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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Cortex harnesses cutting-edge machine learning technology to effortlessly monitor research interactions and pinpoint research incentives throughout all communication channels. We provide the most efficient and unobtrusive research payment validation services, ensuring your organization remains compliant and effective while utilizing accurate data for informed decision-making. Operating in real time, Cortex automatically gathers, interprets, and securely comprehends all internal and external research interactions within your business's information streams. This innovative system alleviates the pressure of tracking these interactions internally and negates the necessity of depending on and reconciling sell-side data, allowing your investment professionals to concentrate on their core competencies. Ultimately, Cortex empowers your team to operate more efficiently and effectively, transforming how research interactions are managed.

Description

Advancements in machine learning have led to significant breakthroughs in both business applications and research, impacting areas such as network security and medical diagnostics. To empower a broader audience to achieve similar innovations, we developed the Tensor Processing Unit (TPU). This custom-built machine learning ASIC is the backbone of Google services like Translate, Photos, Search, Assistant, and Gmail. By leveraging the TPU alongside machine learning, companies can enhance their success, particularly when scaling operations. The Cloud TPU is engineered to execute state-of-the-art machine learning models and AI services seamlessly within Google Cloud. With a custom high-speed network delivering over 100 petaflops of performance in a single pod, the computational capabilities available can revolutionize your business or lead to groundbreaking research discoveries. Training machine learning models resembles the process of compiling code: it requires frequent updates, and efficiency is key. As applications are developed, deployed, and improved, ML models must undergo continuous training to keep pace with evolving demands and functionalities. Ultimately, leveraging these advanced tools can position your organization at the forefront of innovation.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Cohere No 
Gmail No 
Google Assistant No 
Google Cloud AI Infrastructure No 
Google Cloud Deep Learning VM Image No 
Google Cloud Platform No 
Google Cloud Search No 
Google Kubernetes Engine (GKE) No 
Google Photos No 
Google Translate No 
Salesforce No 

Integrations

Cohere Yes 
Gmail Yes 
Google Assistant Yes 
Google Cloud AI Infrastructure Yes 
Google Cloud Deep Learning VM Image Yes 
Google Cloud Platform Yes 
Google Cloud Search Yes 
Google Kubernetes Engine (GKE) Yes 
Google Photos Yes 
Google Translate Yes 
Salesforce Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0.97 per chip-hour
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
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 Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

FeedStock

Founded

2015

Country

United Kingdom

Website

feedstock.com/products/cortex/

Vendor Details

Company Name

Google

Country

United States

Website

cloud.google.com/tpu/

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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