AI News, Bosch initiates a Center for Data Science and Artificial Intelligence at ... artificial intelligence

ENTREPRE NEURSHIP AND EMPOWER MENT

As Executive Director, he shapes the Institute’s yearly agenda of dialogue with leaders in business, politics, and science.

The students are trained in theory sessions as well as on site, acquiring all skills to work as electricians.

CVPR2019

The candidate will work with passionate computer vision and robotics experts tackling real-world challenging problems daily, such as real-time 3D sensing, SLAM, industrial object recognition and pose pose estimation, camera calibration, etc.

Work with researchers and design, develop, and implement innovative algorithms and solutions for new challenges in 3D computer vision, deep learning, and computational photography/imaging Build prototypes and demos on mobile platforms Jointly optimize and benchmark the algorithms according to product requirements Publish your original research and present the work at conferences and events.

Implement, optimize, and benchmark latest computer vision and machine learning algorithms according to computation, memory, power constraints.

Build tools that will increase the productivity of teams Initiate and implement novel product ideas by actively integrating research algorithms with customers'

Stay up to date with the latest research and innovations in deep learning, computer vision, and computational photography Senior levels will lead multiple research engineering projects and manage the engineering team to meet the delivery schedule.

Design, develop, and implement innovative algorithms and solutions for new challenges in 3D computer vision, deep learning, and computational photography/imaging Stay up to date with latest research frontier in 3D deep learning, computer vision, and computational photography/imaging Build prototypes and demos on mobile platforms Transfer your new technologies to product teams by jointly optimizing the algorithms according to product requirements Opportunity to publish your original research and present the work at conferences and events Senior levels will identify new research directions and lead multiple research projects.

This position is responsible for researching and developing image processing, machine learning, and computer vision algorithms for new Sony products.

Nokia Bell Labs is a global research community which has been changing the world of information technology for more than a century through the release of breakthrough inventions such as modern information theory, the transistor, the laser and the UNIX operating system.

We are searching for an Early Stage Researcher (ESR) willing to develop a full PhD in an industrial environment within this project, focused on the real time immersive video (360/VR/AR) on top of dense 5G networks.

The work will address one or several steps of a multimedia communication process within this scenario: multi-camera capture, real-time video analysis (machine learning) on the network edge, optimization of video transmission under low-latency networks, rendering of complex XR environments, analysis of QoE.

Other relevant technology areas which are considered positive for this position are: mobile network architecture, distributed media processing, edge computing and virtualization (cloud computing).

At the time of appointment, applicants may not have resided or carried out their main activity (work, studies) in Spain for more than 12 months in the 3 years immediately before their recruitment.

Early-Stage Researchers (ESRs) must, at the date of recruitment by the beneficiary, be in the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree.

The 3D Vision group is currently inviting applications from scientists who are excited about contributing to research in areas related to 3D vision and machine learning.

In detail, we are looking for motivated researchers to investigate how traditional 3D vision methods can be improved using modern machine learning techniques.

Related research fields include camera pose estimation, VSLAM, VIO, visual localization, 3D mapping, 3D scene understanding and 3D reconstruction.

degree and 5+ years of industry experience experienced in localization, mapping, computer vision, visual odometry/vSLAM, CNNs, autonomy perception.

This exciting research opportunity has arisen directly from the ground-breaking research undertaken by Prof Dame Sue Black in relation to the forensic identification of individuals from images of their anatomy that are captured primarily within IIOC (indecent images of children).

To assess the evidential robustness of hand identification in the court room requires that the degree of ‘uniqueness’ in the human hand be assessed through large volume image analysis.

The research opens up the opportunity to develop new and exciting biometric capabilities that have a wide range of real-world application, from security access through to border control whilst assisting the investigation of serious and organised crime on a global level.

H-unique is a five year, €2.5M programme of research and will be the first multimodal automated interrogation of visible hand anatomy, through analysis and interpretation of human variation.

We will investigate inherent and acquired variation in search of uniqueness, as the hand retains and displays a multiplicity of anatomical variants formed by different aetiologies (genetics, development, environment, accident etc).

