Call for Applications: Go Green in the City 2019

The Go Green in the City challenge is now entering its 9th year running and our 2019 edition is going to be even bigger, better and bolder! We are looking for students like you from around the world who are willing to put their skills and ideas to the test.
Application Deadline in 4 months

Intel and Alibaba announced the development of athlete tracking technology powered by artificial intelligence

Intel and Alibaba announced on the eve of CES that the companies are teaming to develop athlete tracking technology powered by artificial intelligence (AI) that is aimed to be deployed at the Olympic Games 2020 and beyond. The technology uses existing and upcoming Intel hardware and Alibaba cloud computing technology to power a cutting-edge deep learning application that extracts 3D forms of athletes in training or competition.

Machine Learning in Agriculture: A Review

Machine learning has emerged with big data technologies and high-performance computing to create new opportunities for data intensive science in the multi-disciplinary agri-technologies domain. In this paper, we present a comprehensive review of research dedicated to applications of machine learning in agricultural production systems.

UNICEF Innovation Fund's Call for Applications: Data science, machine learning, artificial intelligence or similar technology solutions

The UNICEF Innovation Fund is looking to make up to 100K equity-free investments to provide early stage (seed) finance to for-profit technology start-ups that have the potential to benefit humanity. If you’ve got a start-up registered in one of UNICEF’s programme countries and have a working, open source prototype (or you are willing to make it open-source) showing promising results, the UNICEF Innovation Fund is looking for you.
Application Deadline in a month

Etisalat Digital accelerates adoption of Artificial Intelligence and Blockchain in the United Arab Emirates

Etisalat Digital selects four disruptive companies to join Future Now scaleup programme after Dubai Future Accelerators collaboration.

NRGene and TOYOTA Collaborate to Develop Strawberry Varieties to Better Enable Local Production for the Japanese Market

NRGene, a worldwide leader in genomic analysis, and Toyota announced today the decoding of a leading commercial strawberry genome, a key milestone in the development of high-quality, locally-produced fruits for the Japanese market.

New automated system set to revolutionise property evaluation

The EU-funded ImmAzing project is giving banks, real estate brokers and professional property appraisers a faster, more accurate and transparent way of determining the objective value range of residential property.

Call for Applications: 2019 FIS FinTech Accelerator

Technologies explored by previous participants have included artificial intelligence, next-generation password authentication, blockchain-powered instant payments, and consumer lending credit verification using big data and social media.
Application Deadline in 18 days

Facebook's Call for Proposals: Artificial Intelligence System Hardware/Software Co-Design

Facebook is pleased to invite university faculty to respond to this call for research proposals on AI System Hardware/Software Co-Design.
Application Deadline in a month

LotLinx Releases The Future of Search Engine Marketing with an AI Powered App for Automotive Dealers

Results of two-year study shows that game changing AI marketing solution significantly outperforms human-managed campaigns by increasing shopper engagement while reducing average cost-per-click by 60 percent.

VineRobot, an Unmanned ground vehicle equipped with non-invasive sensor technology to monitor grape growth

Just like great wine needs time, great grapes require continuous attention and reliable assessment tools. Noting the absence of a convincing alternative to manual sampling and analysis, an EU-funded consortium has developed VineRobot, an ‘Unmanned ground vehicle’ (UGV) equipped with non-invasive sensor technology.

Intel AI Protects Animals with National Geographic Society, Leonardo DiCaprio Foundation

TrailGuard AI uses deep neural network algorithms that allow the device to recognize humans and vehicles with a high degree of accuracy. TrailGuard AI builds upon the success of RESOLVE’s first-generation TrailGuard camera deployed in protected reserves that alerts rangers any time it detects motion. With the first-generation camera, rangers receive many photos that they had to manually review to determine if there is a poaching threat or a false-positive triggered by other motion.

EU's Call for Proposals: Automated data collection and semi-supervised processing framework for deep learning

The aim is to develop infrastructure for automated collection of big data and implement a framework that allows efficient processing, segmentation and annotation of this data for deep learning methods. The primary use case is VHF (very high frequency) radio communication and transcription,annotation and processing of recorded data.
Application Deadline in 15 days

Precision in Agriculture using IoT and AI

IoT has a great potential to improve crop production. In Agriculture industry weather change, diseases, insects damages of crops are majorly analyze by different methods but some of them are unable to proceed properly with precision.

