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 a month

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.
Application Deadline in 2 months

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.

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 months

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.
Application Deadline in a month

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.
7 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.
7 months 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.
7 months 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.
7 months 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.
8 months 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
8 months 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.
9 months 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.
9 months ago

How to Improve Fault Tolerance in Disaster Predictions: A Case Study about Flash Floods Using IoT, ML and Real Data

In this study, an attempt has been made to set out and describe the results achieved by SENDI (System for dEtecting and forecasting Natural Disasters based on IoT). SENDI is a fault-tolerant system based on IoT, ML and WSN for the detection and forecasting of natural disasters and the issuing of alerts. The system was modeled by means of ns-3 and data collected by a real-world WSN installed in the town of São Carlos - Brazil, which carries out the data collection from rivers in the region.
9 months ago

State-of-the-Art Mobile Intelligence: Enabling Robots to Move Like Humans by Estimating Mobility with Artificial Intelligence

Despite extensive research on this topic, robots still suffer from difficulties when moving in complex environments, especially in practical applications. Therefore, the ability to have enough intelligence while moving is a key issue for the success of robots.
9 months ago

New big data clustering algorithm with high accuracy and efficiency

The research team aimed to develop a ‘parallel’ k-medoids algorithm that guarantees not only high efficiency but also high accuracy. As in Figure 1, a parallel algorithm can be executed one piece at a time on many different machines and then combined together again at the end to get the correct result.
9 months ago

Funding and support opportunity: Services to support resilient & sustainable critical infrastructure

The service you intend to develop must be using on Earth a technology developed initially for Space like Satellite Earth Observation, Satellite Navigation, Satellite Communications, Spaceflight Technologies, Space Weather.
Applications are closed
9 months ago

Artificial Intelligence Drives Disruption in the Analytics Space, Finds Frost & Sullivan

The availability of ever-increasing amounts of structured and unstructured data, along with higher, cheaper and faster computing power, has been essential for the development of advanced analytics. The Internet of Things (IoT) has also boosted the development of the streaming analytics market through sensor-driven, real-time insights into consumer behavior.
9 months ago

Call for Applications: Intelligence X.0 for Startups

CODE_n is looking for groundbreaking business models and use cases based on pioneering technologies. This year’s CONTEST, “Intelligence X.0,” will spotlight the 50 most progressive startups and industry disruptors worldwide.
Applications are closed
9 months ago

European Space Agency's Call for Proposals: Organic Best Practices & Ecosystem Preservation

The European Space Agency’s Organic Best Practices & Ecosystem Preservation Kick-Start Activity offers support and funding to companies looking to develop space empowered services for the preservation of our environment.
Applications are closed
9 months ago

EU Call for Proposals: Dynamic countering of cyber-attacks

The prevention of and the protection against attacks that target modern ICT components, complex ICT infrastructures and emerging technologies (e.g. IoT) remains a difficult task.
Applications are closed
9 months ago

Call for Proposals: Tools and Technologies for Broad-Scale Disease Surveillance of Crop Plants in Low-Income Countries

The Bill & Melinda Gates Foundation is seeking applications for the 21st round of the Grand Challenges Exploration on the topic “Tools and Technologies for Broad-Scale Disease Surveillance of Crop Plants in Low-Income Countries”.
Applications are closed
9 months ago

Precision Security: Integrating Video Surveillance with Surrounding Environment Changes

This article presents a brain-inspired computing of attention value of surrounding environment changes (EC) with a processes-based cognition model by introducing a ratio value λ of EC-implications within considered periods.
9 months ago

Advanced Technologies, Digitisation, and Changing Consumer Demands are Driving the FinTech Sector

The use of advanced technologies - which include cloud, platforms, Internet of Things (IoT), artificial intelligence (AI), machine learning (ML), Blockchain, and application programming interfaces (APIs) - impact operations of companies and customer experience.
10 months ago

EU Call for Proposals: Transformative impact of disruptive technologies in public services

The use of disruptive technologies (such as block-chain, big data analytics, Internet of Things, virtual reality, augmented reality, artificial intelligence, algorithmic techniques, simulations and gamification) in public administrations, public goods, public governance, public engagement, public-private partnerships, public third sector partnerships and policy impact assessment is growing and can be very beneficial.
Applications are closed
10 months ago

SparkLabs Cultiv8 Launches Its 1st Batch with AgTech, FoodTech and Sustainability Startups from Across the Globe

SparkLabs Group, a global venture and accelerator group, recently launched SparkLabs Cultiv8, a new $10M food and agtech accelerator based in Australia. This has been a catalyst for agtech companies from the U.S., and other parts of the world, to come to Australia to enhance their businesses benefiting from Australia’s farming expertise, research institutions and access to Asian markets.
10 months ago

COLROBOT: Collaborative Robotics solutions enabling Robot to interact with workers for safer and better work places

ColRobot aims to integrate a number of sensing systems and machine learning based software into two fully functional collaborative robotic systems, namely a robotic arm and mobile manipulator.
a year ago

Machine Learning for Internet of Things Data Analysis: A Survey

This article assesses the different machine learning methods that deal with the challenges in IoT data by considering smart cities as the main use case. The key contribution of this study is presentation of a taxonomy of machine learning algorithms explaining how different techniques are applied to the data in order to extract higher level information.
a year ago

Orange Healthcare and Sanoïa endorse the use of Machine Learning to monitor Chronic Inflammatory Rheumatism

Orange Healthcare, Sanoïa and the Pitié-Salpêtrière hospital in Paris demonstrate that flare-ups in inflammatory rheumatism (rheumatoid arthritis and axial spondyloarthritis) can be detected using an activity tracker combined with machine learning technology.
a year ago

Shybo, An Open-source Low-anthropomorphic Robot for Children

This article presents Shybo: a novel low-anthropomorphic robot for children. The robot, resulted from the combination of open-source hardware and software, is able to perceive sounds and to react through two non-verbal behaviors: hat’s movement and lighting. By taking advantage of an open-source machine-learning software, the robot can be easily trained by children.
a year ago

MintHealth, a Global Decentralized Health Platform based on Blockchain and Machine Learning Technologies

Seasoned healthcare executives and physician entrepreneurs announce the launch of MintHealth, a portable, secure, and self-sovereign personal health record (PHR) built using blockchain technology. This global decentralized health platform will align all healthcare stakeholders around the shared goal of empowering patients to minimize their risk for developing and suffering complications of chronic conditions.
a year ago

Blockchain, Machine Learning, Robotics, Artificial Intelligence and Wireless Technologies Will Reshape Digital Business in 2018

Blockchain, together with artificial intelligence, machine learning, robotics, and virtual and augmented reality, have the potential to deliver disruptive outcomes and reshape digital business in 2018. And companies that have not started the digital investment cycle are at high risk of being disrupted.
a year ago

Application of Statistical Machine Learning Algorithms in Precision Agriculture

In this paper, we describe and experimentally compare the accuracy of OLS and statistical machine learning models for estimating crop water use (or evapotranspiration).
a year ago

Improvements to Machine-Intelligence Will Improve Accuracy and Speed Up Police Investigations

Police in the UK and Belgium have started testing a semi-autonomous criminal intelligence analysis system designed to speed up investigation, improve precision and even pre-empt crimes by detecting connections that people often miss.
a year ago