Hard biometrics, such as fingerprints, are well understood and some soft biometrics are gaining traction within both biometric and forensic domains (e.g.

We will pioneer the development of new methods that will release the full extent of variation locked within the visible anatomy of the human hand and reconstruct its discriminatory profile as a retro-engineered multimodal biometric.

A significant step change is required in the science to both reliably and repeatably extract and compare anatomical information from large numbers of images especially when the hand is not in a standard position or when either the resolution or lighting in the image is not ideal.

Through citizen engagement with science, this research will collect images from over 5,000 participants, creating an active, open source, ground-truth dataset.

It will examine and address the effects of variable image conditions on data extraction and will design algorithms that permit auto-pattern searching across large numbers of stored images of variable quality.

This will provide a major novel breakthrough in the study of anatomical variation, with wide ranging, interdisciplinary and transdisciplinary impact.

You must be able to demonstrate a research background in the area of image processing, computer vision, and/or deep learning.

We will also value highly your ability to learn rapidly and to adapt to new technologies beyond your current skills and expertise.

We are excited to announce the postdoc job opening for a new project on developing deep learning models to predict and compensate biomaterial inconsistency in 2D printing.

We are seeking a postdoctoral fellow to work on a research project related to deep learning models applied to biomaterial deformation predictions.

in San Diego is seeking an experienced engineer to join the team which is responsible for developing the software for next generation mobile and computer vision systems.

The ideal candidate should have passion for writing quality code and will be working on the architecture and implementation of Computer Vision/Deep Learning algorithms for embedded platforms.

is looking for passionate and experienced systems engineers with in-depth knowledge on image/video signal processing and computer vision algorithms.

Research fundamental theoretical aspects of deep learning as well as develop novel techniques to advance the theory and practice of deep learning.

Apply the developed theory and algorithms to advance the performance of multimedia applications, such as computer vision, augmented reality, natural language processing, or speech processing.

Conduct research in deep machine learning techniques and find solutions for computer vision, image and video processing.

followed by the relevant role: (1) A comprehensive CV, (2) Link to representative papers/reports that demonstrate your skills, (3) Include a link to Github profile or send link to sample code bases (in Dropbox/Google drive) developed primarily by you.

Access to huge amounts of data across the country that can help you fulfill and fast track your research into real-world scenarios.

We strive to become China’s leading smart mobility company by creating world-class smart vehicles through an integrated value chain that will benefit the country, the consumers, the company and the individual.

WeRide.ai recently closed Series A funding round led by Alliance Ventures, the strategic venture capital arm of Renault-Nissan-Mitsubishi, and we're looking for a Senior Software Engineer to join our Onboard Infrastructure team and help building the next generation of the autonomous driving platform.

·Previous experience in developing automotive vision a plus (lane tracking, vehicle detection and tracking, traffic light/sign detection, ground plane estimation)

·Experience with existing ADAS technologies such as adaptive cruise control, automatic emergency braking, and lane keeping

·Understanding of ADAS sensors such as radar, camera, ultrasonic, and lidar, including the measurement and data-reduction, target identification and environmental synthesis, and sensor fusion

JD’s X Division (JD-X) is responsible for the development of automated fulfillment capabilities including warehouse automation technologies such as warehouse transportation and manipulation robots, autonomous ground delivery vehicles and autonomous aerial delivery vehicles (i.e.

The Visual Artificial Intelligence Laboratory at Oxford Brookes University, led by Professor Fabio Cuzzolin, is seeking a postdoctoral researcher in deep learning for computer vision in surgical robotics, to be appointed as soon as possible, on a contract ending Dec 31 2020.

The Visual Artificial Intelligence Laboratory (http://cms.brookes.ac.uk/staff/FabioCuzzolin/) has established itself as one of the top research groups in the world in deep learning for action detection, conducting work at the current boundaries of human action recognition.

