Call for Applications: Machines for Machine Intelligence

Garages hold a special place in the history of tech. They are the beginning of great things; a place where game-changing innovations are born and incubated. Machine Intelligence Garage is a programme that helps businesses access the computation power and expertise they need to develop and build machine learning and Artificial Intelligence solutions.
Application Deadline in 2 months

Call for Proposals: The ESA Copernicus 2.0 Challenge

The ESA Copernicus 2.0 Challenge is looking for solutions that reflect the upcoming “golden era” in Earth Observation by demonstrating how new trends in EO can work together with the traditional EO satellites. Copernicus 2.0 will rely on a combination of large and traditional satellites with SmallSats. Constellations of NanoSats, HAPS (High Altitude Platform Stations) and drones are certain to become important contributors of EO data, complementing the more traditional fleet of the Copernicus Sentinels and Contributing Missions
Application Deadline in 3 months

Disease Detection in Tree Leaves and Fruits using Image Processing Techniques

In this paper, we detect the tree leaves and fruits disease using image processing techniques. In this paper apple, grapes and pomegranate disease are detected. The apple diseases are apple scab, apple rot, Marssonina leaf blotch, black rot canker, apple mosaic. The grape diseases are black rot, powdery mildew, downy mildew, anthracnose, bacterial leaf spot, and rust. The pomegranate diseases are bacterial blight, aspergillus fruit rot, anthracnose, cercospora fruit spot, cescospora leaf spot.

Smartbins: Using Intelligent Harvest Baskets to Estimate the Stages of Berry Harvesting

This article proposes the use of Smartbins, intelligent harvest baskets with sensors to collect weight, temperature, and vibration data. Combined analysis of the variables collected, using machine learning algorithms, allows the system to estimate which stage the basket is at with an accuracy of 80%, and to assess whether the fruit has been exposed to situations that could affect its shelf life.

NVIDIA Announces Jetson Nano, $99 Tiny NVIDIA CUDA-X AI Computer

Unveiled at the GPU Technology Conference by NVIDIA founder and CEO Jensen Huang, Jetson Nano comes in two versions — the $99 devkit for developers, makers and enthusiasts and the $129 production-ready module for companies looking to create mass-market edge systems. Jetson Nano supports high-resolution sensors, can process many sensors in parallel and can run multiple modern neural networks on each sensor stream. It also supports many popular AI frameworks, making it easy for developers to integrate their preferred models and frameworks into the product.

Call for Projects: PoweredByTF 2.0 Challenge!

Use our alpha release of TensorFlow 2.0 to do something nifty: build a model, a mobile or web application, an art installation, or something else entirely! The sky is the limit - and creativity is encouraged. We're excited to see what you build!
Application Deadline in a month

Detection of Fir Trees (Abies sibirica) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning

Invasion of the Polygraphus proximus Blandford bark beetle causes catastrophic damage to forests with firs (Abies sibirica Ledeb) in Russia, especially in Central Siberia. Determining tree damage stage based on the shape, texture and colour of tree crown in unmanned aerial vehicle (UAV) images could help to assess forest health in a faster and cheaper way.

EU's Call for Proposals: An empowering, inclusive Next Generation Internet

The objective is to support actions on smarter, open, trusted and personalised learning solutions to optimise digital learning and to allow learners to engage and interact with content and with peers.
Application Deadline in 3 days

Call for Proposals: BayWa Smart Farming Challenge

BayWa is looking for innovative solutions that use new technologies, ideas and products to support sustainable agriculture. As the global population continues to grow every year, so too does the demand for agricultural products. To continue feeding the world without damaging the environment is one of the greatest challenges faced by society, and can only be achieved by increasing the efficiency and sustainability of agricultural production. BayWa invites submissions that look to tackle this challenge by combining satellite data with other data sources in an innovative and commercially viable way, and where possible, by using machine learning/artificial intelligence to process the data.
Application Deadline in 3 months

HOLMeS: eHealth in the Big Data and Deep Learning Era

The aim of this paper is to introduce the HOLMeS (health online medical suggestions) system: A particular big data platform aiming at supporting several eHealth applications. As its main novelty/functionality, HOLMeS exploits a machine learning algorithm, deployed on a cluster-computing environment, in order to provide medical suggestions via both chat-bot and web-app modules, especially for prevention aims.

Call for Applications: Techstars/Amazon Alexa Accelerator Program 2019 for early-stage startups

Up to 10 startups will be invited to take part in the 2019 Alexa Accelerator, powered by Techstars. Builders from around the world who are enthusiastic about voice, AI and other enabling technologies - and their ability to transform customer and business experiences - are encouraged to apply.
Application Deadline in 13 days

CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture

To encourage further progress in challenging realistic agricultural conditions, we present the CropDeep species classification and detection dataset, consisting of 31,147 images with over 49,000 annotated instances from 31 different classes. In contrast to existing vision datasets, images were collected with different cameras and equipment in greenhouses, captured in a wide variety of situations.

