Spendesk Raises $38M in Series B Funding

The round, which brought the total raised to €45M, was led by Index Ventures. The company intends to use the funds for product development (by …

spendeskSpendesk, a Paris, France-based spend management platform for small to mid-sized businesses (SMBs), raised €35M in Series B funding round.

The round, which brought the total raised to €45M, was led by Index Ventures.

The company intends to use the funds for product development (by adding features including smart analytics, support for more international currencies, wire transfers, and strategic partnerships with complementary services such as TravelPerk) and international expansion(with new offices opening in London and Berlin).

Led by Rodolphe Ardant, CEO and Founder, Spendesk provides a platform that combines virtual and physical payment methods with approval workflows, automatic receipt capture, real-time spend analysis and invoice management.

Finance teams also benefit from reporting and accounting integrations.

More than 1,500 companies across Europe use Spendesk including Seedrs, Houzz, Bulb or Moneybox.

FinSMEs

09/09/2019

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3D Motion Capture Systems Market Production Analysis, Opportunities & Growth Forecast: 2019 to …

Prominent companies of a 3D Motion Capture Systems market that has achieved a significant share in a market (offers company profiles and 3D …

Global 3D Motion Capture Systems market research analysis trails crucial business scenario and events like technological advancement, collaborations and acquisitions, product presentation and various business strategies of the 3D Motion Capture Systems market obsessed in previous few decades and that need to be kept in forthcoming years from 2019 to 2028. This report executes an extensive investigation of historic, current and futuristic tendencies of a 3D Motion Capture Systems market and future prospects. The global 3D Motion Capture Systems report is an exquisite research report for different users such as research analysts, 3D Motion Capture Systems managers, business experts, key judgment leaders, as well as for self-analyzing.

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The report cited outlook of major geological areas in global 3D Motion Capture Systems market covering North America (includes top countries like Mexico, Canada and the US), Latin America (includes top countries such as Brazil, Argentina and Colombia ), Europe (includes top countries like Russia, UK, France, Germany and Italy), Asia-Pacific (includes top countries such as Korea, India, Japan, China, Thailand, and South East Asia), the Middle East and Africa (includes top countries like South Africa, Egypt, UAE, Nigeria, and Saudi Arabia). The 3D Motion Capture Systems report has concentrated on each and every region explicitly to understand the landscape relating to other industrialists at micro and macro level.

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Prominent companies of a 3D Motion Capture Systems market that has achieved a significant share in a market (offers company profiles and 3D Motion Capture Systems business production depend on sales revenue, cost of a product and gross margin) comprise OptiTrack, Codamotion, Qualisys, STT – Systems, Vicon Motion Systems, Northern Digital, Phasespace, Motion Analysis Corporation, Synertial, Phoenix Technologies, XSens Technologies and Noraxon.

Analysis based on the various segments like component, system, end-user, and region to scrutinize the scope of the global 3D Motion Capture Systems market comprise:

Segmentation by Component:

Hardware

Software

Service

Segmentation by System:

Non-Optical 3D Motion Capture System

Optical 3D Motion Capture System

Segmentation by End-User:

Media and Entertainment

Engineering & Design and Industrial

Biomechanical Research and Medical

Education

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Artificial Intelligence Is Revealing Secrets About How the Ghent Altarpiece Was Made—and …

Researchers have harnessed the power of artificial intelligence to decode x-ray images of the Ghent Altarpiece, the 15th-century masterpiece by …

Researchers have harnessed the power of artificial intelligence to decode x-ray images of the Ghent Altarpiece, the 15th-century masterpiece by brothers Hubert van Eyck and Jan van Eyck at the St. Bavo Cathedral in Belgium.

Being able to read the x-rays can help identify damage to the painting by showing areas where varnish or overpainting hides cracks, paint loss, or other structural issues. The scans can also teach researchers about the artists’ working methods, revealing the physical structure of the canvas or panel and its supports, as well as the different layers of paint used in its creation.

But because the Ghent Altarpiece’s panels are double sided, it has been difficult to parse the x-ray images. A newly developed algorithm has allowed scientists to deconstruct the data to create two distinct images.

“This approach demonstrates that artificial intelligence-oriented techniques—powered by deep learning—can be used to potentially solve challenges arising in art investigation,” said Miguel Rodrigues of the electronic and electrical engineering department at the University College London in a statement.

The 12-panel polyptych painting, titled The Adoration of the Mystic Lamb and completed in 1432, has been undergoing restoration at Belgium’s Royal Institute for Cultural Heritage since 2012. As part of that work, the piece was subject to hyperspectral imaging, macro x-ray fluorescence scanning, and imaging x-ray radiography, as well as high-resolution photography in both the visible and infrared spectrums.

The Ghent Altarpiece, front and back. The missing panel was stolen almost 100 years ago. Photo by D. Provost (closed Ghent Altarpiece) and H. Maertens (open Ghent Altarpiece); courtesy of Saint-Bavo’s Cathedral, Art in Flanders.The Ghent Altarpiece, front and back. The missing panel was stolen almost 100 years ago. Photo by D. Provost (closed Ghent Altarpiece) and H. Maertens (open Ghent Altarpiece); courtesy of Saint-Bavo’s Cathedral, Art in Flanders.

The Ghent Altarpiece, front and back. The missing panel was stolen almost 100 years ago. Photo by D. Provost (closed Ghent Altarpiece) and H. Maertens (open Ghent Altarpiece); courtesy of Saint-Bavo’s Cathedral, Art in Flanders.

The study’s findings, published last week in the journal Science Advances, take a closer look at the outermost upper panels of Adam and Eve, which feature two interiors from the Annunciation scene when the altarpiece is folded closed. As a 2-D representation of a 3-D object, x-rays flatten out a variety of information, including the physical make-up of the work, making it difficult to create a clear image of the paintings on either side.

To better interpret this information, scientists turned to a convolutional neural network–based self-supervised framework, training a deep neural network with color photographs of the back and front of the paints, as well as the x-ray of the entire panel. As a result, the AI was able to develop an algorithm to reconstruct x-ray images of both sides of the panel, separating the x-ray of the two-sided paintings into two distinct x-ray images.

The algorithm interpreting the x-rays of a detail of Adam on the Ghent Altarpiece. The first two rows show the unmixed x-rays separating the two sides, while the third row shows the original x-ray of the full panel.The algorithm interpreting the x-rays of a detail of Adam on the Ghent Altarpiece. The first two rows show the unmixed x-rays separating the two sides, while the third row shows the original x-ray of the full panel.

The algorithm interpreting the x-rays of a detail of Adam on the Ghent Altarpiece. The first two rows show the unmixed x-rays separating the two sides, while the third row shows the original x-ray of the full panel. Courtesy of KIK-IRPA.

The new method has only been used on two of the altarpiece’s panels so far, but is expected to assist in the further study of the famous work. Moving forward, it could also make it easier to identify covered-up compositions on reused canvases, or changes an artist made during a work’s creation.

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