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The researchers found that recent advances in machine learning technology and "smarter home and transport options make it possible to easily track and manage a large share of individuals' emissions" and that feedback effective in engaging individuals to reduce their energy-related emissions and relevant new personalized apps could be designed.
Emerging technology Status Potential applications Related articles Active structure: Research, development, commercialization Adaptive structures that respond to different conditions, or supermassive buildings and infrastructure (e.g. space fountains)
Technology Connections is an American YouTube channel covering the history and mechanics of consumer electronics, home appliances, and other pieces of technology, created by Alec Watson of Chicago, Illinois. Subjects of focus include transportation, [3] HVAC, refrigeration, photography, and home audio and video, among others. The channel, which ...
Raspberry Pi, a bare-bones, low-cost credit-card sized computer created by volunteers mostly drawn from academia and the UK tech industry, is released to help teach children to code. [9] [10] September 11 Intel demonstrates its Next Unit of Computing, a motherboard measuring only 4 × 4 in (10 × 10 cm). [11] October 4
AT—Advanced Technology; AT—Access Time; AT—Active Terminator; ATA—Advanced Technology Attachment; ATAG—Authoring Tool Accessibility Guidelines; ATAPI—Advanced Technology Attachment Packet Interface; ATM—Asynchronous Transfer Mode; AuthN—Authentication; AuthZ—Authorization; AV—Antivirus; AVC—Advanced Video Coding; AVI ...
The Computer History in time and space, Graphing Project, an attempt to build a graphical image of computer history, in particular operating systems. The Computer Revolution/Timeline at Wikibooks "File:Timeline.pdf - Engineering and Technology History Wiki" (PDF). ethw.org. 2012. Archived (PDF) from the original on 2017-10-31
An illustration of main components of the transformer model from the paper "Attention Is All You Need" [1] is a 2017 landmark [2] [3] research paper in machine learning authored by eight scientists working at Google.
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