July 10, 2020 – 3:00pm to 10:00pm PDT
Join us for EFF’s 30th Anniversary Livestream on Friday, July 10th! Celebrate three decades of defending Internet freedom with us.
The lineup is available, and it’s filled with interactive fun. Stop in to check out a variety of online rights discussions, entertainment, and an EFF30 Fireside Chat—the first of a year-long series on the past, present, and future of online rights. And all day we will salute the animal friends that are the backbone of the Internet. #EFF30Pets
Don’t miss EFF’s Fourth Annual Tech Trivia starring our own Cybertiger Cooper Quintin who will urge you to nerd your hardest in this exploration of digital security, online rights, and Internet culture.
IOTA Launches Austria State-Backed Christian Doppler Laboratory for Blockchain Research
The IOTA Foundation, a non-profit distributed ledger technology-focused foundation has announced that it is joining a new research project, which is expected to run for seven years. The IOTA Foundation is joining the new research laboratory for blockchain technologies for the Internet of Things (IoT) as an industrial partner.
The research lab, the Christian Doppler Laboratory (CDL-BOT), will provide “cutting-edge research on DLT interoperability, the intersection of DLT with the Internet of Things and developer support offerings.”
The Federal Minister for Digital Economic Affairs in Austria has officially opened the laboratory in a digital ceremony, joined by the co-founder and co-chair of the IOTA Board of Directors, Dominik Schiener. The IOTA Foundation continues to strive for developing open source technologies and infrastructure for trusted IoT.
For the IOTA Foundation, this project would allow more development and research on the IOTA Tangle as well as applications in the Internet of Things. The project would also look beyond the IOTA protocol to further develop the European DLT ecosystem. In an official press release shared with Blockchain.News, IOTA explained:
“This requires novel mechanisms to enable DLT interoperability ranging from cross-blockchain token transfers or atomic swaps to cross-blockchain smart contract invocation and interaction, as well as providing client-side blockchain interoperability through developer support.”
Pantos, a scientific research project aiming to solve the key technical barriers in the crypto and digital asset space, as well as Bitpanda, a leading European neobroker has also joined the research project. Prof. Stefan Schulte, the lead for the new lab said:
“With the rising number of potential application areas for DLT-based payments and data exchange in the Internet of Things, new DLTs have to be integrated, and interoperability between different DLTs becomes necessary. I am looking forward to doing joint research with the IOTA Foundation and Pantos in order to find novel solutions to this highly topical topic.”
The press release also mentioned that postdoctoral and doctoral students would also be employed for the research project, under the supervision of Prof.Stefan Schulte.
Image source: Shutterstock Source: https://Blockchain.News/news/iota-austrian-state-christian-doppler-laboratory-blockchain-research
inAtlas en el Top Ten de las principales empresas en Location Intelligence
La revista IndustryWired sitúa a inAtlas entre las diez principales empresas de Inteligencia de Localización con herramientas efectivas para el éxito empresarial
– inAtlas ha desarrollado Geomarketing, una aplicación eficaz y útil basada en la Location Inteligente que detecta las zonas de mayor rentabilidad y optimiza las acciones de captaciones de nuevos clientes y retenerlos
La Location Intelligence o Inteligencia de Localización se ha convertido en una tecnologia ágil y eficiente que recopila, analiza datos geoespaciales con aplicación práctica en los diferentes sectores económicos y permite lograr el éxito de las empresas.
La revista IndustryWired, conocida por su gran impacto en el sector tecnológico, en su reciente artículo Top 10 Location Intelligence Companies Redefining usiness Success, sitúa a inAtlas, empresa especializada en Location Analytics que ofrece soluciones estratégicas de negocios basadas en la ubicación, en el ranking de las diez mejores empresas de Inteligencia de Localización que utilizan esta metodología para optimizar los éxitos ante los desafíos empresariales al detectar tendencias, adelantarse a sus competidores y tomar decisiones más inteligentes.
La publicación realiza un análisis acerca de la efectividad de utilizar herramientas de Location Intelligence para conseguir éxito en el desarrollo de estrategias empresariales y toma de decisiones eficaces mediante la integración de datos de ubicación generados a partir de diferentes fuentes como comportamientos del consumidor, factores ambientales, IoT o sistemas GPS entre otros. La aplicación de Geoanalitica online de inAtlas, apunta la revista, ayuda a los clientes a realizar planes de negocios, diseñar campañas de marketing, encontrar nuevos clientes, implementar estrategias de geo-marketing o encontrar lugares ideales para nuevos puntos de venta y franquicias.
Además, recoge los diferentes servicios de la compañía, sus soluciones comerciales sectoriales, servicios de geolocalización, generación de leads, geomarketing, monitoreo de la competencia, análisis predictivo y prescriptivo, mapas de expansión y los modelos de propensión a compra.
inAtlas, ha desarrollado Geomarketing, una herramienta que relaciona contextos geográficos con datos de los mercados empresariales y sociodemográficos para negocios B2B y B2C. Esta aplicación se fundamenta en la Inteligencia de Localización y ofrece un amplio abanico de soluciones y utilidades, para bancos, empresas de seguros, inmobiliarias, retails, empresas de sector telecom y energía,cadenas de franquicias, redes de negocios, aportando valor añadido, para simplificar el proceso de toma de decisiones de negocios.
Geomarketing, permite sincronizar de forma continua la información interna del negocio, gestionadas por CRM, Softwares de Business Intelligence y ERP con información actualizadas de los mercados de empresas y hogares, oferta inmobiliaria, catastro y bases de datos sectoriales en la totalidad del territorio de España y Portugal.
