VC Deals: SoftBank Puts $940M In Self-Driving Bots

DoorDash (DOORD) is reportedly raising for a $500M round that would push its valuation to between $6B and $7B. Temasek is expected to lead the …

Welcome to Seeking Alpha’s Venture Capital Deals of the Week. Follow this account and turn on the e-mail alert to receive VCDeals in your inbox on Saturday mornings.

1. SoftBank bets $940M on autonomous delivery bots

SoftBank (OTCPK:SFTBF, OTCPK:SFTBY) Vision Fund invested $940M in autonomous vehicle startup Nuro at a $2.7B valuation.

Nuro was founded by two vets of Google’s self-driving project (now called Waymo) and last year launched an autonomous vehicle for grocery deliveries and other errands. Last year, Nuro and Kroger launched a pilot grocery delivery program in Arizona that uses a delivery bot without a safety driver. Nuro also licensed its tech to autonomous truck startup Ike.

The massive infusion will likely go towards expanding its delivery service, scaling up its fleet of self-driving bots, signing up new partners, and hiring.

2. Amazon makes another vehicle investment

Amazon (NASDAQ:AMZN) led a $700M equity round in electric truck startup Rivian. GM (NYSE:GM) was reportedly still circling a potential investment.

Rivian plans to launch its R1T pickup truck and R1S sport utility in the U.S. next year with a global launch following in 2021. The vehicles are modeled on a “skateboard” platform the company says has the flexibility to accommodate several different vehicle body styles. Amazon’s investment in Rivian came a week after the tech giant participated in a funding round for autonomous vehicle tech startup Aurora.

Competitors: Traditional truck and SUV automakers like GM and Ford (NYSE:F) plus Tesla (NASDAQ:TSLA).

3. DoorDash seeks $500M

DoorDash (DOORD) is reportedly raising for a $500M round that would push its valuation to between $6B and $7B. Temasek is expected to lead the round. DoorDash has already raised nearly $1B in funding from backers that include SoftBank and Kleiner Perkins. Valuation was $4B when the company raised $250M last year.

Earlier this year, DoorDash expanded its operations to cover all 50 U.S. states. The company has also reportedly started to supplement its driver income with consumer tips, similar to Instacart.

Competitor: GrubHub (NYSE:GRUB), Uber (UBER) Eats, and Postmates (POSTM), which filed for an IPO earlier this month.

4. Reddit confirms Tencent investment

Tencent (OTCPK:TCEHY, OTCPK:TCTZF) pitched in half of the confirmed $300M round in Reddit, the “front page of the internet.” TechCrunch reported on the investment last week, and the confirmation followed. The Series B round also included Sequoia, Fidelity, and Snoop Dogg and brought the valuation up to $3B.

Reddit generated $100M in revenue last year and plans to double the figure in 2019. As of late November, Reddit had 330M average MAUs and 14B screen views per month. Tencent’s investment rankled some Reddit users, but the company says it has no plans to create a censored version of the platform for the Chinese market, where the site is currently blocked.

5. Credit Karma for businesses gets $44M

Goldman Sachs (NYSE:GS) participated in a $44M round in business credit startup Nav. Point72 Ventures and Experian Ventures. As part of its investment, Goldman’s investment group managing director Rana Yared will join Nav’s board.

Nav essentially serves as a Credit Karma for small businesses, showing their credit scores from the major consumer and commercial credit agencies for free, which makes it easier for the company to know its financing options. Nav’s platform also contains over 100 financing products including loans and credit cards. Those payment partnerships are how Nav makes its money.

Editor’s Note: This article discusses one or more securities that do not trade on a major U.S. exchange. Please be aware of the risks associated with these stocks.

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Artificial Intelligence to boost Earth system science: Study

New York, Feb 16 (IBNS): A study by German scientists from Jena and Hamburg, published today in the journal Nature, shows that artificial …

Especially the potential of deep learning has only partially been exhausted so far, read the Friedrich Schiller University Jena website.

In particular, complex dynamic processes such as hurricanes, fire propagation, and vegetation dynamics can be better described with the help of AI.

