The greenhouse horticulture market size is poised to grow by USD 8.81 billion during 2020-2024, progressing at a CAGR of almost 6% throughout the forecast period, according to the latest report by Technavio. The report offers an up-to-date analysis regarding the current market scenario, latest trends and drivers, and the overall market environment. The report also provides the market impact and new opportunities created due to the COVID-19 pandemic. Download a Free Sample of REPORT with COVID-19 Crisis and Recovery Analysis.
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Technavio has announced its latest market research report titled Global Greenhouse Horticulture Market 2020-2024 (Graphic: Business Wire)
Plants need CO2 to produce glucose during the process of photosynthesis. Greenhouses require additional CO2 to be given to the plants for increasing the yield, even with proper ventilation. CO2 can be extracted from the air using different techniques. Earlier techniques for achieving optimum levels of CO2 included capturing CO2 using biomass or geological engineering. A recent technique called direct air capture captures CO2 directly from the atmosphere. The companies are coming up with advanced technology to extract CO2. Therefore, improvements in CO2 extraction technologies for greenhouses will influence the growth of the greenhouse horticulture market during the forecast period.
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The major greenhouse horticulture market growth came from the plastic segment. Plastic greenhouses are generally made from polycarbonate, acrylic, polyethylene, or fiberglass. Polycarbonates and acrylics are plastic materials having high impact strength and protect crops from snow as well as hail without breaking. Polyethylene transmits lesser light than glass and is resistant to the impact of hail. Moreover, the adoption of plastic greenhouses is increasing due to lower initial investment costs
BlackSwan Technologies Launches World’s First AI Operating System, Raises $28 Million in Funding to Pioneer Next Generation of Enterprise Software
Groundbreaking AI Software Highlighted by Gartner As “Bringing AI Closer to Human Learning and Intelligence”
Company’s Stealth Mode Successes Include Tens of Millions in Revenue, Long-Term Contracts & Partnerships with the World’s Largest Consultancies & Fortune 500 Clients
BlackSwan Technologies launches as the world’s first enterprise AI operating system, enabling any company to leverage the most advanced artificial intelligence for an unprecedented level of operational efficiency and data-driven decision making. Since it began offering its technology to a limited customer base earlier this year, BlackSwan Technologies has generated tens of millions of dollars in revenue through multi-year contracts with many leading businesses. The company has also established a groundbreaking partnership with Deloitte to provide leading global banks an AI-powered platform that is already proven to increase revenue and drive efficiencies.
BlackSwan Technologies was recently recognized in Gartner’s 2020 Hype Cycle for Emerging Technologies report as a pioneer in “bringing AI closer to human learning and intelligence.” The company’s signature Platform as a Service (PaaS), ELEMENT, accomplishes this by combining multiple AI technologies — including machine learning, natural language processing, deep learning, neural network and data operation facilities — into a single platform.
Unlike other enterprise AI offerings, ELEMENT does not require well-organized data sets, countless hours of data normalization or technical in-house expertise to implement. ELEMENT’s Low code/No code, cloud-agnostic system includes several advanced enterprise applications including for Risk Management, Compliance, Lead Generation, Personalization and Market Intelligence. The platform also allows users to build enterprise applications up to 60 times faster and at a fraction of the cost of market alternatives. ELEMENT is designed to continuously learn and evolve with the enterprise and has a completely customizable structure with a simple, drag-and-drop interface, democratizing the development and execution of large, industrial enterprise applications.
“We believe this represents a
Keysight Technologies Enhances PathWave Software Suite with Cloud Processing to Eliminate Design Workflow Limitations
Enables engineers to focus on improved designs and device reliability while reducing project risk
Keysight Technologies, Inc. (NYSE: KEYS), a leading technology company that helps enterprises, service providers and governments accelerate innovation to connect and secure the world, announced it has expanded the company’s PathWave Software Suite with new and enhanced capabilities. The new PathWave solutions enable engineers to remove computational limitations across the workflow, with cloud processing clusters, to improve designs and device reliability, while reducing project risk.
Design and test engineers are struggling with complexity limitations that require weeks, if not months, of crunching data which can significantly slow the development process and market introduction. Keysight’s PathWave, an open, scalable, and predictive software platform, offers fast and efficient data processing, sharing and analysis at every stage in the product development workflow. Combining design software, instrument control and application-specific test software, it enables engineers to address increasing design, test, and measurement complexity and develop optimal electronic products.
