Author: Alex McFarland

AI voice agents are an integral part of today’s automated phone communication, enabling businesses to process thousands of concurrent calls through sophisticated speech recognition and natural language processing systems. These platforms combine voice synthesis, real-time transcription, and contextual understanding to handle tasks ranging from appointment scheduling to complex customer support interactions. Voice agent technology has

The European Commission recently introduced a Code of Conduct that could change how AI companies operate. It is not just another set of guidelines but rather a complete overhaul of AI oversight that even the biggest players cannot ignore.  What makes this different? For the first time, we are seeing concrete rules that could force

A team of scientists just found something that changes a lot of what we thought we knew about AI capabilities. Your models aren’t just processing information – they are developing sophisticated abilities that go way beyond their training. And to unlock these abilities, we need to change how we talk to them. The Concept Space

As developers and researchers push the boundaries of LLM performance, questions about efficiency loom large. Until recently, the focus has been on increasing the size of models and the volume of training data, with little attention given to numerical precision—the number of bits used to represent numbers during computations. A recent study from researchers at

Making your WordPress website accessible to all users is a necessity. Text-to-speech (TTS) functionality is a crucial feature, serving not only visitors with visual impairments but also those who prefer consuming content through audio. As mobile devices continue to dominate web traffic and multitasking becomes the norm, incorporating high-quality text-to-speech capabilities can significantly enhance user

The quest to develop robots that can reliably navigate complex environments has long been hindered by a fundamental limitation: most robotic vision systems essentially go blind in challenging weather conditions. From autonomous vehicles struggling in dense fog to rescue robots hampered by smoke-filled buildings, these limitations have represented a critical vulnerability in robotics applications where

The scratchpad technique fundamentally changes how we interact with Large Language Models (LLMs). Unlike traditional prompting where we simply state our request and hope for the best, the scratchpad technique creates a structured thought process that both you and the LLM can follow. Consider this common scenario: When asking an LLM to analyze customer purchase

The world of robotics faces a persistent challenge: replicating the intricate sensory capabilities that humans naturally possess. While robots have made remarkable strides in visual processing, they’ve historically struggled to match the nuanced touch sensitivity that allows humans to handle everything from fragile eggs to complex tools with ease. A team of researchers from Columbia

In a strategic move that highlights the increasing competition in artificial intelligence infrastructure, Amazon has entered negotiations with Anthropic regarding a second multi-billion dollar investment. As reported by The Information, this potential deal emerges just months after their initial $4 billion partnership, marking a significant evolution in their relationship. The technology sector has witnessed a

The relentless march of computational power has long relied on our ability to make electronic components smaller and more efficient. At the heart of this progress lies the humble transistor – the fundamental building block of modern electronics. However, as our digital world expands and artificial intelligence applications become more demanding, we’re approaching a critical