As a result, climate and Earth system models will be improved, with new models combining artificial intelligence and physical modeling.

In the past decades mainly static attributes have been investigated using machine learning approaches, such as the distribution of soil properties from the local to the global scale.

For some time now, it has been possible to tackle more dynamic processes by using more sophisticated deep learning techniques.

This allows for example to quantify the global photosynthesis on land with simultaneous consideration of seasonal and short term variations.

From a plethora of sensors, a deluge of Earth system data has become available, but so far we’ve been lagging behind in analysis and interpretation”, explains Markus Reichstein, managing director of the Max Planck Institute for Biogeochemistry in Jena, directory board member of the Michael-Stifel-Center Jena (MSCJ) and first author of the publication.

“This is where deep learning techniques become a promising tool, beyond the classical machine learning applications such as image recognition, natural language processing or AlphaGo”, adds co-author Joachim Denzler from the Computer Vision Group of the Friedrich Schiller University Jena (FSU) and member of MSCJ. Examples for application are extreme events such as fire spreads or hurricanes, which are very complex processes influenced by local conditions but also by their temporal and spatial context.

This also applies to atmospheric and ocean transport, soil movement, and vegetation dynamics, some of the classic topics of Earth system science.

However, deep learning approaches are difficult. All data-driven and statistical approaches do not guarantee physical consistency per se, are highly dependent on data quality, and may experience difficulties with extrapolations.

Besides, the requirement for data processing and storage capacity is very high.

publication discusses all these requirements and obstacles and develops a strategy to efficiently combine machine learning with physical modeling.

If both techniques are brought together, so-called hybrid models are created.

They can for example be used for modeling the motion of ocean water to predict sea surface temperature. While the temperatures are modelled physically, the ocean water movement is represented by a machine learning approach.

“The idea is to combine the best of two worlds, the consistency of physical models with the versatility of machine learning, to obtain greatly improved models”, Markus Reichstein further explains.

The scientists contend that detection and early warning of extreme events as well as seasonal and long-term prediction and projection of weather and climate will strongly benefit from the discussed deep-learning and hybrid modelling approaches.

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Machine Learning Artificial intelligence Market Driving Factors, Growth and Applications 2025

Global Machine Learning Artificial intelligence Market report analyzes the current trends, through the historical data of various segments and obstacles …

Global Machine Learning Artificial intelligence Market report analyzes the current trends, through the historical data of various segments and obstacles faced with the competitors of the industry. This Machine Learning Artificial intelligence report was prepared to analyze the results and outcomes of the industry over the forecast period to 2025.

The Machine Learning Artificial intelligence market report examines the economic status and prognosis of worldwide and major regions, in the prospect of all players, types and end-user application/industries; this report examines the most notable players in major and global regions, also divides the Machine Learning Artificial intelligence market by segments and applications/end businesses.

Get Free Sample PDF of the report at: https://www.qyresearchgroups.com/request-sample/1150705

The Significant Companies Covered in this Report are:

AIBrain, Amazon, Anki, CloudMinds, Deepmind, Google, Facebook, IBM, Iris AI, Apple, Luminoso, Qualcomm

Global Machine Learning Artificial intelligence Market insights cover traits, growth, and size, segmentation, regional retreats, competitive landscape, market shares, trends, and plans. The attributes part of this Machine Learning Artificial intelligence report defines and explains the growth. The Machine Learning Artificial intelligence market size department gives industry earnings, covering the historical growth of this and predicting the long run. Machine Learning Artificial intelligence Drivers and restraints with the variables affecting the growth of this market. The segmentations divide the essential Machine Learning Artificial intelligence sub-industries that form the market.