“Keysight continues to invest in software solutions through new capabilities in our PathWave platform,” said Jay Alexander, chief technology officer at Keysight Technologies. “We are confident these new capabilities will enable our customers to bring computational power into their own design and test workflows – accelerating time to results, time to insights, and ultimately time to market.”
Further strengthening the capabilities of PathWave, Keysight is launching 5 new and enhanced software solutions that leverage the power of cloud processing to address computational limitations throughout the design process, including:
PathWave Advanced Design System (ADS) Software 2021
Now equipped with design cloud simulation services, PathWave ADS 2021 software reduces simulation time, increases simulation test coverage and provides access to scalable hardware resources in the cloud. This new software solution eliminates barriers to developing high performance hardware products by enabling design engineers for mobile and
For those looking to find strong Computer and Technology stocks, it is prudent to search for companies in the group that are outperforming their peers. Has Maxar Technologies (MAXR) been one of those stocks this year? Let’s take a closer look at the stock’s year-to-date performance to find out.
Maxar Technologies is one of 614 companies in the Computer and Technology group. The Computer and Technology group currently sits at #11 within the Zacks Sector Rank. The Zacks Sector Rank considers 16 different sector groups. The average Zacks Rank of the individual stocks within the groups is measured, and the sectors are listed from best to worst.
The Zacks Rank is a proven system that emphasizes earnings estimates and estimate revisions, highlighting a variety of stocks that are displaying the right characteristics to beat the market over the next one to three months. MAXR is currently sporting a Zacks Rank of #2 (Buy).
Within the past quarter, the Zacks Consensus Estimate for MAXR’s full-year earnings has moved 41.36% higher. This is a sign of improving analyst sentiment and a positive earnings outlook trend.
Based on the most recent data, MAXR has returned 59.16% so far this year. At the same time, Computer and Technology stocks have gained an average of 23.36%. This means that Maxar Technologies is outperforming the sector as a whole this year.
To break things down more, MAXR belongs to the Satellite and Communication industry, a group that includes 10 individual companies and currently sits at #110 in the Zacks Industry Rank. On average, stocks in this group have lost 27.04% this year, meaning that MAXR is performing better in terms of year-to-date returns.
Investors with an interest in Computer and Technology stocks should continue to track MAXR. The stock will be looking to continue its solid
Keysight Technologies and ROHM Semiconductor Enable Designers to Rapidly Modify SMPS Reference Design for SiC Power Devices
“Digital Twin” of ROHM Reference Design Enables “What if…” Design Space Exploration
Keysight Technologies, Inc. (NYSE: KEYS), a leading technology company that helps enterprises, service providers and governments accelerate innovation to connect and secure the world, and ROHM Semiconductor, a leading semiconductor company, jointly announce today a PathWave Advanced Design System (ADS)-compatible workspace that enables designers to perform pre-compliance testing on virtual prototypes of switched-mode power supply (SMPS) designs. This new capability saves time and cost by catching errors early in the design before they become a big problem.
Demand for SMPS is driven by the need for greater efficiency, increased power density and lower cost. Fast, low-loss switches made from silicon carbide (SiC) and related materials will power future applications due to the high performance and efficiency they enable. However, unwanted side effects from high-speed switching include voltage spikes (“ringing”). In addition, it is more difficult to meet conducted and radiated electromagnetic interference (EMI) specifications in higher speed designs. Pre-compliance analysis of a “virtual prototype” or “digital twin” is ideal for managing this challenge, but previously required expertise to build and use the necessary design information, called a “workspace.”
To address this, Keysight teamed with ROHM to create the “twin” of ROHM’s reference design (model P01SCT2080KE-EVK-001) available to mutual customers via Keysight’s web site at https://www.keysight.com/us/en/assets/3120-1476/application-notes/Virtual-Reference-Design.pdf.
Virtual prototypes are complementary to physical prototypes. Physical prototypes are the gold standard for compliance and measured characteristics, but have several drawbacks including: expensive and time consuming to design, build and measure; are vulnerable to catastrophic failure (the infamous “smoke test” that produces actual smoke); and it is hard to get a measurement probe onto interior nodes.
In contrast, virtual prototypes are easy to change and while they do flag device overstress as warning messages during simulation, they never emit real