Our algorithms hold the best detection accuracies to date, and the team recently designed the first system so far able to localise multiple actions on the image plane in (better than) real time (52fps) on a single GPU.

The team classified 2nd in both the CVPR 2016 ActivityNet detection challenge (http://activity-net.org/challenges/2016/program.html#leaderboard) and the CVPR 2017 Charades challenge (http://vuchallenge.org/charades.html), in collaboration with Disney Research, and behind Deepmind’s team Kinetics.

At IIAI, scientists and engineers work together to solve complex problems and we seek a team player who has prior experience in working interdependently.

RESEARCH INTERN applicants are expected to be matriculated PhD students who have taken courses in CV/ML/NLP, and have strong fundamentals in related areas such as probability theory and linear algebra.

Our employees and interns benefit from an international, collegial work environment and abundance of availability of experts (>40 scientists and increasing) in all areas of computer vision.

ABU DHABI: Capital of UAE, Abu Dhabi is a family-friendly city that offers the right balance between megacity-convenience in a small-town liberal setting with easy access to two major international airports (Abu Dhabi and Dubai) offering non-stop flights to all parts of the world.

With several pristine beaches, world-class restaurants, a mangrove national park within the city and mountains a short distance away, Abu Dhabi offers superb opportunities for work and play.

A willingness to gain stronger software engineering knowledge and deep expertise in C++ and/or python is required Strong leadership skills suitable for recruiting, leading and managing a team of engineers to solve a challenging problem and build a critical component of a real-time system Strong theoretical and applied knowledge of relevant subsets of detection algorithms Strong desire for candidates with hands on experience that have deployed real products or platforms into the real world and intimately understand the challenges of working with complex systems Strong presentation and communication skills are desired Please check website for full job description.

We are looking for hands on candidates who can set the vision for, grow, and lead a strong technical team with a mix of vision, probabilistic filtering and LiDAR algorithm experience and strong software experience.

We are looking for a team lead who will be deep in code, and is technically strong in software and strong in tracking algorithms -- segmentation, clustering, data association, multi-extended object tracking and filtering, MHT or other registration algorithms.

Responsible for the component of the self driving vehicle keeping track in space and time of objects around the car and estimating their velocities

Leading the team to advance the algorithmic performance through pragmatic and rigorous A vs B evaluations using a mix of state of the art or “classical” techniques

Ensure that the algorithms are integrated within our onboard infrastructure and hardware, are robustly implemented and run in real time

Coordinate with data collection to select and label relevant data to improve our tracking algorithms and develop metrics by which the tracking system is evaluated

interpretable machine learning, learning from limited training data, cell segmentation and tracking, and integrated analysis of imaging and omics data.

JD’s X Division (JD-X) is responsible for the development of automated fulfillment capabilities including warehouse automation technologies such as warehouse transportation and manipulation robots, autonomous ground delivery vehicles and autonomous aerial delivery vehicles (i.e.

MS/PhD degree and 5+ years of industry experience Experienced in localization, mapping, computer vision, visual geometry, LIDAR perception, SLAM, or relevant field.

Description: Intuitive Surgical is the manufacturer of the da Vinci surgical robot, a minimally invasive surgical system used in over 5 million procedures worldwide.

We look for hands-on candidates who are excited about building state-of-the-art real-time computer vision systems to solve a wide range of problems in robotic surgery.

We are looking for full time computer vision software engineer with strong c++ programming skills to deploy state of the art computer vision and machine learning techniques that running on the edge in real-time.

+2 years experience in Machine learning and deep learning development knowledge for mobile phone application that runs in real time such as CoreML for iOS.

As we grow in scope and ambition in 2019, we invite highly motivated, world class computer vision researchers to apply to join us.

Open positions: junior/senior computer vision researcher/engineer ( https://lnkd.in/gq_4aCR ) junior/senior machine learning researcher/engineer ( https://lnkd.in/gx_J8-u ) Senior Computer Vision Researcher (Face recognition) ( https://lnkd.in/gAFpkv6 ) Applied A.I.

