Trump, near 80, undergoes fourth publicly disclosed medical exam of second term

Results are filtered through the White House and must be approved by the President, raising questions about what the public sees ...
SpaceNews

Observable Space raises $90 million and wins Space Force contract for optical systems

Observable Space develops optical systems for use in space domain awareness, laser communications and astronomy. Credit: Observable Space AMSTERDAM — Observable Space, a company that develops optical ...
Aviation Week

Observable Space Wins $22m For Mobile ‘Attritable’ Telescopes

The U.S. Space Force awarded Observable Space a $22 million award for mobile, off-grid robotic telescopes. The award is part of the service’s “Deployable Attritable Optical” program and is the initial ...
InfoWorld

Angular Signals in practice: Building a signal-first form in Angular

By expressing form behavior in terms of state and derivation rather than orchestration and reaction, Angular Signal Forms ...
InfoWorld

Building a signal-first form in Angular

By expressing form behavior in terms of state and derivation rather than orchestration and reaction, Angular Signal Forms make forms easier to reason about, build on, and maintain. Let’s dive in.
Hosted on MSN

The edge of the observable universe is not what it seems

This video explores what scientists mean when they talk about the edge of the observable universe. Using real observations and established physics, it explains why space appears black beyond a certain ...
Hoodline

Observable Space's Space Force Windfall Rockets Detroit Jobs Push

Observable Space, the space-tech outfit formed from the merger of PlaneWave Instruments and OurSky, is steering new federal money and fresh venture capital straight into Detroit. After landing a major ...
GitHub

Deep Transformer Q-Networks for Partially Observable Reinforcement Learning

Deep Transformer Q-Network (DTQN) is an extension of DQN and DRQN designed to encode an agent's history effectively for solving partially observable reinforcement learning tasks. Our architecture is ...
IEEE

Heterogeneous Task Offloading and Resource Allocations via Deep Recurrent Reinforcement Learning in Partial Observable Multifog Networks

Abstract: As wireless services and applications become more sophisticated and require faster and higher capacity networks, there is a need for an efficient management of the execution of increasingly ...
GitHub

Vega Datasets

Vega Datasets is the centralized hub for over 70 datasets featured in the examples and documentation of Vega, Vega-Lite, Altair and related projects. A dataset catalog conforming to the Data Package ...