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Deep Learning Technology
London, United Kingdom
A
1-10 Employees
-
Key takeaway
Deep Learning is committed to your success, offering expertise to enhance your technological performance and organizational effectiveness. Their experienced team ensures well-planned execution of business processes, making it a valuable resource for those looking to expand operations.
Reference
Core business
Home
Artificial Learning
London, United Kingdom
A
1-10 Employees
2012
Key takeaway
Artificial Learning Ltd is collaborating with top UK universities to implement advanced machine learning algorithms into ASICs, highlighting their focus on deep hardware solutions for deep learning.
Reference
Product
Deep hardware for deep learning | Artificial Learning
Quantum AI
London, United Kingdom
A
1-10 Employees
2021
Key takeaway
Quantum AI leverages deep learning to enhance its artificial intelligence capabilities, enabling improved data mining and performance. This approach allows for better interrogation of data across various platforms, ultimately providing businesses with innovative solutions and a competitive edge.
Reference
Product
Deep Learning - Quantum Artificial Intelligence Plc
We use deep learning to complement our intelligence modules. The ability to interrogate across platforms, networks and layers within repositories allows the learning intelligence that supports the Quantum AI engines to be accurate.
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cloudlogic.dev
London, United Kingdom
A
1-10 Employees
-
Key takeaway
The company specializes in Machine Learning, highlighting its expertise in this area alongside Data Analytics and Cloud services.
Reference
Service
Machine Learning - cloudlogic.dev
Deep Learning Partnership
City of Westminster, United Kingdom
A
1-10 Employees
2012
Key takeaway
Deep Learning Partnership emphasizes its commitment to transforming businesses into AI-first organizations, highlighting their expertise in deep learning through comprehensive model audits and dedicated MLOps support for successful AI implementation.
Reference
Core business
AI Implementation & Training | Deep Learning Partnership
We will walk you through your end to end implementation, transforming your business into an AI first & quantum ready company
InstaDeep
London, United Kingdom
A
101-250 Employees
2015
Key takeaway
InstaDeep specializes in AI-powered decision-making systems for enterprises, highlighting their expertise in machine intelligence research and practical applications. Their recognition as a leading AI start-up and partnerships with major AI networks underscore their commitment to advancing AI technologies.
Reference
Core business
Home | InstaDeep - Decision-Making AI For The Enterprise
InstaDeep delivers AI-powered decision-making systems for the Enterprise. With expertise in both machine intelligence research and concrete business deployments, we provide a competitive advantage to our customers in an AI-first world.
embedica.ai
London, United Kingdom
A
11-50 Employees
2018
Key takeaway
EMBEDICA specializes in Deep Learning, along with other AI and data science areas like Computer Vision and Natural Language Processing. Their expertise enables them to deliver optimized, explainable models and tailored solutions across various industries, directly benefiting their customers.
Reference
Product
NLP - embedica.ai - AI Data Science Analytics & Cloud
DecisionForest Capital
London, United Kingdom
A
1-10 Employees
2018
Key takeaway
The company specializes in Data & AI, offering tailored training and solutions that can enhance understanding and implementation of deep learning techniques.
Reference
Core business
Your Data & AI Partner
Intellegens
Cambridge, United Kingdom
A
11-50 Employees
2017
Key takeaway
Intellegens emphasizes its commitment to driving innovation through advanced deep learning and machine learning techniques, particularly in extracting value from sparse or noisy data. Their Alchemite™ tools are designed to optimize R&D processes, significantly reducing the need for extensive experimentation and accelerating innovation in fields such as materials and manufacturing.
Reference
Core business
Applied machine learning - intellegens
Accelerate innovation for materials, chemicals, manufacturing, and beyond. Advanced deep learning extracts value from real-world, sparse, noisy data.
London School of AI
London, United Kingdom
A
1-10 Employees
-
Key takeaway
The company focuses on educating businesses about AI technologies, offering specialized training in advanced deep learning, particularly through TensorFlow, which simplifies the use of neural networks and machine learning. Their mission is to equip professionals with the skills needed to thrive in an AI-driven job market.
Reference
Product
Advanced Deep Learning: Harnessing the Potential of TensorFlow. -
TensorFlow is an open-source framework that makes it simpler to employ neural networks and machine learning. This course aims to offer everyone the chance to demonstrate their proficiency in ML in an increasingly AI-driven global job market.