Let get inspired by innovation and win together in 2019

With the convergence of artificial intelligence, 5G, IoT, blockchain and additive manufacturing technologies, we are at the dawn of disruptive innovation that will impact businesses and enterprises worldwide.

Application of computer vision and low-cost artificial intelligence for the identification of phytopathogenic factors in the agro-industry sector

The article describes the approach for developing the proposed algorithm based on artificial intelligence and computer vision for phytopathogenic detection. The methodology for the development and validation stages is specifically discussed.

New artificial intelligence system mimics how humans visualize and identify objects

The approach is made up of three broad steps. First, the system breaks up an image into small chunks, which the researchers call “viewlets.” Second, the computer learns how these viewlets fit together to form the object in question. And finally, it looks at what other objects are in the surrounding area, and whether or not information about those objects is relevant to describing and identifying the primary object.

How Tiny Fingernail Sensors and AI Can Help Clinicians to Monitor Health and Disease Progression

This is where the potential of a fingernail sensor comes into play. We interact with objects throughout the day using our hands, such as the tactile sensing of pressure, temperature, surface textures and more. Our team realized it might be possible to derive interesting signals from how the fingernail bends throughout the course of a day, as we use our fingers to interact with our environment, and tap into the power of AI and machine learning to analyze and derive valuable insights from that data.

Artificial Intelligence Is Propelling the Pharmaceutical Industry by Enabling Smart Drug Discovery Solutions

AI creates growth opportunities in novel therapeutics development by leveraging multi-sourced data, finds Frost & Sullivan

UMITRON secures US$2 million project funding to deliver IoT and AI technology to drive growth of sustainable aquaculture

IDB Lab's grant resources will be used by UMITRON and Piscis to test and calibrate UMITRON's AI feeding technology. Additionally, funds will be used to both train local producers and scale up UMITRON's solution in the Lake Titicaca region. The end goal is to implement data-driven aquaculture feeding technology for farmers in Peru and eventually all of Latin America.

Call for collaborative projects: IoT4Industry - Application of IoT technologies in the manufacturing environment

The IoT4Industry project seeks to support EU growth and competitiveness through the development of a new cross-sectoral industrial value chain based on the integration and use of IoT and related components (sensors, chips, electronics component, communication networks, cloud computing, Big Data, Artificial Intelligence, digital security, etc.) into manufacturing tools, machines and robots, industrial processes, factories environment, supply chain integration, intra logistics & logistics 4.0 product life cycle, smart packaging, etc.
Applications are closed

Challenges and opportunities of introducing Internet of Things and Artificial Intelligence applications into Supply Chain Management

The study examines the challenges and opportunities of introducing Artificial Intelligence (AI) and the Internet of Things (IoT) into the Supply Chain Management (SCM). This research focuses on the Logistic Management. The central research question is “What are the key challenges and opportunities of introducing AI and IoT applications into the Supply Chain Management?”

Internet of Robotic Things – Converging Sensing/Actuating, Hyperconnectivity, Artificial Intelligence and IoT Platforms

The Internet of Things (IoT) concept is evolving rapidly and influencing new developments in various application domains, such as the Internet of Mobile Things (IoMT), Autonomous Internet of Things (A-IoT), Autonomous System of Things (ASoT), Internet of Autonomous Things (IoAT), Internet of Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc. that are progressing/advancing by using IoT technology.

Call for applications: The Facebook Artificial Intelligence Residency Program

The Artificial Intelligence (AI) Residency Program is a one-year research training position designed to give you hands-on experience with machine learning research while working in Facebook AI groups.
Application Deadline in 7 days

Performance Analysis of IoT-Based Sensor, Big Data Processing, and Machine Learning Model for Real-Time Monitoring System in Automotive Manufacturing

Current technologies such as Internet of Things (IoT)-based sensors can be considered a solution to provide efficient monitoring of the manufacturing process. In this study, a real-time monitoring system that utilizes IoT-based sensors, big data processing, and a hybrid prediction model is proposed.

