Press Release
Global Artificial Intelligence (AI) in Agriculture Market, Providing Precision Farming Techniques to Reduce Production Cost and Chemicals, is expected to witness CAGR of 24.3%, by 2024: Energias Market Research Pvt. Ltd.
NEW YORK, March 12, 2018 (GLOBE NEWSWIRE) -- The Global Artificial Intelligence in Agriculture (AIA) Market is expected to grow at a significant CAGR of 24.3% during the forecast period. The factors driving the growth of the global AIA market are rising adoption of information management systems (IMS), automated irrigation, increasing crop productivity by implementing deep learning techniques, and increasing global population. Furthermore, growing trend of precision farming and increasing adoption of smart sensors are also fueling the demand of the global AIA market. Replacement of human labor is also expected to overcome by AIA, to minimize scarcity of physical labor. However, the high cost of collecting data of agricultural land is a major restraint of the AIA market growth.
Artificial Intelligence Experts from Auto Industry and Silicon Valley to Explore How AI is Disrupting Automotive at the FOCUS: AI in Automotive Conference April 5
"This is our second event focused on the current and future implementation of AI in the auto industry," said John Sousanis, managing director of Wards Intelligence. "We believe the evolution in Artificial Intelligence will be one of the most impactful trends in automotive - affecting everything from the way vehicles are designed, tested and built, to the way they interface with passengers, the road and other vehicles. Our first conference was the beginning of an ongoing discussion of this rapidly changing technology. For our second event, we've expanded to a full-day to take a deeper dive into AI, and present perspectives and insight from our analysts and subject matter experts inside and outside the industry." Registration for the event is limited to 120 people, and limited seating remains available.
Fusionex Drives Digital Insurance Initiative For Major Insurance Player
KUALA LUMPUR, Malaysia--(BUSINESS WIRE)--Fusionex, a multi-award-winning, leading data technology provider specializing in Analytics, Big Data, Machine Learning, and Artificial Intelligence (AI), has commenced a digital insurance initiative for leading Takaful insurance company STMB. Takaful Malaysia's online sales portal "Click for Cover" was launched at a grand ceremony and signalled the digital transformation of their business processes with Fusionex technology. The launch ceremony was officiated by Datuk Seri Johari Abdul Ghani, Finance Minister II, and marked the beginning of a seamless customer experience in purchasing and renewing insurance policies online via data-centric approach. Leveraging Fusionex technology, Takaful's digital insurance initiative is able to help customers process their applications, issue quotations, perform underwriting, send cover notes and e-documents via a customer-focussed and seamless online platform. The platform focuses on providing the best service to its customers, with the ability to understand each customer in a more personalized way.
The company that made smartphones smart now wants to give them built-in AI
The British chip design firm ARM came up with the processors used in virtually all the world's smartphones. Now it plans to add the hardware that will let them run artificial-intelligence algorithms, too. ARM announced today that it has created its first dedicated machine-learning chips, which are meant for use in mobile and smart-home devices. The company says it's sharing the plans with its hardware partners, including smartphone chipmaker Qualcomm, and expects to see devices packing the hardware by early 2019. Currently, most small or portable devices that use machine learning lack the horsepower to run AI algorithms, so they enlist the help of big servers in the cloud.
Waymo Is Putting Self-Driving Trucks on Atlanta Highways. Here's Why That Matters.
Waymo pioneered self-driving cars; now it's playing catch-up on self-driving trucks. Or is it already in the lead there, too? The self-driving car company, formerly part of Google and now owned by Google's parent company, Alphabet, announced Friday that it will start testing self-driving semitrucks on Atlanta highways next week. The big rigs, made by Peterbilt, will carry cargo bound for Google's data centers, the company said in a blog post. A human driver will be behind the wheel even as the car's software pilots it.
Anexinet Enhances ListenLogic With Artificial Intelligence and Ensemble Machine Learning Capabilities
Advanced topic extraction using AI & machine learning, natural language processing, and regex classifiers to identify topics across all data sources - enabling organizations to diagnose not only what is happening in customer interactions, but why it's happening. Sentiment analysis and entity recognition using proprietary and open source algorithms to understand the overall sentiment and label data by types such as person, organization, location, events, and products. Pre-configured industry dashboards and classifier libraries that address the most common uses cases for sales, churn and compliance to jumpstart time-to-value. Data connectors to a variety of data sources and destinations, send classified data to an internal visualization tool or build powerful apps using the ListenLogic API. On premise or cloud deployment leveraging proprietary data redaction that removes personally identifiable information for an added level of security.
Nintendo Just Announced a Bunch of Switch Games, Including Dark Souls
Nintendo fans had plenty to be excited about in 2017 with the release of games like The Legend of Zelda: Breath of the Wild and Super Mario Odyssey. Now in 2018, Nintendo plans to update more of its popular franchises with Splatoon 2 and a Nintendo Switch version of Super Smash Bros. In addition, the company announced Thursday at its Nintendo Direct event, it's bringing a remastered version of Dark Souls to the console. There's no official name for the new Super Smash Bros. installment yet, but a teaser video clip showed mainstays like Mario and Link from The Legend of Zelda series, as well as newcomers such as the Inklings from Splatoon. Inklings, the human-squid hybrids that can transform to swim through pools of ink, have never been featured in a Super Smash Bros. game before.
Google used AI to sort millions of historical Life photos you can explore online
Photographers for the now-defunct Life magazine produced some of the most iconic images of the 20th century and left behind an archive of around 6.5 million photos. It's an important historical artifact, but it represents a big challenge for any human who wants to catalog and explore it. That's why Google has stepped up to the plate and announced today that it's used its AI skills to create Life Tags -- a new, searchable archive of Life photographs. It's also a bit slow to load, makes easy mistakes (check the "computer" tag and you get plenty of pictures of pianos, for example), and misses many useful categories, including the photographer, date, and who appears in each picture. The latter would have required a bit of extra analysis, but Google certainly knows how to do facial recognition.
DataRobot to Partner with Monsanto Company on Artificial Intelligence Initiatives
BOSTON--(BUSINESS WIRE)--DataRobot, the pioneer in automated machine learning, today announced that Monsanto Company has selected the DataRobot automated machine learning platform to enable its Artificial Intelligence initiatives. Monsanto is a global modern agriculture company that develops products and digital tools to help farmers around the world grow crops while using energy, water and land more efficiently. Monsanto will leverage the DataRobot platform to improve data processes with automated and predictive analytics models that will provide insights across the company's core business functions including research & development, supply chain, and sales. DataRobot is the world's only software that puts the power of AI into the hands of any business user. DataRobot pre-packages and automates the data science workflow, enabling users to build and deploy highly accurate predictive models in a fraction of the time of traditional methods.