Machine Learning From Scratch
An extensive list of fundamental machine learning models and algorithms from scratch in vanilla Python.
TechDispatch #1/2020: Contact Tracing with Mobile Applications
In public health, contact tracing is the process to identify individuals who have been in contact with infected persons. Proximity tracing with smartphone applications and sensors could support contact tracing. It involves processing of sensitive personal data.
A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy
This paper contributes the first human-centered observational study of a deep learning system deployed directly in clinical care with patients. Through field observations and interviews at eleven clinics across Thailand, we explored the expectations and realities that nurses encounter in bringing a deep learning model…
A socio-technical framework for digital contact tracing
In their efforts to tackle the COVID-19 crisis, decision makers are considering the development and use of smartphone applications for contact tracing. Even though these applications differ in technology and methods, there is an increasing concern about their implications for privacy and human rights. Here…
#Standards4Quantum: Making Quantum Technology Ready for Industry
The Joint Research Center (JRC) in cooperation with the European Committee for Standardization (CEN) and the European Committee for Electrotechnical Standardization (CENELEC), European Commission’s Directorate General Communications Networks, Content and Technology (DG CNECT), and the German Institute of Standardisation (DIN), organised in Brussels on 28-29…
Tools on Cybercrime & Electronic Evidence Empowering you
Welcome to the Search portal of the Cybercrime
The European Data Protection Supervisor, 2019 Annual Report a year of transition
With new legislation on data protection in the EU now in place, our greatest challenge moving into 2020 is to ensure that this legislation produces the promised results. This includes ensuring that new rules on ePrivacy remain firmly on the EU agenda. Awareness of the…
Google Engineering Practices Documentation
Google has many generalized engineering practices that cover all languages and all projects. These documents represent their collective experience of various best practices that they have developed over time. It is possible that open source projects or other organizations would benefit from this knowledge.
Artificial Intelligence and Machine Learning in Software as a Medical Device: discussion Paper and Request for Feedback
Artificial intelligence and machine learning technologies have the potential to transform health care by deriving new and important insights from the vast amount of data generated during the delivery of health care every day. Medical device manufacturers are using these technologies to innovate their products…
Fast-Track Program for COVID-19 Test Development and Distribution
Rapid Acceleration of #Diagnostics (RADx), is a fast-track technology development program that leverages the National Institutes of Health (NIH) Point-of-Care Technology Research Network #POCTRNN).
IEEE: Certification Program for Autonomous and Intelligent Systems (ECPAIS) is ready for phase II
#IEEE Invites Companies, Governments and Other Stakeholders Globally to Expand on #Ethics #Certification Program for #Autonomous and #Intelligent #Systems (#ECPAIS) Work
Encrypted Traffic Analysis
This report explores the current state of affairs in Encrypted Traffic Analysis and in particular discusses research and methods in 6 key use cases; viz. application identification, network analytics, user information identification, detection of encrypted malware, file/device/website/location fingerprinting and DNS tunnelling detection.
