Average Ratings 0 Ratings
Average Ratings 3 Ratings
Description
The Cambridge Neuropsychological Test Automated Battery (CANTAB), which was initially created at the University of Cambridge, provides highly accurate and objective assessments of cognitive abilities that are linked to neural networks. With the capability to detect variations in neuropsychological performance, CANTAB encompasses a wide array of tests that evaluate working memory, learning, and executive function, as well as visual, verbal, and episodic memory; attention, information processing, and reaction time; social and emotional recognition, decision-making, and response control. These cognitive evaluations serve as crucial instruments for unraveling the complexities of specific brain functions associated with various disorders and conditions, offering valuable insights into their underlying causes, facilitating the early detection of symptoms, and assessing the impact of interventions aimed at enhancing brain health. By utilizing the CANTAB, researchers and clinicians can better understand cognitive impairments, leading to more effective strategies for treatment and support.
Description
The Microsoft Cognitive Toolkit (CNTK) is an open-source framework designed for high-performance distributed deep learning applications. It represents neural networks through a sequence of computational operations organized in a directed graph structure. Users can effortlessly implement and integrate various popular model architectures, including feed-forward deep neural networks (DNNs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs/LSTMs). CNTK employs stochastic gradient descent (SGD) along with error backpropagation learning, enabling automatic differentiation and parallel processing across multiple GPUs and servers. It can be utilized as a library within Python, C#, or C++ applications, or operated as an independent machine-learning tool utilizing its own model description language, BrainScript. Additionally, CNTK's model evaluation capabilities can be accessed from Java applications, broadening its usability. The toolkit is compatible with 64-bit Linux as well as 64-bit Windows operating systems. For installation, users have the option of downloading pre-compiled binary packages or building the toolkit from source code available on GitHub, which provides flexibility depending on user preferences and technical expertise. This versatility makes CNTK a powerful tool for developers looking to harness deep learning in their projects.
API Access
Has API
No
API Access
Has API
Yes
Integrations
AI Skills Navigator
No
Alteryx
No
AssurX
No
AuraQuantic
No
Azure Data Science Virtual Machines
No
Azure Database for MariaDB
No
Microsoft Dynamics 365 Finance
No
Microsoft Dynamics Supply Chain Management
No
Microsoft Power Platform
No
Integrations
AI Skills Navigator
Yes
Alteryx
Yes
AssurX
Yes
AuraQuantic
Yes
Azure Data Science Virtual Machines
Yes
Azure Database for MariaDB
Yes
Microsoft Dynamics 365 Finance
Yes
Microsoft Dynamics Supply Chain Management
Yes
Microsoft Power Platform
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Cambridge Cognition
Founded
2002
Country
United Kingdom
Website
www.cambridgecognition.com
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
docs.microsoft.com/en-us/cognitive-toolkit/
Product Features
Clinical Trial Management
21 CFR Part 11 Compliance
Yes
Document Management
Yes
Electronic Data Capture
Yes
Enrollment Management
Yes
HIPAA Compliant
Yes
Monitoring
Yes
Patient Database
Yes
Recruiting Management
Yes
Scheduling
Yes
Study Planning
Yes
Product Features
Deep Learning
Convolutional Neural Networks
Yes
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No