News & Updates
Discover Hidden Cost Savings with Spiki’s Robust AI Systems
Robustness makes AI perform reliably and is a prerequisite for safety-critical applications. Making a neural network locally robust sets AI apart from current state-of-the-art AI. In our last article we highlighted the benefits of implementing robustness already into...
The fundamentals of cost-effective AI development
In this article we will pick up what we have learnt about the concept of robustness and its advantages. We will learn more about how robustness can contribute to more efficient and cost-effective AI development and how it can be implemented in neural network training...
High-Performance AND Cost Savings in Neural Network Training?
ONLY WITH ROBUSTNESS! Neural networks have emerged as powerful tools for solving complex problems in various domains, including computer vision, natural language processing, and robotics. However, deploying neural networks in real-world applications requires...
Data – The Bottleneck in Neural Network Training
Status quo: unlimited high-quality data needed Robust neural network training involves ensuring that the network is resistant to noise, variations in input data, and other forms of perturbation. This is important for real-world applications, where the input data may...
Robust AI is a costly endeavour for companies, except…
Why not outsource expertise, data collection and development? The cost and time required for robust AI training can vary widely depending on several factors, including the complexity of the task, the amount and quality of data available for training, and the...
Applied AI: Limitless potential for cost savings and revenue increases
Huge market chances across all industries According to a recent McKinsey Technology Trends Outlook1 on Applied AI (artificial intelligence), intelligent applications will push frontiers and set new standards in areas such as classification, prediction and control...