As we grow in scope and ambition in 2019, we invite highly motivated, world class computer vision researchers to apply to join us.

Open positions: junior/senior computer vision researcher/engineer ( https://lnkd.in/gq_4aCR ) junior/senior machine learning researcher/engineer ( https://lnkd.in/gx_J8-u ) Senior Computer Vision Researcher (Face recognition) ( https://lnkd.in/gAFpkv6 ) Applied A.I.

From the computer mouse to robotic surgery, cancer treatments, Siri, and more, SRI's 70 years of innovation have created new industries, billions of dollars in market value, and lasting benefits to society.

If you dream of making robots see and navigate, search the Web’s pictures and videos, train and educate people with augmented reality, understand “who, what, where and how” through Vision, and have the skills and aptitude to work on challenging problems, SRI may be the place for you.

The position will be expected to seek and champion new business opportunities based around the technical capabilities of the group, work with government and commercial clients to develop solutions to their requirements leveraging real-time vision capabilities, and work with technical staff and technology to develop new state of the art technologies that can be exploited to bring in new business opportunities.

In this 3-6 month paid PhD internship you will have the opportunity to work on research in a startup environment, tackling problems related to city-scale localisation.

Therefore, applying side information such as expert knowledge about the dependencies between different features of the dynamic can greatly reduce the computational expenses and improve the accuracy.

The newly founded Bosch Center for Artificial Intelligence (BCAI) offers the perfect environment for PhD students to apply modern mathematical tools to machine learning problems and thus, going the next important step in making the human dream of autonomous driving a reality

The Deep Learning group at the Bosch Center for Artificial Intelligence (BCAI) provides the opportunity for PhD students in the field of machine learning to perform an industry sabbatical for 3 - 12 months.

Bosch, as one of the worldwide leading companies in the field of autonomous driving provides a unique experience to see where state-of-the-art AI techniques can be applied for the mobility of the future.

At BCAI we build the foundation to generate real-world impact through cutting edge deep learning, with a strong focus on making neural networks for perception more safe, robust, and explainable.

We are looking for a research intern (for spring/summer 2019) to explore a project in the areas of neural network model compression, model pruning, efficient architecture design/search, and applications to computer vision tasks such as classification and segmentation.

As a research intern at Adobe, you will have the opportunity to develop new ideas suitable for academic publication, with the added potential of contributing to Adobe’s product line, and consequently reaching millions of computer users worldwide.

The ideal candidates should be in a MS/PhD program in a university focusing on deep learning and computer vision, and have hands-on experience on training neural network models for vision tasks such as classification and semantic segmentation, and have interest in developing efficient model architectures.

We are looking for full time computer vision software engineer with experience to develop iOS/Android applications that deploys state of the art computer vision and machine learning techniques that running on the edge in real-time.

+2 years experience in Computer vision and image processing libraries for mobile application knowledge such as openCV for iOS and GPU-Image, OpenGl for iOS libraries besides Objective-C and/or Swift for iOS;

+2 years experience in Machine learning and deep learning development knowledge for mobile phone application that runs in real time such as CoreML for iOS, Tensorflow Lite, MobileNet V2,

Nice to have: +1 year experience in Computer vision and machine learning algorithm development for web to run on the browser such as OpenCV.js Convnet.js and webDNN

Interns will be able to explore their own ideas to address challenging real-world computer vision problems, and will be encouraged to publish the results of their work in academic papers submitted to premier conferences.

In addition, interns can also focus on contributing high-quality software to the KWIVER platform (http://www.kwiver.org/), an exciting, open source, and versatile platform for computer vision research and development.

Project Areas: Algorithms: Deep learning and other computer vision methods for object detection, change detection, scene classification, event/activity recognition, 3D reconstruction from aerial imagery, video/image understanding, video/image search, and indexing, etc - Data: Images and videos from ground, handheld, aerial, or satellite cameras - Infrastructure: Opportunity to work on deep learning libraries like Caffe, PyTorch or Tensorflow;

Research experience in one or more of the following: computer vision, image processing, video analysis, machine learning, deep learning, and related areas.

