A camera or a computer: How the architecture of new home security vision systems affects choice of memory technology
A long-forecast surge in the number of products based on artificial intelligence (AI) and machine learning (ML) technologies is beginning to reach mainstream consumer markets.
It is true that research and development teams have found that, in some applications such as autonomous driving, the innate skill and judgement of a human is difficult, or perhaps even impossible, for a machine to learn. But while in some areas the hype around AI has run ahead of the reality, with less fanfare a number of real products based on ML capabilities are beginning to gain widespread interest from consumers. For instance, intelligent vision-based security and home monitoring systems have great potential: analyst firm Strategy Analytics forecasts growth in the home security camera market of more than 50% in the years between 2019 and
Osaka, Japan — The current COVID-19 climate has made vaccines, antibodies, and immune responses topics of everyday conversation. Now, it isn’t just immunologists who want to know how our bodies respond to re-infections months, years, or sometimes decades after an initial immune response. A new study by Tomohiro Kurosaki at Osaka University shows that this ability requires Bach2, a protein that regulates the expression of genes needed to instruct activated B cells under selection to become memory B cells.
Like most biological processes, immune responses are complicated. They involve numerous types of cells and proteins, performing precise step-by-step processes. And of course, we don’t know all of them yet. For example, memory B cells are a type of white blood cell that are created in lymph nodes or spleens during an infection. They stick around for years and allow
Data analytics, deep learning, and other AI/ML applications drive multi-billion-dollar flash memory market
Virtual Flash Memory Summit (FMS), the world’s premiere flash memory conference and exposition, announces a major program track on Storage for Artificial Intelligence and Machine Learning (AI/ML) Applications.
The new track features talks on storage strategies, model training, workloads, NVMe and logical volumes, persistent memory, software-defined architectures, and accelerating the GPU data path. It also includes panels on model scalability and long-term horizons, plus a keynote by Geoffrey Burr, Distinguished Researcher at IBM Almaden Research Center. Virtual Flash Memory Summit 2020 will be held on November 10-12 and expects to draw more than 6,000 attendees.
AI/ML applications require vast amounts of low latency, high-throughput flash storage. Cloud and enterprise data center architectures must be optimized to train deep neural networks and analyze petabyte-scale datasets, all while satisfying critical cost constraints.
Powerful SODIMM Performance Memory Enhances PCs for Working, Schooling or Gaming From Home
As households across the nation continue to work from home and school from home, HyperX, the gaming division of Kingston Technology, Inc., today announced the release of new HyperX Impact DDR4 SODIMM memory for enhanced performance in notebooks and small form factor PCs. The new single rank 16GB Impact DDR4 SODIMM memory is available as single modules and in various kit configurations from 8GB to 64GB to help boost PC performance for a range of working, gaming, and schooling needs.
This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20200929005125/en/
HyperX Impact DDR4 SODIMM (Photo: Business Wire)
“The new Impact DDR4 SODIMM utilizes the latest technology to offer high performance coupled with maximum reliability,” said Kristy Ernt, DRAM business manager, HyperX. “The Plug N Play functionality of HyperX Impact DDR4 SODIMM memory increases overall performance in
The MarketWatch News Department was not involved in the creation of this content.
Sep 24, 2020 (The Expresswire) — Memory Module Market” is valued at 10040 million USD in 2020 is expected to reach 12980 million USD by the end of 2026, growing at a CAGR of 3.7% during 2021-2026, According to New Research Study. 360 Research Reports provides key analysis on the global market in a report, titled “Memory Module Market by Types (DDR, DDR2, DDR3, DDR4, Others), Applications (PC, Server, Industrial, Aerospace and Defense, Gaming) and Region – Global Forecast to 2026” Browse Market data Tables and Figures spread through 119 Pages and in-depth TOC on Memory Module Market.
COVID-19 can affect the global economy in three main ways: by directly affecting production and demand, by creating supply chain and market disruption, and by its financial impact on firms and financial markets.
With the rise of AI at the edge comes a whole host of new requirements for memory systems. Can today’s memory technologies live up to the stringent demands of this challenging new application, and what do emerging memory technologies promise for edge AI in the long-term?
The first thing to realize is that there is no standard “edge AI” application; the edge in its broadest interpretation covers all AI-enabled electronic systems outside the cloud. That might include “near edge,” which generally covers enterprise data centers and on-premise servers.
Further out are applications like computer vision for autonomous driving. Gateway equipment for manufacturing performs AI inference to check for flaws in products on the production line. 5G “edge boxes” on utility poles analyse video streams for smart city applications like traffic management. And 5G infrastructure uses AI at the edge for complex but efficient beam-forming algorithms.
Global Market Monitor recently published a market research report on Embedded Non-volatile Memory (Envm), which studied Embedded Non-volatile Memory (Envm) industry outlook, competitive situation, regional market analysis, type & application segment analysis, and market trend forecast by 2027.
Embedded non-volatile memory (eNVM) is an important storage technology advancement that enables modern computing systems to be faster and more scalable. Compared to stand-alone flash memory, eNVM technology improves in-system reprogrammability and makes electronic designs more flexible.
Get Sample Copy of Embedded Non-volatile Memory (Envm) Market Report at: https://www.globalmarketmonitor.com/request.php?type=1&rid=592358
Competitive Landscape Important players profiled in the global Embedded Non-volatile Memory (Envm) market include: eMemory Technology Semiconductor Manufacturing International GlobalFoundries HHGrace United Microcontroller Kilopass
On the basis of application, the Embedded Non-volatile Memory (Envm) market is segmented into: Automobile Consumer Electronics Others
Embedded Non-volatile Memory (Envm) Type eFlash eE2PROM FRAM Others
Table of Content 1 Report Overview 1.1 Product Definition and Scope 1.2
If sport is good for the body, it also seems to be good for the brain. By evaluating memory performance following a sport session, neuroscientists from the University of Geneva (UNIGE) demonstrate that an intensive physical exercise session as short as 15 minutes on a bicycle improves memory, including the acquisition of new motor skills. How? Through the action of endocanabinoids, molecules known to increase synaptic plasticity. This study, to be read in the journal Scientific Reports, highlights the virtues of sport for both health and education. School programmes and strategies aimed at reducing the effects of neurodegeneration on memory could indeed benefit from it.
Very often, right after a sporting exercise — especially endurance such as running or cycling — one feels physical and psychological well-being. This feeling is due to endocannabinoids, small molecules produced by the body during physical exertion. “They circulate in the blood and easily