Market section by Product Types:

  • Deep Learning
  • Natural Language Processing
  • Machine Vision
  • Others

Market section by Application:

  • Automotive & Transportation
  • Agriculture
  • Manufacturing
  • Others

Machine Learning Artificial intelligence Earnings and Gross Margin by Regions/Countries: (The United States, Asia-pacific, UK, Europe, Central & South America, The Middle East & Africa)

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Personal Assistant Robots Market 2023: Top Companies, Regional Growth Overview and Growth …

Neato Robotics Inc. Ecovacs Robotics Inc. Hasbro Inc. iRobot Corporation. Access Complete Global Personal Assistant Robots Industry Report …

Global Personal Assistant Robots Market

“Analytical Research Cognizance” shared Latest Report with Trends and Top Manufacturers analysis of “Personal Assistant Robots Market” Forecast to 2023

This report presents a comprehensive overview, market shares and growth opportunities of Personal Assistant Robots market by product type, application, key companies and key regions. According to this study, over the next five years the Women’s Athletic & Outdoor Shorts market will register a xx% CAGR in terms of revenue, the global market size will reach US$ xx million by 2023, from US$ xx million in 2017.

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Personal assistant robots for the home provide new opportunities for technology and service providers, including PC vendors, but also many potential risks.

The Personal Assistant Robots Market is segmented by product as follows:

Segmentation by product type:

Cleaning Robot

Entertainment & Toy Robot

Education Robot

Handicap Assistance Robot

Companion Robot

Personal Transportation Robot

Security Robot

Others

Segmentation by application:

Hospital

Nursing Home

Family

Others

The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market. The key manufacturers covered in this report:

Honda Motor Co. Ltd

Sony Corporation

Samsung Electronics Co. Ltd

F&P Robotics AG, ZMP Inc

Segway Inc

Neato Robotics Inc

Ecovacs Robotics Inc

Hasbro Inc

iRobot Corporation.

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This report also splits the market by region: Breakdown data in Chapter 4, 5, 6, 7 and 8.

Americas

United States

Canada

Mexico

Brazil

APAC

China

Japan

Korea

Southeast Asia

India

Australia

Europe

Germany

France

UK

Italy

Russia

Spain

Middle East & Africa

Egypt

South Africa

Israel

Turkey

GCC Countries

In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.

Research objectives

To study and analyze the global Personal Assistant Robots market size by key regions/countries, product type and application, history data from 2013 to 2017, and forecast to 2023.

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To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).

To project the size of Personal Assistant Robots submarkets, with respect to key regions (along with their respective key countries).

To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.

To strategically profile the key players and comprehensively analyze their growth strategies.

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Some of the Points from TOC is:

Chapter One: Scope of the Report

1.1 Market Introduction

1.2 Research Objectives

1.3 Years Considered

1.4 Market Research Methodology

1.5 Economic Indicators

1.6 Currency Considered

Chapter Two: Executive Summary

2.1 World Market Overview

2.1.1 Global Personal Assistant Robots Market Size 2013-2023

2.1.2 Personal Assistant Robots Market Size CAGR by Region

2.2 Personal Assistant Robots Segment by Type

2.2.1 Cloud-based

2.2.2 Premises-based

2.3 Personal Assistant Robots Market Size by Type

2.3.1 Global Personal Assistant Robots Market Size Market Share by Type (2013-2018)

Chapter Three: Global Personal Assistant Robots by Players

3.1 Global Personal Assistant Robots Market Size Market Share by Players

3.1.1 Global Personal Assistant Robots Market Size by Players (2016-2018)

3.1.2 Global Personal Assistant Robots Market Size Market Share by Players (2016-2018)

3.2 Global Personal Assistant Robots Key Players Head office and Products Offered

3.3 Market Concentration Rate Analysis

3.3.1 Competition Landscape Analysis

3.3.2 Concentration Ratio (CR3, CR5 and CR10) (2016-2018)

Chapter Four: Personal Assistant Robots by Regions

4.1 Personal Assistant Robots Market Size by Regions

4.2 Americas Personal Assistant Robots Market Size Growth

4.3 APAC Personal Assistant Robots Market Size Growth

4.4 Europe Personal Assistant Robots Market Size Growth

4.5 Middle East & Africa Personal Assistant Robots Market Size Growth

Chapter Five: Americas

5.1 Americas Personal Assistant Robots Market Size by Countries

5.2 Americas Personal Assistant Robots Market Size by Type

5.3 Americas Personal Assistant Robots Market Size by Application

5.4 United States

5.5 Canada

5.6 Mexico

……Continued

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www.arcognizance.com is an initiation in this new era of “analysis @ thought.” We are on a mission to replace the conventional research programs and give way to the latest methods and information for the organizations. We have created this hub of analytical research papers where you can get an access to the latest and the best research papers coming out from some reliable and budding research houses. After the advent of “new analytics” based on the data collection facilities of big data, the face of “business research facilities” has changed drastically. With ARC our experts have created a bookshelf where you can check out the research reports that are an outcome of the progression of knowledge in various industry sectors. Alongside you can also check some research papers, market reports, and forecasts that are talking about the “out of the box” developments in the market.

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Piper Jaffray Companies Upgrades 3D Systems (NYSE:DDD) to Overweight

Piper Jaffray Companies currently has $17.00 price objective on the 3D printing company’s stock. A number of other research firms have also issued …

3D Systems Co. logoPiper Jaffray Companies upgraded shares of 3D Systems (NYSE:DDD) from a neutral rating to an overweight rating in a research report released on Tuesday, January 29th, Marketbeat Ratings reports. Piper Jaffray Companies currently has $17.00 price objective on the 3D printing company’s stock.

A number of other research firms have also issued reports on DDD. Zacks Investment Research lowered shares of 3D Systems from a strong-buy rating to a hold rating in a research report on Tuesday, October 16th. Gabelli lowered shares of 3D Systems from a buy rating to a hold rating in a research report on Wednesday, October 31st. Loop Capital cut their price objective on shares of 3D Systems to $14.00 and set a hold rating on the stock in a research report on Wednesday, October 31st. Finally, ValuEngine lowered shares of 3D Systems from a strong-buy rating to a buy rating in a research report on Thursday, November 1st. Two research analysts have rated the stock with a sell rating, seven have assigned a hold rating and two have issued a buy rating to the company. 3D Systems has a consensus rating of Hold and a consensus target price of $13.89.

Shares of DDD opened at $13.68 on Tuesday. The company has a quick ratio of 1.50, a current ratio of 2.29 and a debt-to-equity ratio of 0.01. The stock has a market capitalization of $1.53 billion, a price-to-earnings ratio of -24.00 and a beta of 1.91. 3D Systems has a one year low of $9.00 and a one year high of $21.78.

Institutional investors have recently made changes to their positions in the company. Teachers Advisors LLC grew its stake in shares of 3D Systems by 1.1% in the third quarter. Teachers Advisors LLC now owns 209,336 shares of the 3D printing company’s stock worth $3,956,000 after acquiring an additional 2,209 shares during the last quarter. Vanguard Group Inc grew its stake in shares of 3D Systems by 2.5% in the third quarter. Vanguard Group Inc now owns 11,080,845 shares of the 3D printing company’s stock worth $209,428,000 after acquiring an additional 266,928 shares during the last quarter. Seven Eight Capital LP acquired a new stake in shares of 3D Systems in the third quarter worth $3,344,000. FMR LLC boosted its stake in 3D Systems by 10.6% during the third quarter. FMR LLC now owns 726,464 shares of the 3D printing company’s stock worth $13,731,000 after buying an additional 69,713 shares in the last quarter. Finally, Wells Fargo & Company MN boosted its stake in 3D Systems by 30.7% during the third quarter. Wells Fargo & Company MN now owns 168,754 shares of the 3D printing company’s stock worth $3,190,000 after buying an additional 39,594 shares in the last quarter. Institutional investors and hedge funds own 71.71% of the company’s stock.

About 3D Systems

3D Systems Corporation, through its subsidiaries, provides three-dimensional (3D) printing products and services worldwide. The company offers 3D printers, such as stereolithography, selective laser sintering, direct metal printing, multi jet printing, and color jet printers that transform data input generated by 3D design software, CAD software, or other 3D design tools into printed parts under the Accura, DuraForm, LaserForm, CastForm, and VisiJet brand names.

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Analyst Recommendations for 3D Systems (NYSE:DDD)

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