Hands-on experience in researching the use of deep learning for solving problems in computer vision such as face recognition, object detection/localization, scene understanding.

There are also opportunities to collaborate on broader computer vision topics including content-based indexing and retrieval, object detection and tracking, video event and activity recognition, functional object recognition, social media understanding, video compression, and super resolution.

By joining our team, you will be contributing your computer vision or machine learning expertise to develop robust solutions for real-world problems, in the areas of 3D reconstruction, object-based change detection, feature detection, and motion pattern learning and anomaly detection among others.

By joining our team, you will be contributing your computer vision or machine learning expertise to develop robust solutions for real-world problems, in the areas of 3D reconstruction, object-based change detection, feature detection, and motion pattern learning and anomaly detection among others.

Kitware’s employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations.

Researchers and developers also enjoy benefits commonly associated with a position in academia, such as support and encouragement for the publication of novel work.

followed by the relevant role: (1) A comprehensive CV, (2) Link to representative papers/reports that demonstrate your skills, (3) Include a link to Github profile or send link to sample code bases (in Dropbox/Google drive) developed primarily by you.

Daedalean is a Zürich-based startup that combines computer vision, deep learning, and robotics to build a certified autopilot that outperforms human pilots.

We are looking for computer vision engineers that can develop AI algorithms to completely and reliably replace the human pilot, only bound by the laws of nature, rules of the air and constraint of budget.

The College of Science and Engineering (CSE) at HBKU aims to be a world-class multidisciplinary college with significant positive impact on Qatar, the region, and globally, in the fields of science, engineering, and technology.

The college also aims to serve societal needs, with a focus on an integrated multi-disciplinary curriculum and multi-disciplinary research in science and engineering.

Successful candidates will conduct teaching, research and service to make HBKU a world-class research university and collaborate with faculty members and students to create a vibrant university community that will positively impact and contribute to the development of Qatar and the region by advancing knowledge in their field and developing human capacity through their teaching.

From the computer mouse to robotic surgery, cancer treatments, Siri, and more, SRI's 70 years of innovation have created new industries, billions of dollars in market value, and lasting benefits to society.

If you dream of making robots see and navigate, search the Web’s pictures and videos, train and educate people with augmented reality, understand “who, what, where and how” through Vision, and have the skills and aptitude to work on challenging problems, SRI may be the place for you.

We currently have full time and intern opportunities available for different areas in Computer Vision, Robotics, AI and Machine Learning including: computational sensing, 2D/3D reasoning, vision analytics, explainable AI, life-long learning and human behavior modeling.

We are bringing together DuPont Crop Protection, DuPont Pioneer and Dow AgroSciences to create a market-shaping, standalone agriculture company with leading positions in seed technologies, crop protection and digital agriculture.

Corteva Agriscience™, Agricultural Division of DowDuPont™, is seeking students for full-time summer internship within our global Data Science and Informatics group working on image analytics for digital agriculture.

This position will be primarily geared towards application of machine learning/deep learning-based methods for image segmentation, object detection and classification of images from labs and field for accurate plant phenotyping.

There is an immediate opening for 2 intern candidates who will play a role in configuring deep learning environment, agricultural data-preparation, data-visualization &

The intern candidate should demonstrate projects in the field of computer vision, pattern recognition, and/or machine learning with strong programming skills in C/C++ and Python.

Students who have strong understanding of generative modeling, image embeddings, bayesian analysis, deep learning on graphs, active learning etc are particularly encouraged to apply.

1) CV 2) Any prior papers or project reports that outline your experience (if available) 3) If you have a GitHub profile, please include a link or upload code samples, that best demonstrate your coding abilities, to dropbox or google drive and include a link.

Interns will benefit from an international, collegial work environment and abundance of availability of experts (>40 scientists and increasing) in pretty much all areas of computer vision.

Niantic's Research and Development team is seeking post-MSc or PhD-students, who are passionate about inventing new algorithms, to join us for a 3-month research internship to work on computer vision and learning, alongside our growing team of researchers in central London.