Intel Artificial Intelligence Opens Door to Mobility for Quadriplegic Community

With HOOBOX Robotics’ Wheelie 7 kit powered by Intel artificial intelligence (AI) technologies, people can control their motorized wheelchairs with simple facial expressions. There are more than 60 people in the United States testing the Wheelie 7 – most of whom are quadriplegics, people with amyotrophic lateral sclerosis or senior citizens.

Qualcomm Launches $100M AI Investment Fund

Qualcomm Ventures Announces Investment in AnyVision, a World-Leading Face, Body, and Object Recognition Startup, at its 5G & AI Summit in San Francisco.

EU's Call for Proposals: Machine learning to detect Cyber intrusion and anomalies

The objective is to design an aircraft onboard security filter with an accuracy level of intrusion detection compatible with cyber protection objectives.
Application Deadline in 15 days

Automation for Water and Nitrogen Deficit Stress Detection in Soilless Tomato Crops Based on Spectral Indices

Water and nitrogen deficit stress are some of the most important growth limiting factors in crop production. Several methods have been used to quantify the impact of water and nitrogen deficit stress on plant physiology.

EU Call for Proposals: Big data and Artificial Intelligence for Monitoring Health Status and Quality of Life after the Cancer Treatment

Proposals should focus and deliver on how to better acquire, manage, share, model, process and exploit big data using, if appropriate, high performance computing to effectively monitor health status of individual patients, provide overall actionable insights at the point of care and improve quality of life after the cancer treatment.
Application Deadline in 3 months
2 months ago

Alibaba Cloud and PolyU to Advance Smart Cities and Smart Healthcare

Extended cooperation will focus on artificial intelligence research and applications with implications for the Greater Bay Area.

Bosch survey: Germans believe artificial intelligence will bring great benefits to mobility and manufacturing

Whether at home, in traffic, or at work, artificial intelligence (AI) is going to transform the world. It’s a future that is not so distant. Smartphones already come with smart voice-controlled assistants, and physicians are using AI to diagnose conditions.

Call for Proposals to support the exploration of how AI can help us understand, engage, and protect the planet

The National Geographic Society (NGS) and Microsoft’s AI for Earth program are seeking proposals to support the exploration of how AI can help us understand, engage, and protect the planet.
Applications are closed

OpenSHS: Open Smart Home Simulator

This paper develops a new hybrid, open-source, cross-platform 3D smart home simulator, OpenSHS, for dataset generation. OpenSHS offers an opportunity for researchers in the field of the Internet of Things (IoT) and machine learning to test and evaluate their models.
2 months ago

iPathology: Robotic Applications and Management of Plants and Plant Diseases

We present and review robotic applications on plant pathology and management, and emerging agricultural technologies for intra-urban agriculture. Greenhouse advanced management systems and technologies have been greatly developed in the last years, integrating IoT and WSN (Wireless Sensor Network). Machine learning, machine vision, and AI (Artificial Intelligence) have been utilized and applied in agriculture for automated and robotic farming.
2 months ago

EU Call for Proposals: Interoperable and smart homes and grids

The aim of the pilot is to exploit IoT reference architectures models that allow for combining services for home or building comfort and energy management, based on platforms that enable the integration of relevant digital technologies like IoT, AI, cloud and big data services and where applicable, combined with blockchain technologies.
Applications are closed
2 months ago

EU Call for Proposals: Agricultural digital integration platforms

Agricultural research and innovation supports the sector in coping with a complex mix of challenges it is facing, including for example the pressures on natural resources and farm revenues.
Applications are closed
2 months ago

Plant breeders tap robots, drones and artificial intelligence to feed the world

Digital innovations in agriculture, including robots, drones and artificial intelligence (AI), are part of a new arsenal of tools plant breeders are using to feed the world’s population.

Machine learning methods for crop yield prediction and climate change impact assessment in agriculture

We describe an approach to yield modeling that uses a semiparametric variant of a deep neural network, which can simultaneously account for complex nonlinear relationships in high-dimensional datasets, as well as known parametric structure and unobserved cross-sectional heterogeneity.