Skip to content Skip to sidebar Skip to footer

What is Intelligent Document Processing?

As we enter the sixth decade of the information age, data has become a currency of the business world. However, it is estimated that a vast majority of a company's data remains unstructured, taking the form of written text found in various forms such as reports, contracts, and emails. The manual process of collating…

Read More

The Ultimate Guide to Supply Chain Automation

Supply chains today are very complex, with numerous stakeholders, processes, and data points involved. From raw material sourcing and production to shipping and delivery, managing the supply chain can be a daunting task for businesses. This is where supply chain automation comes into play, offering a range of benefits, from increased efficiency and productivity to…

Read More

Unlocking the Power of AI: Transforming Data into Actionable Insights | by Marcin Rojek | Apr, 2024

In the ever-evolving landscape of technology, the term “Artificial Intelligence” (AI) has become ubiquitous, often sparking discussions and debates about its true nature and potential. Regardless of the label — whether it’s AI, Artificial Intelligence, Deep Learning, Machine Learning (ML), or automation — these technologies are essentially a collection of algorithms that have the remarkable…

Read More

Introducing the Frontier Safety Framework

Our approach to analyzing and mitigating future risks posed by advanced AI models Google DeepMind has consistently pushed the boundaries of AI, developing models that have transformed our understanding of what's possible. We believe that AI technology on the horizon will provide society with invaluable tools to help tackle critical global challenges, such as climate…

Read More

Researchers at Stanford Propose TRANSIC: A Human-in-the-Loop Method to Handle the Sim-to-Real Transfer of Policies for Contact-Rich Manipulation Tasks

Learning in simulation and applying the learned policy to the real world is a potential approach to enable generalist robots, and solve complex decision-making tasks. However, the challenge to this approach is to address simulation-to-reality (sim-to-real) gaps. Also, a huge amount of data is needed while learning to solve these tasks, and the load of…

Read More