The projects you will work on fit under the broad umbrella of artificial intelligence for augmented reality, including deep or shallow machine learning models, tracking, 3D reconstruction, localization, and graphics for mixed reality.

You will dig deep into a fun computer vision and machine learning topic, becoming the expert and breaking new ground.

You will discover ways to automatically understand imagery and/or telemetry from the real world, to track, reconstruct, localize, synthesize, or recognize more accurately or more efficiently.

You will work alongside our other researchers, accepting help and aiding others, to make discoveries that will eventually help the Niantic Real World Platform, as it gets deployed for Niantic and outside developers alike.

Completed the requirements for an MSc and/or are enrolled in a PhD program, in computer science or a related field, with focus on computer vision, robotics, AR, or machine learning.

Our mission emphasizes seeking and hiring diverse voices, including those who are traditionally underrepresented in the technology industry, and we consider this to be one of the most important values we hold close.

CVTE Research is the fundamental and applied research department of CVTE, aiming at supporting the company’s technology novelty and development.******* At CVTE Research, the algorithm is usually combined with the scene, and achievements can often be used in the actual product to directly see the industrial value brought by your results, e.g.

The FaST Division portfolio of metrology products includes hardware and software solutions for optical film thickness, optical critical dimension (CD), composition, and resistivity measurement systems.

The FaST division is committed to support our customers to achieve performance entitlement of our solution and we effectively partner with our customers from their early research and development phase to the high volume in-line manufacturing implementation specific for their process needs.

The position requires a proven innovative track record in the related fields of algorithm development, statistical data analysis and signal processing, image analysis and machine learning.

The candidate should have a background in engineering/math/physics and be comfortable and conversant in a range of disciplines from optics, information and noise analysis, solving optimization problems (forward and inverse).

The Algorithms Scientist will produce mathematical formulations, develop modeling tools, and perform data analysis and capability predictions on a variety of metrology technologies.

The candidate should demonstrate ability to develop complex data analysis algorithms, software codes that can be used by others, understanding of experimental data analysis, and ability to guide others.

The research topics include but not limited to deep generative modeling, unsupervised representation learning, 3D and spatial-temporal data modeling and analysis, and other supervised visual recognition problems.

We pair digitized pathology slides with clinical notes and our machine learning algorithms to allow pathologists to diagnose cancer faster and more accurately.

In this role you’ll conduct publishable deep learning research using some of the largest digital pathology datasets in the world.

You will have the opportunities to deliver advanced AI technologies to different stage of our retail operation process, so as to empower the next generation retail business operation and shopping experiences.

UC is seeking a strong C++ R&D Engineer to support research and product development in multiple areas, including computer vision, machine learning, controls and estimation applications for the air and maritime domains.

Proficiency in other programming languages: Python, Matlab Experience with libraries such as Boost, Eigen, HDF5, OpenCL Experience designing and developing real-time software architectures Experience with embedded platforms Hands-on experience with EO, IR, INS, IMU, GPS sensors

We address a wide variety of computer vision and perception problems and have a strong publication record in leading journals and conferences.

HMI 2019: New infrastructure puts TSN to the test and facilitates AI applications

The SmartFactory-KL partner consortium has given the infrastructure of the Industrie 4.0 production plant a new, star shaped, scalable installation concept.

A good example of the benefit of locating edge computing in the infrastructure box is the display of usage data for the individual stations shown directly on the box.

This simplifies decentralized condition monitoring and enables anomaly detection in the production station and analysis using the power data, which then facilitates the initiation of the required maintenance steps.

This means multiple sensors and actuators can send and receive data in real time while ensuring that existing plants can be flexibly upgraded.

The SmartFactory-KL technology initiative was established as a non-profit organization in 2005, bringing industry and research partners together in a network to jointly implement Industrie 4.0 projects for the factories of the future.

The technology initiative has already developed products and solutions as well as universal standards in the areas of Industrie 4.0 with the active participation of its members.

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