AmI Garden: Building an IoT Infrastructure for Precision Agriculture

A unique implementation of precision agriculture in an experimental greenhouse in Crete, Greece, utilises software driven automations to boost greenhouse vegetable cultivation. The system is based on agricultural scenarios for each individual species that grows inside the greenhouse, consisting of the environmental parameters that each vegetable needs for an optimum life cycle, as well as machine learning techniques that allow the system to predict and provide information about possible hazards.

Xnor Unveils First Battery-free, Solar-powered AI Technology

Xnor pioneers new machine learning and computer architecture approach to deliver an efficient AI technology that operates independently of the cloud or a power source - opening new possibilities to scale AI across industries, societies and to even the most remote geographies.

Deploying Acoustic Detection Algorithms on Low-Cost, Open-Source Acoustic Sensors for Environmental Monitoring

This paper describes the development and deployment of three acoustic detection algorithms that reduce the power and storage requirements of acoustic monitoring on affordable, open-source hardware. The algorithms aim to detect bat echolocation, to search for evidence of an endangered cicada species, and also to collect evidence of poaching in a protected nature reserve.

Call for Applications: Google/SAP Circular Economy 2030 Contest for Social Entrepreneurs

Applicants are encouraged to submit proposals for revenue-generating ideas using data analytics and machine learning that work toward creating a circular economy in which consumption and emissions are minimized through recycling, reuse, refurbishing, and repair.
Applications are closed

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 2 months

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.
Applications are closed

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.

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.
Applications are closed

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.
Applications are closed

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.
Applications are closed

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.

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.
Applications are closed

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.

Precision Farming Startup Unlocks Hundreds of Terabytes of Ag Data to the Public

OneSoil launches an interactive digital map of ag data including more than 57 million fields across Europe and the United States, and data on 20 types of crops collected over the last three years

Aerial Mapping of Forests Affected by Pathogens Using UAVs, Hyperspectral Sensors, and Artificial Intelligence

The method integrates unmanned aerial vehicles (UAVs), hyperspectral image sensors, and data processing algorithms using machine learning.

Call for Applications: Google AI Residency Program 2019

By drawing on Google's state-of-the-art resources and research experience, we provide Residents in the program the skills that will enable them to tackle some of the world's greatest machine learning challenges.
Applications are closed

Machine Learning Applications on Agricultural Datasets for Smart Farm Enhancement

This work aims to show how to manage heterogeneous information and data coming from real datasets that collect physical, biological, and sensory values.

DARPA selects research teams to explore paradigm-changing approaches to Machine Learning and Artificial Intelligence

DARPA’s Lifelong Learning Machines (L2M) program, drawing inspiration from biological systems, seeks to develop fundamentally new ML approaches that allow systems to adapt continually to new circumstances without forgetting previous learning.
10 months ago

IoT, robotics and machine learning set to transform the supply chain, suggests Inmarsat research

Transport and logistics businesses are investing in Internet of Things (IoT)-based smart technologies to help them take advantage of the wealth of opportunities that the Fourth Industrial Revolution offers.
a year ago

New Developer Tools For Windows And Azure IoT Edge Services Enable Real-Time AI And Machine Learning For Drones

DJI and Microsoft have announced a strategic partnership to bring advanced AI and machine learning capabilities to DJI drones, helping businesses harness the power of commercial drone technology and edge cloud computing.
a year ago

New high-tech drones target Australian vineyards to help stop pests and diseases

Unmanned aerial vehicles (UAVs) equipped with machine learning and hyperspectral cameras could become a new weapon for the grape industry, as it fights a major battle with a tiny pest.
a year ago

Qualcomm Unveils the Vision Intelligence Platform Purpose-built for IoT Devices Powered by Latest Advances in Camera, AI and Computer Vision

Qualcomm Technologies today announced the Qualcomm® Vision Intelligence Platform, featuring the Company's first family of system-on-chips (SoCs) purpose-built for the Internet of Things (IoT) using advanced 10nm FinFET process technology.
a year ago

MIDIH Call for Proposals: E2 Topic - Integrating CPS / IOT factory automation technologies in Robotics experimental facilities

The E2 topic looks for CPS/IOT data-driven experiments for sensor data collection, data analytics, and machine learning for the implementation of factory automation technologies supported by robotics which must use MIDIH reference architectures and reference implementations and the MIDIH Data Infrastructures.
Applications are closed
a year ago

IBM Launches Watson Data Kits to Help Accelerate Enterprise AI Adoption

IBM announced the launch of IBM Watson Data Kits, which are designed to accelerate the development of AI applications to help support faster, more informed decision making for business leaders. Watson Data Kits will provide companies across industries with pre-enriched, machine readable, industry-specific data that can enable them to scale AI across their business.
a year ago

The Linux Foundation and Open Source Community Members Launch LF Deep Learning to Drive Open Source Growth In AI

The Linux Foundation today launched the LF Deep Learning Foundation, an umbrella organization that will support and sustain open source innovation in artificial intelligence, machine learning, and deep learning while striving to make these critical new technologies available to developers and data scientists everywhere.
a year ago