Blenheim s Smart Machine creates world-first viticulture robots, wins Pernod Ricard backing
16 May, 2021 11:29 PM
4 minutes to read
Kersley Kahl and with three of the four ATVs made so far. Another five are in the works. Photo / Supplied
Kersley Kahl and with three of the four ATVs made so far. Another five are in the works. Photo / Supplied Robots don t have bad days, they don t get tired at the end of a 10-hour shift and potentially make mistakes. Smart Machine chief executive Andrew Kersley would be a fan of automation. His three-year-old company has developed the Autonomous Vineyard Tractor or AVT, billed as a world-first - that is currently being tested by Stoneleigh and several other vineyards around Marlborough. It can take care of mulching, leaf removal and trimming, and also features an array of data-gathering sensors.
People waiting in line at a job fair in New York, USA – April 26, 2013. Photo: rblfmr / Shutterstock.com
The fourth industrial revolution (or Industry 4.0) is upon us. From artificial intelligence to cultured meats to 3D printing, new innovations appear to be on the verge of ushering in a world of both stunning material abundance and human leisure. Such is the forecast of the World Economic Forum, which welcomes this impending technological transformation as an “opportunity … to create an inclusive, human-centered future.”
Yet beneath this positive gloss lies a deep anxiety that Industry 4.0 will actually result in a dystopic future of massive technological unemployment. Celebrity entrepreneurs like Bill Gates and Elon Musk “wring their hands over the negative consequences that artificial intelligence and automation could have for workers,” while a diverse array of public figures, from the former World Bank chief to European trade union leaders, have warned of the dire
has partnered
with Smart Engines, a science-driven company that creates advanced data recognition systems for combatting the 30 most common types of ID forgery. The companies aim to prevent the use of forged IDs (such as dummies, photocopies, and monitor recaptures) in the 200+ countries and territories in which they operate creating a reliable and secure digital KYC experience for customers worldwide.
Smart Engines’ ID scanning software uses AI to help Sumsub detect fraud with greater speed and accuracy. The software specifically protects against multiple forms of ID forgery, including dummies, photocopies, and monitor recaptures of documents. It features “Computation Document Forensic AI”, which enables accurate detection of optical variable devices (such as holographic security elements) and special visual security elements (monograms, ornaments, etc.). Document geometry checks and inspections within video streams and separate frames are also made possible by this techn
11 May 2021 17:05 GMT
Sumsub, an identity verification platform that takes care of KYC/KYB/AML processes, has partnered with Smart Engines, a science-driven company that creates advanced data recognition systems for combatting the 30 most common types of ID forgery. The companies aim to prevent the use of forged IDs (such as dummies, photocopies, and monitor recaptures) in the 200+ countries and territories in which they operate creating a reliable and secure digital KYC experience for customers worldwide.
Smart Engines’ ID scanning software uses AI to help Sumsub detect fraud with greater speed and accuracy. The software specifically protects against multiple forms of ID forgery, including dummies, photocopies, and monitor recaptures of documents. It features “Computation Document Forensic AI”, which enables accurate detection of optical variable devices (such as holographic security elements) and special visual security elements (monograms, ornaments, etc.). Document geom
E-Mail
IMAGE: Compared with regular urea (RU), the matrix-based slow-release urea (MSU) reduced N leaching and ammonia emission, and thus improved rice growth and increased rice yield. (Image by YANG Yang). view more
Credit: Hefei Institutes of Physical Science (HFIPS)
The applied nitrogen in crop production is easily lost through ammonia emission and nitrogen leaching. Therefore, many attempts have been made on the development of novel slow-release fertilizers to reduce nitrogen loss and improve crop production.
A research team led by Prof. WU Yuejin from the Institute of Intelligent Machines of the Hefei Institutes of Physical Science developed a novel matrix-based slow-release urea (MSU) recently to improve nitrogen use efficiency in rice production, and they assessed the performances of it.