How to Cultivate Your “Personal Power” as a Leader
A conversation with Tulane University’s Chris Lipp on how to drive impact and influence regardless of where you sit on the org chart.
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How to build self-driving AI operations on Amazon Bedrock at scale
Amazon Bedrock powers generative AI for more than 100,000 organizations worldwide—from startups to global enterprises across every industry. It provides the proven infrastructure and comprehensive capabilities to confidently build applications and agents that work in production with the flexibility, enterprise security, and proven scalability you need to innovate boldly and deliver AI that drives real business impact. As organizations scale their generative AI applications powered by Amazon Bedrock across multiple foundation models and production workloads, proactive operational management […]
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Dashlane issues opaque advisory warning 20 encrypted vaults were stolen
There’s a lot that doesn’t add up in a security advisory password manager Dashlane published Monday, warning that attackers managed to obtain 20 encrypted user vaults. “Starting on Sunday, May 31, 2026, an external party launched a brute force attack against certain Dashlane user accounts,” the company said. “The goal of the attack was to brute-force two-factor authentication (2FA) protections to allow the attacker to register new devices on existing user accounts.” Hello, Dashlane, anybody home? A Dashlane […]
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How to Build a Document Intelligence Backend with iii Using Workers, Functions, and Cron Triggers
In this tutorial, we build a document-intelligence workflow with iii. We begin by installing the iii engine and Python SDK, then start the engine as a background process and connect a Python worker to it. After the setup, we register separate functions for text normalization, tokenization, sentiment analysis, keyword extraction, reporting, and heartbeat tracking. We then combine these functions into a single analysis pipeline and run the same logic via direct invocation, an HTTP endpoint, fire-and-forget execution, and […]
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Google’s new Gemma 4 12B model is designed to run on any laptop with 16GB of RAM
The generative AI boom has driven the cost of memory into the stratosphere, and Google is a key part of that trend. So it’s only fitting that Google should offer some less RAM-hungry local AI models. The company has announced the release of a new Gemma 4 model that fills a gap in the lineup that launched earlier this year. The new model is efficient enough that you may be able to run it on a pretty average […]
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Google DeepMind Releases Gemma 4 12B: An Encoder-Free Multimodal Model with Native audio that runs on a 16 GB laptop
Google DeepMind just released Gemma 4 12B, a dense multimodal model that strips out traditional encoders entirely. Vision and audio flow straight into the LLM backbone. The result is a model that runs agentic workflows on a consumer laptop with 16 GB of RAM. It ships under the Apache 2.0 license. Model Overview & Access Gemma 4 12B is a 12-billion-parameter decoder-only transformer. It handles text, images, audio, and video natively. There are no separate vision or audio […]
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The next chapter in flood resilience: Open sourcing Google’s hydrology framework
Climate & Sustainability
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Trump plan to test AI models has a problem—US security teams were gutted by DOGE
On Tuesday, Donald Trump finally signed his executive order expanding the government’s efforts to conduct voluntary safety testing of frontier AI models. Now, critics are warning that the order may be short-sighted, offering only performative reassurances that the government is actively monitoring for AI risks, while changing very little about how and when models are deployed. Last month, Trump abruptly canceled a signing event, where he had hoped to launch an earlier version of the EO with CEOs […]
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Fundamental’s Large Tabular Model NEXUS is now available on Amazon SageMaker JumpStart
Today, we’re announcing support for Fundamental’s NEXUS model on Amazon SageMaker AI. With this launch, you can deploy a foundation model (FM) purpose-built for tabular data prediction. This model helps your enterprise generate accurate, deterministic predictions from structured data in days instead of months. In this post, we show you how to get started with NEXUS on Amazon SageMaker JumpStart, walk through the deployment process, and demonstrate how to run predictions against your enterprise datasets. What is NEXUS? […]
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![Analysis of AlphaZero training data [D]](https://www.digitado.com.br/wp-content/uploads/2026/06/gjby4omfp35h1-jd4aJG-280x140.svg "Analysis of AlphaZero training data [D]")
Analysis of AlphaZero training data [D]
submitted by /u/YamEnvironmental4720 [link] [comments]
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