Chillers Market Development Trend and Key Manufacturers Analysis Outlook to 2024 – Smardt Chiller Group Broad Group, Dunham Bush, Gea Group, Midea Group, Thermax Limited, Advantage Engineering and Others

Chillers Market provides a detail overview of latest technologies and in-depth analysis that reflect top vendor’s portfolios and technology; examines the strategic planning, challenges of leading brands and market opportunities for newcomers.
16 hours ago

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.

Curling Irons Industry 2019 Market Size, Growth, Share, Trends, Global Statistics and Forecast Analysis 2025

The Curling Irons Market 2019 Global Industry report consists of all the basic information regarding the Curling Irons Market. This report presents analysis of market trends, industry growth drivers, share, analysis, size, trends, and many other aspects. The global Curling Irons report is an essential reserve of data, primarily for the industry administrators.
5 days ago

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.

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.

Global Hydraulic Hose Market 2019 - Growth Ingredients And Mighty Industry Improvement Till 2024

Global Hydraulic Hose Market report provides Various Discernments of Impressive Growth in Industry.

Global Floating Dock Market 2019 : Production Value, Competitive Approach And Establishment 2024

Global Floating Dock Market offers all-embracing knowledge on Latest Industry Trends, Market Status, Geographic Analysis and Financial Outlet.

Global Centrifugal Engine-driven Pumps Market 2019- Industry Landscape, Elevation, Fragment and Forecast 2024

Global Centrifugal Engine-driven Pumps Market offers all-embracing knowledge on Latest Industry Trends, Market Status, Geographic Analysis and Financial Outlet.

Global Carbon Fiber Market In Research Meridian according To Specialist Awareness 2019-2024

Global Carbon Fiber Market offers all-embracing knowledge on Latest Industry Trends, Market Status, Geographic Analysis and Financial Outlet.

Global Calcium Formate Market 2019 : Vendors Course of Action, Strategy, Probability During the Period of Forecast

Global Calcium Formate Market offers all-embracing knowledge on Latest Industry Trends, Market Status, Geographic Analysis, and Financial Outlet.

High Pressure Pump Industry 2019 Global Market Trends, Size, Share, Demand, Growth, Supply, Manufacturers Analysis and 2025 Forecast

The report is beneficial for strategists and industry players to plan their future business strategies. The High Pressure Pump Market Research Report primarily based upon factors on which the companies complete in the market and this factor which is useful and valuable to the business.

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 16 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.

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 5 days

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.
10 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.
10 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.
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

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.
a year 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.
a year 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.
a year 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
a year 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.
a year 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
a year 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
a year 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
a year 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
a year 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.
a year 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.
a year 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
a year 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.
a year 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

Deere to acquire Blue River Technology, Agtech specialized in Computer Vision and Machine Learning Technology for Precision Agriculture

Blue River has designed and integrated computer vision and machine learning technology that will enable growers to reduce the use of herbicides by spraying only where weeds are present, optimizing the use of inputs in farming, a key objective of precision agriculture.
2 years ago

Securing Metering Infrastructure of Smart Grid: A Machine Learning and Localization Based Key Management Approach

In this paper, we propose a localization-based key management system for meter data encryption. Data are encrypted by the key associated with the coordinate of the meter and a random key index. The encryption keys are managed and distributed by a trusted third party (TTP).
2 years ago

Unleashing the power of Deep Learning for Smarter Driverless Cars

The “deep learning” process used to teach the car to recognize and react to pedestrians involves repeatedly showing the model images and telling it where pedestrians are located within those images. Over time, the model builds an internal representation, or “learning”, of what pedestrians look like and how they behave. The more images are shown to the system, the better it analyzes images it has never seen before.
2 years ago

Machine Learning in Manufacturing: Advantages, Challenges, and Applications

This paper presented an overview of available machine learning techniques and structuring this rather complicated area. A special focus is laid on the potential benefit, and examples of successful applications in a manufacturing environment.
2 years ago

Reinforcement Machine Learning for Predictive Analytics in Smart Cities

In this paper, we define the concept of a Query Controller ( QC ) that receives queries for analytics and assigns each of them to a processor placed in front of each data partition. We discuss an intelligent process for query assignments that adopts Machine Learning (ML). We adopt two learning schemes, i.e., Reinforcement Learning (RL) and clustering.
2 years ago

Leading AI Cyber Security Firm, Darktrace, Raises $75 Million in Funding to Meet Company’s Growing Demand

Darktrace is recognized as the de facto leader in disruptive AI technology for cyber security, tackling the challenge of defending against ever more sophisticated cyber-attacks. Powered by machine learning and AI algorithms, Darktrace’s Enterprise Immune System technology is capable of detecting and responding to cyber-threats that evade legacy security controls, containing incidents before damage is done.
2 years ago

Artificial Intelligence, Big Data for Governance, Business-Driven Applications, Blockchain and Machine Learning identified in MapR' Big Data Predictions for 2017

Platforms that can process the three V’s with modern and traditional processing models that scale horizontally providing 10-20X cost efficiency over traditional platforms. Google has documented how simple algorithms executed frequently against large datasets yield better results than other approaches using smaller sets.
2 years ago

