Month: July 2025

Structured outputs with Amazon Nova: A guide for builders

by

Developers building AI applications face a common challenge: converting unstructured data into structured formats. Structured output is critical for machine-to-machine communication use cases, because this enables downstream use cases to more effectively consume and process the generated outputs. Whether it’s extracting information from documents, creating assistants that fetch data from APIs, or developing agents that … Read more

AI agents unifying structured and unstructured data: Transforming support analytics and beyond with Amazon Q Plugins

by

As organizations seek to derive greater value from their AWS Support data, operational teams are looking for ways to transform raw support cases and health events into actionable insights. While traditional analytics tools can provide basic reporting capabilities, teams need more sophisticated solutions that can understand and process natural language queries about their operational data. … Read more

Tether Reports $4.9B Net Profit in Q2, Invested $4B in U.S. Initiatives

by

Tether International Ltd., the holding company behind the largest stablecoin, USDT, posted second-quarter net profit of $4.9 billion. The company held over $162.5 billion in reserves against $157.1 billion in liabilities, the USDT tokens issued, according to the latest attestation by accounting firm BDO. That puts excess reserves at $5.4 billion. Exposure to U.S. Treasuries, … Read more

Amazon Strands Agents SDK: A technical deep dive into agent architectures and observability

by

The Amazon Strands Agents SDK is an open source framework for building AI agents that emphasizes a model-driven approach. Instead of hardcoding complex task flows, Strands uses the reasoning abilities of modern large language models (LLMs) to handle planning and tool usage autonomously. Developers can create an agent with a prompt (defining the agent’s role … Read more

Adam Beck’s Blockstream Unveils Bitcoin-Powered, Liquid Network-Based Smart Contracts

by

Bitcoin development firm Blockstream has unveiled “Simplicity,” a programming language for smart contracts built on the layer-2 network Liquid. Co-founded by cryptographer and early Bitcoin contributor Dr. Adam Back, Blockstream has introduced Simplicity with the aim of solving the limitations of Bitcoin as a venue for smart contracts. “Simplicity gives Bitcoin expressive smart contracting power, … Read more

Helium Plus Lets Businesses Join Solana DePIN Project With Just Wi-Fi

by

Helium, one of the most well-known DePIN projects on Solana, is launching a new service called Helium Plus, aimed at transforming how businesses contribute to the Helium Network. Helium Plus will enable public Wi-Fi providers and businesses to join the network using existing Wi-Fi routers, with no additional hardware required. This will open the door … Read more

Custom TensorFlow Training Loops Made Easy

by

Content Overview Use tf.distribute.Strategy with custom training loops What’s supported now? Examples and tutorials Other topics Setting up the TF_CONFIG environment variable What’s next? Use tf.distribute.Strategy with custom training loops As demonstrated above, using tf.distribute.Strategy with Keras Model.fit requires changing only a couple lines of your code. With a little more effort, you can also use tf.distribute.Strategy with custom training loops. … Read more

Master TensorFlow Distributed Training: MirroredStrategy, TPUStrategy, and More

by

Content Overview Overview Set up TensorFlow Types of strategies MirroredStrategy TPUStrategy MultiWorkerMirroredStrategy ParameterServerStrategy CentralStorageStrategy Other strategies Use tf.distribute.Strategy with Keras Model.fit What’s supported now? Examples and tutorials Overview tf.distribute.Strategy is a TensorFlow API to distribute training across multiple GPUs, multiple machines, or TPUs. Using this API, you can distribute your existing models and training code with … Read more

How to Use Multiple GPUs with TensorFlow (No Code Changes Required)

by

Content Overview Setup Overview Logging device placement Manual device placement Limiting GPU memory growth Using a single GPU on a multi-GPU system Using multiple GPU TensorFlow code, and tf.keras models will transparently run on a single GPU with no code changes required. :::tip Note: Use tf.config.list_physical_devices(‘GPU’) to confirm that TensorFlow is using the GPU. ::: The simplest way to run … Read more

The Rise of AI Agents and What It Means for Workflow Automation

by

Autonomous AI agents are systems that can independently manage tasks or processes, unlike simple tools or assistants. While current results are still limited and often costly, AI agents already excel at routine work like summarizing emails or tracking data. Integrating them into small businesses is easier, but large corporations face high costs and complexity due … Read more

Ulugbek Tashpulatov Quietly Transformed a Law Firm’s Tech Stack—Now He’s Ready to Help More

by

Ulugbek Tashpulatov overhauled Baltabek Law’s entire tech stack—migrating to Google Workspace, automating intake, integrating CRM, and securing operations—all without outside vendors. A former CIO turned legal ops architect, he now offers independent consulting to help other firms modernize with lean, secure, and sustainable systems.