Beyond trendy names like Tesla and Alphabet chasing self-driving cars, a host of auto brands and other tech heavyweights are also investing in autonomous R&D. Private companies working in auto tech are attracting record levels of deals and funding, with autonomous driving startups leading the charge. Along with early-stage startups, VCs, and other investors, large corporations are also angling to get a slice of the self-driving pie. From autonomy to telematics to ride sharing, the auto industry has never been at more risk. Get the free 67-page report PDF. Using CB Insights' investment, acquisition, and partnership data, we identified over 40 companies developing road-going self-driving vehicles. They are a diverse group of players, ranging from automotive industry stalwarts to leading technology brands and telecommunications companies. This list is organized alphabetically and focuses on larger corporate players in the space (as opposed to earlier-stage startups). Companies working on industrial autonomous vehicles were not included in this analysis. A few of the companies or brands listed below belong to the same parent organization but are detailed separately if they are operating distinct autonomous development programs. Some companies are grouped together by key partnerships or alliances. Given the complex web of relationships between these players, other collaborations are also noted in each profile. This is not intended to be an exhaustive list of corporations working on autonomous vehicle technology. This brief was originally published on 9/25/2015 and featured 25 select corporations. It was updated and expanded on 5/17/2017, 9/4/2018, and 8/28/2019. Over the last decade, Amazon has spent billions of dollars working on finding ever-better solutions to the last-mile problem in delivery. It's built its own fleet of cargo jets, explored delivery by drone in the form of "Prime Air," and more. More recently, an increasing percentage of that investment has been directed toward autonomous vehicle technology. In February 2019, Amazon invested in Aurora Innovation, an autonomous tech startup run by former executives from two other firms with strong ties to self-driving technology: Google and Tesla. "Autonomous technology has the potential to help make the jobs of our employees and partners safer and more productive, whether it's in a fulfillment center or on the road, and we're excited about the possibilities." The Aurora investment isn't the only autonomous technology play that Amazon is pursuing. In January 2019, the company introduced the Amazon Scout, a six-wheeled electric-powered delivery robot.

Video content will become richer and more data-intensive as it evolves from HD to 4K to 360 and even 8K. Companies are moving these visual workloads to the cloud and edge in order to keep up with capacity, growth and service demands. With the emergence of edge computing and cloudified, 5G networks, organizations have an opportunity to deliver insights through artificial intelligence (AI) that complement new user experiences and are adaptable to the complexities of delivering video content to a global audience. Companies need a visual cloud and media analytics platform that is flexible enough to support changing business models and deployment options, software that enables rapid innovation, and hardware that can scale to provide a range of performance, all while being able to lower total cost of ownership and grow profitability. Intel launched the Intel Select Solutions for Visual Cloud to give companies an easier path towards successful content creation and delivery starting with the Intel Select Solution for Simulation and Visualization and Intel Select Solution for Visual Cloud Delivery Network.

The global insurance fraud detection market size is expected to reach USD 9.7 billion by 2025, registering a CAGR of 13.7% over the forecast period, according to a new report by Grand View Research, Inc. Detecting and preventing fraudulent activities is a global challenge for insurers. However, the emergence of advanced solutions such as the use of automated business rules, self-learning models, text mining, predictive analytics, image screening, network analysis, and device identification is expected to deliver actionable insights to improve claims processes. As a result, insurance organizations are adopting fraud detection solutions that not only recognize the genuine claims process but also reduce the number of false positives. The prevention and detection of fraud capabilities are increasing with the growing awareness of perpetrators and sophisticated crimes. Global concerns about the ever-increasing cases of insurance frauds coupled with sophisticated organized crime, have signaled a need for coherent action by all insurance companies. As per a research conducted by the Federal Bureau of Investigation (FBI), the total estimated cost of insurance fraud in the U.S. is expected to be more than USD 40 billion per year.

Earlier this year Tesla CEO Elon Musk said the future is now. By the middle of 2020, he said at an event for investors, Tesla's autonomous system will have improved to the point where drivers will not have to pay attention to the road. He revealed that Tesla has plans to roll out Level 5 autonomous taxis next year in some parts of the United States, which means they will be capable of driving themselves anywhere on the planet, under all possible conditions, with no limitations. That's compelling, but is it really possible within such a short timeframe? In May, a month after Musk's speech, Consumer Reports said that the new lane-changing feature on Tesla's updated Navigate on Autopilot software lags far behind a human driver's skills.