Find & Pay uses Big Data, Predictive Analytics and Machine Learning to create Accurate Parking Probability Map

Find & Pay, uses big data, predictive analytics and machine learning to reduce the time it takes to find parking in congested cities by up to 50 per cent, reducing stress for motorists and the congestion and emissions associated with city parking today.
2 years ago

PreFlexMS: Predictable Flexible Molten Salts Solar Power Plants

Automatic plant performance characterization by machine learning will be implemented to ensure a real optimum is achieved. For successful market introduction, a down-scale pilot will be realized. Here, integrated operation of once-through steam generator, weather forecast and dispatch optimization will be demonstrated. CSP will undergo large growth in developing markets, where grid constraints and market liberalization will play a role.
2 years ago

Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning

We present approaches to identify fishing activity from S-AIS data for three dominant fishing gear types: trawl, longline and purse seine. Using a large dataset containing worldwide fishing vessel tracks from 2011–2015, we developed three methods to detect and map fishing activities: for trawlers we produced a Hidden Markov Model (HMM) using vessel speed as observation variable. For longliners we have designed a Data Mining (DM) approach using an algorithm inspired from studies on animal movement.
2 years ago

Tour de France introduces Machine Learning technologies to offer cycling fans across the globe an unprecedented experience

This year, Dimension Data’s data analytics platform, which was developed in partnership with A.S.O., incorporates machine learning and complex algorithms that combine live and historical race data to provide even deeper levels of insight as the race unfolds. Fans will also benefit from rider profiles to understand more about environments and circumstances in which riders perform best.
2 years ago

Scotiabank supports NextAI in latest move to build artificial intelligence ecosystem in Canada

As part of its growing leadership in the digital economy, Scotiabank announced a three-year sponsorship of NextAI to support Canadian youth and entrepreneurship in the growing field of artificial intelligence (AI). The sponsorship is one of the many strategic investments the organization is making to drive a vibrant, globally competitive AI ecosystem in Canada.
2 years ago

Web Application Security Testing Market Can Leverage Machine Learning to Catalyse Growth Opportunities

Dedicated web application testing is fast becoming essential to any organisation’s cyber security approach. The rapid proliferation of connected devices and the direct links among applications, http protocol, and web services create numerous points of vulnerability for hackers to exploit. Machine learning technology offers an innovative way to prevent these attacks and optimise web application security testing.
2 years ago

Intel to collaborate on Darpa's platform that will leverage Machine Learning and Artificial Intelligence techniques

Intel has been selected by DARPA, a U.S. Department of Defense agency, to collaborate on the development of a powerful new data-handling and computing platform that will leverage machine learning and other artificial intelligence (AI) techniques.
2 years ago

Insurtech Platform Revenues to Approach 235 billion USD by 2021, Driven by Machine Learning & Blockchain Adoption

According to the research, investments in machine learning have enabled providers of car insurance to more accurately reflect car usage and driving behaviour in their quotes. As machine learning improves insurers' ability to stratify drivers into risk groups, Juniper believes that the technology will be used more widely in the insurance market to deliver quotes for contents insurance precisely reflecting the value of applicants' possessions.
2 years ago

Large Scale Implementations for Twitter Sentiment Classification

In this work, we develop two systems: the first in the MapReduce and the second in the Apache Spark framework for programming with Big Data. The algorithm exploits all hashtags and emoticons inside a tweet, as sentiment labels, and proceeds to a classification method of diverse sentiment types in a parallel and distributed manner. Moreover, the sentiment analysis tool is based on Machine Learning methodologies alongside Natural Language Processing techniques and utilizes Apache Spark’s Machine learning library, MLlib.
2 years ago

UK Tech Start up Pimloc Uses Machine Learning and Artificial Intelligence to Develop Image Protection and Security Platform

Pimloc, a new tech start up that uses machine learning and artificial intelligence, today announced it is developing a suite of image and video management solutions for businesses and private users who want their private images to stay private.
2 years ago

Machine Learning Algorithms for the Forecasting of Wastewater Quality Indicators

The aim of this study is to provide an indirect methodology for the estimation of the main wastewater quality indicators, based on some characteristics of the drainage basin. The catchment is seen as a black box: the physical processes of accumulation, washing, and transport of pollutants are not mathematically described.
2 years ago

Heek: A Robot that creates Your Website in just One Chat

Heek ’s chatbot, inspired by innovative technologies such as machine learning, aims to progress in intelligence as it converses with multiple users and gets new insights. By just responding to a few questions in a few minutes, a user can see their website come to life, thanks to Heek’s artificial intelligence motor which personalizes the website’s content in real time according to what the user is looking for.
2 years ago

Lexumo Analytics Platform Alerts Customers to Vulnerability Discovered by Akamai in 2 Million IoT Devices

Lexumo uses graph analytics and machine learning developed for DARPA to precisely identify public vulnerabilities such as Heartbleed, Shellshock (Bashdoor), and SSHowDowN in IoT code. The platform also provides detailed instructions for remediating vulnerabilities in order to avoid their exploitation by cyberattackers. The company was recently recognized as an IoT Company to Watch and a Machine Learning Startup to Watch.
2 years ago

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