JCU's Phoebe Arbon was presented with a Science and Innovation Award for Young People in Agriculture, Fisheries and Forestry last night in Canberra. "I'll use the grant to develop, train and validate an AI model to identify, count and measure abalone from an image. So, very basically, the AI model will learn to predict the weight and size of abalone from images," she said. Ms Arbon said the technology is already in existence but needs specific instructions and application to work within the abalone industry. "Currently, assessing abalone is done manually which can cause harm to the abalone, and costs each farm about $25,000 a year," she said.

Lilt, the modern language service and technology provider, today announced it was named a winner in the Business Intelligence Group's Artificial Intelligence Excellence Awards program. Lilt's localization solution combines a community of the world's best professional translators with its AI-powered translation platform, bringing human-powered, technology-assisted translations to global enterprises like Intel, ASICS, Canva, DigitalOcean, WalkMe, and others. "We're thrilled to be recognized as a winner of the Artificial Intelligence Excellence Awards," said Spence Green, CEO of Lilt. "As a language service and technology provider, our AI and machine learning platform enables our customers to provide their customers with a consistent global experience, regardless of what language they speak." Lilt provides businesses with the ability to offer the same global experience to all customers, partners, and employees irrespective of language.

Ambi Robotics, formerly Ambidextrous Laboratories Inc., emerges from stealth today to introduce AmbiOS, an advanced robot operating system based on simulation-to-reality artificial intelligence (AI). AmbiOS rapidly trains robots before deployment to pick and pack items for fast and affordable integration. The $6.1 million seed funding, led by Bow Capital, Vertex Ventures and The House Fund, supports efforts to deploy more AI-powered robotic systems across Ambi Robotics' U.S. customer base as e-commerce and shipping demand continues to surge. This press release features multimedia. "Using our unique approach to deep learning AI based on simulation-to-reality transfer, AmbiOS quickly configures our systems for a variety of sensors, robots and package categories," says Ken Goldberg, co-founder of Ambi Robotics.

You can watch the recording of the debate from this link. "The digital revolution will bring with it a reshuffle of the established global order: those who are digitally competitive will stay ahead and become the new'digital superpowers', while those who are not digitally competitive will fall behind, no matter what their relative position is now," said AIDA committee Chair Dragoș Tudorache (Renew Europe, RO). "Is the EU doing enough to remain competitive on the global stage? Innovation and start-ups are the lifeblood of an economy and of economic growth. We need to work on supporting our start-ups and SMEs and securing a regulatory environment where they can thrive, become unicorns, go global, become tech giants, and compete with the other unicorns and global giants out there. For this, we need to think from their perspective and ensure that their needs are served," he said.

For media inquiries, please contact Gina DiGravio: 617-224-8962, ginad@bu.edu Warning signs for Alzheimer's disease (AD) can begin in the brain years before the first symptoms appear. Spotting these clues may allow for lifestyle changes that could possibly delay the disease's destruction of the brain. "Improving the diagnostic accuracy of Alzheimer's disease is an important clinical goal. If we are able to increase the diagnostic accuracy of the models in ways that can leverage existing data such as MRI scans, then that can be hugely beneficial," explained corresponding author Vijaya B. Kolachalama, PhD, assistant professor of medicine at Boston University School of Medicine (BUSM).

Niantic Labs, the maker of "Pokémon Go," is teaming with Nintendo for a new augmented reality video game based on the spritelike "Pikmin." The game, due to be released later this year, is the first in a new mobile games partnership between the companies announced Monday. They are not strangers, as Niantic developed "Pokémon Go," released in 2016, with The Pokémon Company, which is part-owned by Nintendo. "Pikmin," a 2001 game developed by Mario creator Shigeru Miyamoto, starred cute colorful plant-inspired creatures you could control. This game will have Pikmin appearing in the real world via AR to "encourage walking and make the activity more enjoyable," the companies said in the announcement.

Vonage (Nasdaq: VG), a global leader in cloud communications helping businesses accelerate their digital transformation, has announced that it has achieved Amazon Web Services (AWS) Machine Learning (ML) Competency status in the new Applied Artificial Intelligence (Applied AI) category. This designation recognizes that Vonage has demonstrated deep experience and expertise in building or integrating ML solutions on AWS. AWS Partners recognized as part of the AWS Machine Learning Competency expansion help customers take advantage of intelligent solutions for the business, from creating, automating, and managing end-to-end ML workflows to modernizing applications with machine intelligence. By working with AWS, Vonage is bringing AI into the contact center through AWS Contact Center Intelligence (CCI), with tools for Speech Recognition, Natural Language processing, Machine Learning and Text-to-Speech to deliver personalized, flexible and integrated customer experiences. With Vonage for AWS Contact Center Intelligence, Vonage is delivering the power of AWS cloud native services for AI and Machine Learning through the Vonage API Platform, enabling brands to access the capabilities of AWS AI and ML engines within any existing contact center environment.

WIRE)--BrainChip Holdings Ltd (ASX: BRN), a leading provider of ultra-low power high performance artificial intelligence technology, today announced it is sponsoring and presenting at tinyML Summit, a virtual event March 22-26, 2021. TinyML Summit will feature technical progress and ecosystem development within the "tiny" machine learning industry to enable ultra-low power ML in edge applications. Tiny ML is a growing field of ML technologies including hardware (dedicated integrated circuits), algorithms, and software capable of performing on-device data analytics at extremely low power to enable a range of always-on applications, primarily in battery-operated devices. Tiny ML is common in audio, visual, navigational, biometric, and medical devices as well as other commercial and industrial uses. Kristofor Carlson, BrainChip's Manager of Applied Research, will present a talk "It's an SNN future: Are you ready for it?

As part of its annual Women Leaders in AI program, today IBM (NYSE: IBM) recognized 40 innovative female business leaders from 18 countries who are using IBM Watson to help drive transformation, growth and innovation across a wide variety of industries. This year honorees include women leaders from The Clorox Company, City of Austin, The Depository Trust and Clearing Corporation, EY, Ford Motor Company, ServiceNow and many more. Celebrating diverse talent in the field of AI and creating a culture of inclusion are important as the adverse impact of the COVID-19 pandemic on women in the workplace becomes more apparent. A recent IBM Institute for Business Value study revealed that despite heightened awareness of the challenges facing women in the workplace driven by the pandemic, gender equality is still not a top priority for 70 percent of global businesses, according to business professionals surveyed. Moreover, fewer women surveyed hold senior vice president, vice president, director and manager roles in 2021 than they did in 2019.

TORONTO, March 19, 2021 /PRNewswire-PRWeb/ -- Which artificial intelligence method will work best with your image data? Image analysis is an essential part of digital pathology, from research and discovery of targets and biomarkers to understanding the tumor microenvironment to development of novel therapeutics. Whether you need to perform simple tasks or complex analysis of multiplex markers, artificial intelligence can improve performance and facilitate your analysis tasks to unlock the information hidden in image data. During the last years, deep learning algorithms have revolutionized the quality of analysis and allowed accurate assessment of highly heterogeneous and previously challenging tissue structures. In order to best utilize the capabilities that AI methods offer, however, it is important to understand what the terms "artificial intelligence" (AI), "machine learning" (ML), and "deep learning" (DL) really refer to when it comes to image analysis.