STERLING, Va., Dec. 5, 2019 /PRNewswire-PRWeb/ -- EnterWorks, a leading provider of Master Data Management (MDM) and Product Information Management (PIM) solutions, has announced a live webcast event featuring Michele Goetz, Principal Analyst, Business Insights, Information Architecture and Artificial Intelligence, at Forrester. The webinar, "How AI, Machine Learning and Data Strategy Can Enable Compelling New Products & Experiences," will take place on Tuesday, December 10, 2019 from 11:00 am to 12:00 pm EST. It is sponsored by EnterWorks; Amplifi, an information management consultancy that helps the world's leading brands, retailers and manufacturers to harness and unleash the power of their data; and Sisense, a business intelligence software and analytics platform. The webinar will inform participants how artificial intelligence, machine learning and data strategy can enable compelling new products and experiences, and how deploying AI and ML depends on effective master data and its proper governance. According to Forrester's Goetz, many companies have initiated AI and ML projects only to find that they have not established the foundation for success that comes with implementing a comprehensive data management strategy and the platforms needed to make replicable and scalable success possible.

Powered by artificial intelligence and machine learning, OpenPIP dramatically reduces the time and cost of integrating and quantifying mass spectrometry data while increasing the quality of output by eliminating observer-based bias. The announcement was made at BioData World Congress 2019, taking place this week in Basel, Switzerland. This AI-based software is accessed via the Google Cloud Platform and has demonstrated over 99 percent concordance with human peak selection. A publication detailing the specific neural network architecture is currently undergoing peer review. Interested scientists may access the OpenPIP platform at https://openpip.intervenn.bio.

BioSig Technologies, Inc. (NASDAQ: BSGM) ("BioSig" or the "Company"), a medical technology company developing a proprietary biomedical signal processing platform designed to improve signal fidelity and uncover the full range of ECG and intra-cardiac signals, today announced that the Company entered into a technical collaboration with Reified Capital, a provider of advanced artificial intelligence-focused technical advisory services to the private sector. Reified was co-founded by Dr. Alexander D. Wissner-Gross and Timothy M. Sullivan, the founders of Gemedy. The new collaboration with Cambridge, Massachusetts-based Reified will focus on developing a foundational artificial intelligence platform on the basis of integrated healthcare datasets, beginning with ECG and EEG data acquired by BioSig's first product, PURE EP(tm) System - a novel real-time signal processing platform engineered to provide electrophysiologists with high fidelity cardiac signals. Electrophysiology focused technological solutions developed under the terms of this collaboration will be integrated into the PURE EP(tm) technology platform. Reified is led by Harvard- and MIT-trained computer scientist and physicist Dr. Wissner-Gross, an award-winning computer scientist, physicist, entrepreneur and author.

According to a new market intelligence report by BIS Research titled'Global Artificial Intelligence (AI) in Agriculture Market Analysis and Forecast, 2019-2024', the artificial intelligence in agriculture market is estimated at $578.0 million in 2019 and is projected to reach $2,015.7 million by 2024. The market is expected to grow at a CAGR of 28.38% from 2019 to 2024. The reported growth in the market is expected to be driven by the increasing need to optimize farm operation planning, growing need to derive insights from emerging complexities of data-driven farming, and rising development of autonomous equipment in agriculture. Browse More than 49 Data Tables and 129 Figures spread through 293 Pages and in-depth TOC on "Global Artificial Intelligence in Agriculture Market" Precision agriculture is a rising phenomenon in the farming industry since the past decade and has been adapted to improve crop yield to meet the global food demand. It involves the application of emerging smart technologies such as artificial intelligence in farming operations to reduce the wastage of resources with precise and variable application of agri-inputs.

The "Artificial Intelligence in IoT (AIoT) Convergence: Technologies, Platforms, Applications and AIoT Services in Industry Verticals 2019 - 2024" report has been added to ResearchAndMarkets.com's offering. This research provides a multi-dimensional view into the AI market including analysis of embedded devices and components, embedded software, and AI platforms. This research also assesses the combined Artificial Intelligence (AI) marketplace including embedded IoT and non-IoT devices, embedded components (including AI chipsets), embedded software and AI platforms, and related services. This research evaluates leading solution providers including hardware, software, integrated platforms, and services. It includes quantitative analysis with forecasts covering AI technology and systems by type, use case, application, and industry vertical. The forecast also covers each major market sector including consumer, enterprise, industrial, and government.

With the help of computational pathology firm Paige, healthcare technology giant Royal Phillips is bringing clinical artificial intelligence to pathology laboratories to help improve a pathologist's workflow and treatment planning for patients. According to a joint news release Thursday, this strategic collaboration will first start with Paige Prostate to help pathologists quantify and characterize cancer in tissue samples and make precise and efficient diagnoses. The release noted the need for more advanced cancer diagnosis technology as the number of cancer cases rises. Glass slide-based laboratory workflows are being converted to digital using solutions like ones offered by Phillips. Once digital images are created, the CE-marked Paige Prostate software is applied automatically to detect and localize prostate cancer, providing pathologists with valuable information they can use to evaluate prostate biopsies.