The Future of AI
Market Size: In less than 20 years, voice recognition technology has grown phenomenally. But what does the future hold? In 2020, the global voice recognition technology market was about $10.7 billion. It is projected to skyrocket to $27.16 billion by 2026 growing at a CAGR of 16.8% from 2021 to 2026. What is Voice Recognition and … Read more
PDFs are a great choice for viewing, sharing and preserving data – the perfect file format to lock in data. But extracting data from PDFs for further processing or data analysis can be extremely challenging. This is one of the main reasons that PDF documents are often converted to the CSV (Comma-Separated Values) format. It’s … Read more
Zeroth Principles can clarify many issues in the ML/AI domain. As discussed in a previous post, Epistemology is normally an armchair discipline, like the rest of Philosophy. It has only lately become accessible to experiments because we can use various Machine Learning models to test our hypotheses. I would like to introduce three statements in … Read more
Introduction – AI and Unintended Consequences AI and unintended consequences go hand in hand. Artificial Intelligence (AI) is undeniably transformative, offering revolutionary prospects across diverse industries. Its capabilities range from simplifying mundane tasks to solving complex problems that baffle human intelligence. However, the rapid growth of machine learning and neural networks also brings a host … Read more
Introduction Technology is changing everything in today’s world, including marketing. Artificial Intelligence (AI) is a big part of this change. It helps in many ways, like analyzing data to understand customers better, predicting what they might like, and even chatting with them online. AI in marketing has lots of benefits. It can save time by … Read more
Researchers at Delft University of Technology’s (TU Delft) are utilizing drone racing to test neural-network-based AI systems intended for future space missions. This innovative research was a collaboration between the European Space Agency’s (ESA) Advanced Concepts Team and the Micro Air Vehicle Laboratory (MAVLab) at TU Delft. The project aims to explore the use of … Read more
Learn faster. Dig deeper. See farther. It’s an exciting time to build with large language models (LLMs). Over the past year, LLMs have become “good enough” for real-world applications. The pace of improvements in LLMs, coupled with a parade of demos on social media, will fuel an estimated $200B investment … Read more
Multimodal learning refers to the process of learning representations from different types of modalities using the same model. Different modalities are characterized by different statistical properties. In the context of machine learning, input modalities include images, text, audio, etc. In this article, we will discuss only images and text as inputs and see how we … Read more
The current challenges in text-to-speech (TTS) systems revolve around the inherent limitations of autoregressive models and their complexity in aligning text and speech accurately. Many conventional TTS models require complex elements such as duration modeling, phoneme alignment, and dedicated text encoders, which add significant overhead and complexity to the synthesis process. Furthermore, previous models like … Read more
As part of our research efforts in the area of continual learning, we are open-sourcing a benchmark for testing agents’ ability to perform tasks involving the advanced use of the memory over very long conversations. Among others, we evaluate the agent’s performance on tasks that require dynamic upkeep of memories or integration of information over … Read more