Division of GrnWrk ~ Control the Flow
Girl with a Pearl Earring ~ is an oil painting by Dutch Golden Age painter Johannes Vermeer, dated c. 1665. Going by various names over the centuries, it acquired its present title towards the end of the 20th century.
The Girl with a Pearl Earring by Johannes Vermeer is officially considered priceless. Because it is a permanent part of the public trust at the Mauritshuis Museum in The Hague, it will likely never be sold on the open market
A prototype of the Project Suncatcher satellite at the Planet Labs facility in San Francisco, California.
The prototype satellite has four specialty chips in it called Tensor Processing Units, or TPUs, that Google designed for machine learning and has already deployed in data centers on Earth. The chips will run a version of the company’s Gemma AI model for 15 minutes at a time due to heat management constraints, using the open weight model to answer simple queries. In a blog post, Google said the mission will gauge how the TPUs handle “the physical stress of spaceflight and the radiation and thermal extremes of space.”
The Tensor Processing Unit (TPU) is a neural processing unit (NPU) application-specific integrated circuit (ASIC) developed by Google for neural network machine learning.[2] Tensorflow, Jax, and PyTorch are supported frameworks for TPU.[3] Google began using TPUs internally in 2015, and in 2018 made them available for third-party use, both as part of its cloud infrastructure and by offering a smaller version of the chip for sale. Currently, Google Cloud generates product revenues primarily from the sale of TPU systems.
Google has sent its AI chips into space aboard a prototype satellite for Project Suncatcher.
Built with Planet, the spacecraft launched on SpaceX’s Transporter-18 mission on October 1. Google says contact is established and the satellite is operating normally. The experiment will study how its TPU chips handle radiation and temperature extremes.
It is an early step toward exploring future AI data centers powered by sunlight in orbit, with long-term performance and commercial feasibility still to be established.
In cybersecurity, a honeypot is a decoy computer system, network, or application designed to attract cyberattacks. It acts as a trap that mimics legitimate digital assets to detect, deflect, or analyze unauthorized access attempts without putting real operational systems or data at risk.
StingBox is a commercial, plug-and-play network honeypot and intrusion detection device designed to function as an early-warning digital tripwire for homes, small-to-medium businesses (SMBs), and managed service providers (MSPs). Founded in 2019 by Michael Aiello and Paul Williams, the StingBox Official Website platform aims to make active threat detection accessible without requiring specialized cybersecurity staff. [1, 2, 3]
The Arduino UNO Q 2GB is the gateway to high-performance hybrid computing. Designed for developers and industries that require the perfect balance between edge intelligence and real-time control, this board eliminates the gap between high-level software and hardware reliability. By pairing a Qualcomm® Dragonwing™ MPU with an STM32U585 MCU, the UNO Q 2GB provides a streamlined, cost-effective platform for dedicated AI and IoT applications.