By Robinson Meyer – The year 2018 was not an easy one for planet Earth.
In the United States, carbon emissions leapt back up, making their largest year-over-year increase since the end of the Great Recession. This matched the trend across the globe. According to two major studies, greenhouse-gas emissions worldwide shot up in 2018—accelerating like a “speeding freight train,” as one scientist put it.
Many economists expect carbon emissions to drop somewhat throughout the next few decades. But maybe they won’t. If 2018 is any indication, meekly positive energy trends will not handily reduce emissions, even in developed economies like the United States. It raises a bleak question:
Are we currently on the worst-case scenario for climate change?
When climate scientists want to tell a story about the future of the planet, they use a set of four standard scenarios called “representative concentration pathways,” or RCPs. RCPs are ubiquitous in climate science, appearing in virtually any study that uses climate models to investigate the 21st century. They’ve popped up in research about subjects as disparate as southwestern mega-droughts, future immigration flows to Europe, and poor nighttime sleep quality.
Each RCP is assigned a number that describes how the climate will fare in the year 2100. Generally, a higher RCP number describes a scarier fate: It means that humanity emitted more carbon dioxide into the atmosphere during the 21st century, further warming the planet and acidifying the ocean. The best-case scenario is called RCP 2.6. The worst case is RCP 8.5.
“God help us if 8.5 turns out to be the right scenario,” Jackson told me. more>
By Dee Gill – 
By Narayan Srinivasa – Machine learning has emerged as the dominant tool for the implementation of complex cognitive tasks resulting in machines that have demonstrated, in some cases, super-human performance. However, these machines require training with a large amount of labeled data and this energy-hungry training process has often been prohibitive in the absence of costly super-computers.
By Helen Xenos – Providing a first-class experience is the primary driver of densification – allowing network providers to deliver higher capacity connectivity to retain content quality even with the advent of new high-capacity applications. Ease of deployment and operations is also critical, with the quick roll out of network resources giving end-users have faster access to the latest digital services they rely on.
Siemens – Siemens’ Manufacturing Execution System (MES) ensures that quality and efficiency are built into the manufacturing process and that they are proactively and systematically enforced.
Siemens – Our aerospace and defense verification management solution helps companies achieve faster time to certification by providing a single, integrated environment that ensures all product verification events, whether simulation modeling and analysis or physical tests, are driven by requirements, planned and executed in the correct sequence, link individual tests and analyses to necessary resources and provide full traceability.
By Brian Lavallée – As mentioned in a 
By James Glover – Over the last several years, network operators have been searching to control costs and accelerate innovation, while avoiding heavily integrated solutions that lock them into a single vendor’s solution. This search has led to explosive growth and innovation in the “open source” software and hardware communities that facilitates increased choice for best-in-breed network solutions and services.
