to understand what they were. Now, we’re starting to understand what the future will look like. It’s still hazy, but we’re starting to see some shapes—and the shapes don’t look like “we won’t […]
Halfway to its 2030 net-zero goal, Apple faces slow and hold-out suppliers, a tariffs scramble, and an AI race that could profoundly impact eco-friendly ambitions.
Before OpenAI released GPT-5 last Thursday, CEO Sam Altman said its capabilities made him feel “useless relative to the AI.” He said working on it carries a weight he imagines the developers of the atom bomb must have felt. As tech giants converge on models that do more or less the same thing, OpenAI’s new…
A walk-through of and the maths behind using low-capacity networks to acquire fine-grained scoring when only categorical labelling is available for training. We use it to predict the severity of an infection on a scale based on information on just rough outcomes in previous cases.
The post Estimating from No Data: Deriving a Continuous Score from Categories appeared first on Towards Data Science.
Recall anything, Grok 4 for all, Claude memory, solo unicorns, Genie 3 + art, and more...
Do RAG without doing RAG with this powerful new NLP and data extraction library
The post Introducing Google’s LangExtract tool appeared first on Towards Data Science.
TD Securities rolled out an AI assistant for its equity sales and research teams. The goal is to bring assistants and agents throughout the bank.
Google DeepMind CEO Demis Hassabis talks about AI’s momentum, from new models to the Game Arena benchmark.
New research reveals how OS agents — AI systems that control computers like humans — are rapidly advancing while raising serious security and privacy concerns.