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Use case
EU-AI Act
All industries, Pharma, Finance, E-Mobility, Healthcare
er EU AI Act klassifiziert KI-Systeme in 4 Risikostufen: Verbotene KI: Soziale Bewertungssysteme, biometrische Echtzeit-Überwachung, manipulative Systeme Hochrisiko-KI: Kritische Infrastruktur, Bildung, Personalwesen, wichtige Dienste, Strafverfolgung Begrenzte Risiken: Chatbots (Transparenzpflicht), KI-generierte Inhalte (Kennzeichnungspflicht), Emotionserkennung Minimales Risiko: Alle anderen KI-Anwendungen ohne spezifische Auflagen Nachweis KI-Kompetenz: Unternehmen müssen dokumentieren, dass ihre KI-Systeme konform sind Verpflichtende Schulungen für Mitarbeiter im Umgang mit KI-Systemen Nachweis technischer Expertise im Entwicklungsteam Regelmäßige Überprüfung und Aktualisierung der KI-Kompetenzen Dokumentation von Risikobewertungen und Qualitätsmanagement Etablierung eines KI-Ethik-Boards für Hochrisiko-Anwendungen Inkrafttreten: 24 Monate nach Verabschiedung, Hochrisiko-Systeme: 36 Monate Übergangsfrist. Ziel ist ein sicherer, ethischer KI-Einsatz in der EU durch kompetente Anwendung und Überwachung.
Use case
EU-AI Act
All industries, Pharma, Finance, E-Mobility, Healthcare
er EU AI Act klassifiziert KI-Systeme in 4 Risikostufen: Verbotene KI: Soziale Bewertungssysteme, biometrische Echtzeit-Überwachung, manipulative Systeme Hochrisiko-KI: Kritische Infrastruktur, Bildung, Personalwesen, wichtige Dienste, Strafverfolgung Begrenzte Risiken: Chatbots (Transparenzpflicht), KI-generierte Inhalte (Kennzeichnungspflicht), Emotionserkennung Minimales Risiko: Alle anderen KI-Anwendungen ohne spezifische Auflagen Nachweis KI-Kompetenz: Unternehmen müssen dokumentieren, dass ihre KI-Systeme konform sind Verpflichtende Schulungen für Mitarbeiter im Umgang mit KI-Systemen Nachweis technischer Expertise im Entwicklungsteam Regelmäßige Überprüfung und Aktualisierung der KI-Kompetenzen Dokumentation von Risikobewertungen und Qualitätsmanagement Etablierung eines KI-Ethik-Boards für Hochrisiko-Anwendungen Inkrafttreten: 24 Monate nach Verabschiedung, Hochrisiko-Systeme: 36 Monate Übergangsfrist. Ziel ist ein sicherer, ethischer KI-Einsatz in der EU durch kompetente Anwendung und Überwachung.
When exploring the Deep Learning industry in the United Kingdom, several key considerations come into play. The regulatory environment is critical; companies must navigate GDPR compliance and data protection laws as they handle vast amounts of data for training algorithms. Additionally, the UK government actively supports AI initiatives, providing funding and incentives that create opportunities for innovation. However, challenges such as talent shortages and the need for a skilled workforce remain prevalent, as the demand for expertise in machine learning and data science continues to grow. The competitive landscape is marked by a mix of established firms and startups, fostering an environment ripe for collaboration and knowledge sharing. This ecosystem is bolstered by numerous research institutions and universities that contribute to advancements in Deep Learning technologies. Environmental concerns are increasingly relevant, with organizations being urged to consider the carbon footprint associated with large-scale data processing and model training. Finally, as global demand for AI solutions expands, the UK stands as a significant player in the international market, positioning itself as a hub for innovation and development in Deep Learning. Understanding these factors can provide valuable insights for anyone looking to engage with this dynamic industry.
Some interesting numbers and facts about your company results for Deep Learning
| Country with most fitting companies | United Kingdom |
| Amount of fitting manufacturers | 1621 |
| Amount of suitable service providers | 1737 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 2012 |
| Youngest suiting company | 2021 |
Some interesting questions that has been asked about the results you have just received for Deep Learning
What are related technologies to Deep Learning?
Based on our calculations related technologies to Deep Learning are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Deep Learning?
Start-Ups who are working in Deep Learning are Quantum AI
Which industries are mostly working on Deep Learning?
The most represented industries which are working in Deep Learning are IT, Software and Services, Education, Consulting, Other, Marketing Services
How does ensun find these Deep Learning Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.