Why do we need autonomous AI agents? Picture this: it’s 3 a.m., and a customer on the other side of the globe urgently needs help with their account. A traditional chatbot would wake up your support team with an escalation. But what if your AI agent could handle the request autonomously, safely, and correctly? That’s the…
Advanced AI and NLP applications are in great demand in today’s modern world, wherein most businesses rely on data-driven insights and automation of business processes. All applications of AI or NLP have a requirement for a data pipeline that can ingest data, process it, and provide output for training, inference, and subsequent decision making at…
Although AI has been the No. 1 trend since at least 2023, organizational AI governance is just slowly catching up. But with rising AI incidents and new AI regulations, like the EU AI Act, it’s clear that an AI system that is not governed appropriately has the potential to cause substantial financial and reputational damage…
The convergence of AI and AR/VR is changing the way we engage with, explore, and even create content for virtual worlds. This convergence is adding intelligence, realism, and adaptability to immersive experiences like never before, enhancing the potential of AR/VR significantly. AI adds intelligence, personalisation, and adaptability to AR and VR interactions, thereby enhancing the…
Figure 3 Yet, solar power systems face their own set of hurdles. Large-scale solar installations demand very large land areas, which can be a limiting factor in densely populated or resource-constrained regions. Additionally, the environmental impact of manufacturing solar panels, including resource extraction and waste generated at the end of their lifecycle, cannot be overlooked….
This article covers introduction to LiDAR technology, the essentials of LiDAR data annotation, an overview of LiDAR data collection to its applications in AI models, and how Cogito Tech can help with LiDAR data annotation. What is LiDAR? LiDAR, or Light Detection and Ranging is a remote sensing technology that uses light in the form…
The Inefficiency of Static Chain-of-Thought Reasoning in LRMs Recent LRMs achieve top performance by using detailed CoT reasoning to solve complex tasks. However, many simple tasks they handle could be solved by smaller models with fewer tokens, making such elaborate reasoning unnecessary. This echoes human thinking, where we use fast, intuitive responses for easy problems…
Navigating the dense urban canyons of cities like San Francisco or New York can be a nightmare for GPS systems. The towering skyscrapers block and reflect satellite signals, leading to location errors of tens of meters. For you and me, that might mean a missed turn. But for an autonomous vehicle or a delivery robot,…
Rethinking Audio-Based Human-Computer Interaction Machines that can respond to human speech with equally expressive and natural audio have become a major goal in intelligent interaction systems. Audio-language modeling extends this vision by combining speech recognition, natural language understanding, and audio generation. Rather than relying on text conversions, models in this space aim to understand and…
Post-training methods for pre-trained language models (LMs) depend on human supervision through demonstrations or preference feedback to specify desired behaviors. However, this approach faces critical limitations as tasks and model behaviors become very complex. Human supervision is unreliable in these scenarios as LMs learn to mimic mistakes in demonstrations or exploit inherent flaws in feedback…