Gracias a la Inteligencia de Localización, inAtlas, detecta cuáles son las zonas de mayor rentabilidad, hecho que permite optimizar las acciones de captaciones de nuevos clientes y retenerlos. “Conocer la monitorización del comportamiento de los clientes, competidores y proveedores de un área elegida, junto con la localización y el comportamiento de una empresa en el mapa aumenta la competitividad de las empresas al ser capaces de actuar con diligencia, anticiparse y encontrar oportunidades de negocio”, asevera Silvia Banchini.
AI Applied to Aquaculture Aims for Improved Efficiency, Healthier Fish
By AI Trends Staff
Fish farmers in Norway are using AI models designed to cut costs and improve the efficiency of their efforts to raise salmon, one of the country’s major exports, thanks to efforts of the Norwegian Open AI Lab.
The efforts are part of a growing trend to apply AI automation to aquaculture, which is the farming of fish, crustaceans, mollusks, aquatic plants, algae and other organisms.
The AI models are designed to optimize feeding, keep the fish clean and healthy, and help companies make better decisions regarding farm operations, according to an account in WSJ Pro. The Norwegian Open AI Lab is run by Norwegian telecommunications carrier Telenor AS A, which along with other companies, provides technology services such as testing of 5G mobile connectivity, to salmon farms.
Salmon exports in 2019 totaled some $11.3 billion, according to the Norwegian Seafood Council. Representing fisheries and fish farm industries, the trade group reported that fish exports increased about one percent between January and August 2020.
Under pressure to improve environmental standards and reduce waste, the industry has been working with tech companies to start providing AI tools to Norway’s fish farms.
For example, Alphabet Inc.’s Tidal initiative is partnering with seafood company Mowi AS A to use AI to analyze and monitor fish and environmental conditions. Microsoft, Swiss engineering firm ABB Ltd. and fish farm operator Norway Royal Salmon ASA are piloting an AI solution to remotely track fish populations. And IBM has created a machine-learning tool that predicts outbreaks of sea lice, which are parasites that threaten farmed fish.
The Norwegian Open AI Lab has based its AI initiatives on neural networks, which learn based on large sets of training data, and a type of AI known as “tiny machine learning,” which encompasses hardware and software capable of performing on-device sensor data analytics at extremely low power.
One of the neural network applications is designed to help fish farm workers understand salmon feeding behavior. It analyzes data from underwater cameras to determine behavior changes that signal the fish are no longer hungry, according to Bjørn Taale Sandberg, head of Telenor Research. Some 40% of the cost of fish farming is in feed.
The company is also developing small computers that could remain on site at a fish farm and eventually make decisions automatically based on what cameras detect. The computers use “tiny machine learning,” which can be especially useful for remote fish farms where the internet networks might not be strong. The system could automate some decisions without connecting to the shore, reducing manual labor required to monitor the farm.
“In the ocean or in a wild fiord, you want to avoid the number of times you visit the farm to check for problems,” Sandberg stated.
Opportunity for AI in Aquaculture Attracting Startups
The trend of increased application to AI to aquaculture has attracted some startup firms who see an opportunity, as outlined in a recent account from The Fish Site.
For example, Observe Technologies offer to track measurable patterns when stocks are feeding. Their goal is to provide farmers empirical and objective guidance on how much to feed. The system aggregates data from sources including sensors, cameras, and acoustics, then extracts relevant information for its algorithms, and sends alerts to farmers for when to increase or decrease feeding. The software learns as it goes, getting smarter over time, and can be operated remotely.
Another player called eFishery has developed a system which uses sensors to detect hunger levels in shrimp and fish, controlling dispensers which release the right amounts of food; the company claims this can reduce feed costs by up to 21%. Founded in 2013, the company is based in Indonesia.
Elsewhere, Japanese and Singaporean aquaculture technology firm Umitron Cell offers a smart fish feeder which can be controlled remotely. “Farmers are given data-driven decision-making advice to optimize feeding schedules. This reduces waste, improves both profitability and sustainability while offering users a better work-life balance by eliminating the need to be out in the water in dangerous conditions,” stated Umitron product manager Andy Davison.
Among its recent projects, Umitron is leading a project to develop a data platform for shrimp farming in the ASEAN region by using IoT and AI technologies. The project aims to improve shrimp farming productivity and working conditions while conserving the natural environment.
The company also recently announced the Pulse mobile application for Android users, to provide a high-resolution ocean map of critical environmental parameters such as water temperature, chlorophyll, dissolved oxygen, salinity and wave height.
Startup XpertSea focuses on optimizing the economics of harvesting, which most farmers gauge based on educated guesses. The company’s product uses computer vision and AI to calculate the growth of shrimp, helping farmers predict the most profitable harvest periods. Deep learning techniques are used to pinpoint timeframes by continuously using machine learning on historical growth cycle data.
“The company’s Growth Platform provides online management software which uses AI to capture, ingest, store and process field data to give farmers and industry experts actionable, data-driven insights throughout the whole production cycle,” stated Valérie Robitaille, CEO of XpertSea. “This platform is used by farmers but also feed, health, genetics, and certification enterprises to provide data-driven services to farmers.”
Another part of the product, XperCount, collects critical animal data by using cameras and machine learning which is applied to count, size, and weigh animals in seconds.
The company reports having over 600 farmers and other customers, and in the past year has processed over 2.3 billion animal data points and optimized the performance of 6,000 crops.
Strides are being made in the automation of aquaculture to produce more seafood to feed the world population while residing the environmental footprint of operations.
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