There is no evidence that significant reductions in the carbon dioxide emissions associated with power generation will be achieved using current commercial alternatives to abundant and low-cost fossil fuels. The massive infrastructure and equipment changes required for such a transition would require multiple decades if and when a serious commitment is made and an economical transition pathway identified.
Although Internet-of-Things (IoT) applications and services have their roots in ideas that are decades old, their increasingly widespread deployments have made them a hot topic these days. Frequent topics of discussion and hype, they are causing both excitement and concern.
Today, the IT industry accounts for about 2 percent of total greenhouse gas emissions, comparable to the footprint of air travel. This footprint includes everything from datacenters and servers to networks and client equipment like laptops and printers. More and more information is being generated every day, and more and more consumers and enterprises are processing this information every day. Will IT emissions eclipse air travel one day soon?
In a low-carbon world, there is a need for energy storage to match nuclear, wind, and solar output with energy demand. These are high-capital-cost low-operating cost technologies where operating at a part load implies much higher costs for energy. Because energy is 8% of the world gross national product, significant increases in energy costs imply significant reductions in global standards of living. Heat storage costs are an order of magnitude less expensive than work (electricity) storage and thus may be the affordable pathway to an economic low-carbon world.
Deep convolutional neural networks (CNNs) are rapidly becoming the dominant approach to computer vision and a major component of many other pervasive machine learning tasks, such as speech recognition, natural language processing, and fraud detection. As a result, accelerators for efficiently evaluating DNNs are rapidly growing in popularity. Our work in this area focuses on two key challenges: minimizing the off-chip data transfer and maximizing the utilization of the computation units. In this talk, I will present an overview of my research work on understanding and impr
Enabled through the rapid advancement of real-time sensing and communication technologies, we are seeing a more flexible resource consumption behavior in many of our societal infrastructure systems that previously faced "inelastic" demand. This transformation can provide us with new operational flexibility and potentially enable us to make our urban world safer and more efficient. However, dispatching this new form of flexibility requires modeling and influencing human behavior.
Join us as we discuss the Carbon Neutrality Initiative (CNI) at UCSB! To begin the discussion we will have Dr. David Lea, the Global Climate Leadership Council (GCLC) representative for UCSB, discuss his role. This will be followed be a brief presentation by Jordan Sager, our Campus Energy Manager and Elizabeth Szulc, a Carbon Neutrality Fellow at UCSB. We will conclude with a Q&A and will leave plenty of room for discussion.
With the decline and eventual end of historical rates of lithographic scaling, we arrive at a crossroad where synergistic and holistic decisions are required to preserve performance over power scaling in digital computing. Numerous technologies are emerging with this exact aim, from devices (transistors), memories, 3D integration, specialization, photonics, and others.
High power, high efficiency semiconductor diode lasers are used as the primary pump source in virtually all new solid state and fiber laser systems. In many cases, the output power scalability of the full system is limited by the pump diode performance (power, spatial brightness, and/or spectral brightness). Over the past decade, research and development in the commercial sector has resulted in significant improvements increase in each of these areas. Both diode laser power and spatial brightness are thermally-limited, and addressing each requires addressing the waste heat
LED lighting is already saving massive amounts of energy as a more efficient replacement for simple lighting applications. Unlike previous efficient lighting technologies, LED offers higher efficiency without any compromise to lighting performance or quality. Beyond replacement of old technologies for simple illumination, LED technology can offer even further energy savings and additional benefits enabled by the new technology platform.