⏪🕰 2009 – Using a new modeling program, Lab researchers predict the collision between the defunct Russian Cosmos 2251 and privately-owned American Iridium 33 satellite months before it happened.
Learn more 🛰→ https://str.llnl.gov/content/pages/past-issues-pdfs/2009.07.pdf
The particle tracks emanating from a high energy collision at the LHC in 2014 show the creation of many new particles. It’s only because of the high-energy nature of this collision that new masses can be created.
In the coming decades, the planet’s most heavily concentrated populations may occupy city environments where a digital blanket of sensors, devices, and cloud connected data are orchestrated to enhance humanity’s living experience. A variety of smart concepts are forming key elements of what enable city ecosystems to function effectively – from traffic control and environmental protection to the management of energy, sanitation, healthcare, security, and buildings. In this article, we reflect on the potential personal impacts of the smart city, and its technologies, on the individuals residing there.
Eyes on the Prize
In the race to attract ideas, business, talent and money, the world’s premier cities are competing to build highly interconnected smart environments where people, government, and business operate in symbiosis with spectacular, exponentially improving technologies. These include big data, the Internet of Things (IoT), cloud computing, hyperconnectivity, artificial intelligence (AI), robots, drones, autonomous green vehicles, 3D/4D printing, and renewable energy. The trick will be to ensure that this array of technological goodies is harnessed in service of the humans that make cities what they are.
GONE ARE the days when conspiracy-mongers had to find shards of evidence and contort it to convince people. Now, just their malevolence is needed. If a concocted scenario can’t be proved, then perhaps it can’t be disproved either. That is toxic for a stable society and politics. So how did we get here, and how do we get out?
Nancy L. Rosenblum of Harvard University and Russell Muirhead of Dartmouth College are the authors of “A Lot of People Are Saying: The New Conspiracism and the Assault on Democracy” (Princeton, 2019). Though conspiracy theories have always existed, they note that today something is different and dangerous: “Conspiracy without the theory.”
WASHINGTON — Several hundred million ash trees around the nation have fallen victim to a beetle known as the emerald ash borer. Thousands of doomed trees once stood tall in the D.C. area, according to bug guy Mike Raupp, an entomologist at the University of Maryland.
“This is a devastating pest,” said Raupp.
Local governments are fighting back against what Raupp says is a tsunami of the beetles, which chew their way into the tree and feed on what’s underneath the bark.
Hot Chips 31 is underway this week, with presentations from a number of companies. Intel has decided to use the highly technical conference to discuss a variety of products, including major sessions focused on the company’s AI division. AI and machine learning are viewed as critical areas for the future of computing, and while Intel has tackled these fields with features like DL Boost on Xeon, it’s also building dedicated accelerators for the market.
The NNP-I 1000 (Spring Hill) and the NNP-T (Spring Crest) are intended for two different markets, inference and training. “Training” is the work of creating and teaching a neural network how to process data in the first place. Inference refers to the task of actually running the now-trained neural network model. It requires far more computational horsepower to train a neural network than it does to apply the results of that training to real-world categorization or classification tasks.
Intel’s Spring Crest NNP-T is designed to scale out to an unprecedented degree, with a balance between tensor processing capability, on-package HBM, networking capability, and on-die SRAMs to boost processing performance. The underlying chip is built by TSMC — yes, TSMC — on 16nm, with a 680mm die size and a 1200mm interposer. The entire assembly is 27 billion transistors with 4x8GB stacks of HBM2-2400 memory, 24 Tensor Processing Clusters (TPCs) with a core frequency of up to 1.1GHz. Sixty-four lanes of SerDes HSIO provides 3.58Tbps of aggregate bandwidth and the card supports an x16 PCIe 4.0 connection. Power consumption is expected to be between 150-250W. The chip was built using TSMC’s advanced CoWoS packaging (Chip-on-Wafer-on-Substrate), and carries 60MB of cache distributed across its various cores. CoWoS competes with Intel’s EMIB, but Intel has decided to build this hardware at TSMC rather than using its own foundries. Performance is estimated at up to 119 TOPS.
The semi-annual slow-slip event means dozens of tremors under Puget Sound — and a slightly higher risk of a Cascadia megaquake.
