Veoneer, a global leader in automotive electronic safety systems, collaborated with Amazon to develop an active learning pipeline for in-cabin sensing. Collaborating with Amazon's Worldwide Specialist Organization and the Generative AI Innovation Centre, they were able to cut costs by 90% and speed up the annotation process from weeks to hours.
In-cabin sensing uses cameras, radar,…
Korean pop, better known as K-pop, has taken a leap into the virtual realm following the achievements of virtual idol groups like MAVE and PLAVE in the previous year. Now, the "metaverse girl group" Triple Iz is competing for the attention of dedicated K-pop fans.
Triple Iz, consisting of three members from Indonesia, South Korea,…
Elon Musk, well-known through his experience within the technology industry and as CEO of SpaceX, has vast professional background and understanding of AI. In a live-streamed interview on X, he recently revealed his predictions for the future of AI. He predicted that we could have AI smarter than any one human by the end of…
The brand collaboration between pop star Taylor Swift and Super Bowl champion Travis Kelce is setting a new standard in strategic brand partnerships, uniting the worlds of entertainment and sports to create a marketing phenomenon. This unique coupling demonstrates the immense impact that can result from different sectors joining forces to boost their brand visibility…
Claude and ChatGPT are two notable artificial intelligence (AI) chatbots with different capabilities and features, developed by Anthropic AI and OpenAI respectively. Claude is known for its ability to simulate human-like conversations, using sophisticated natural language processing (NLP) algorithms. It can also adapt responses based on user personas, constantly learns from user interactions to improve…
Latent diffusion models (LDMs) are at the forefront of the rapid advancements in image generation. Despite their ability to generate incredibly realistic and detailed images, they often struggle with efficiency. The quality images they create necessitate several steps and can slow down the process, limiting their utility in real-time applications. Consequently, researchers are relentlessly exploring…
Jupyter Notebook, an open-source application for students, data scientists, and researchers, lets users create documents with code, equations, visualizations, and text. It's popular for data cleaning, numerical simulations, statistical modeling, data visualization, machine learning, and more. This interactive platform supports over 40 programming languages, including Python, R, Julia, and Scala.
After you've installed Jupyter Notebook…
The development of Large Language Models (LLMs) has depicted significant progress in the field of artificial intelligence, particularly in generating text, reasoning, and decision-making in a manner resembling human-like abilities. Despite such advancements, achieving alignment with human ethics and values remains a complex issue. Traditional methodologies such as Reinforcement Learning from Human Feedback (RLHF) have…
Computer vision—a field that strives to connect textual semantics with visual imagery—often requires complex generative models, and has broad applications including improving digital art creation and design processes. A key challenge in this area is to produce high-quality images efficiently which match given textual descriptions.
In the past, computer vision research focused on foundational diffusion models…
Google has presented a new suite of large language models called CodeGemma, which are intended to enhance code generation, understanding, and instruction following operations. These AI-driven tools being made widely accessible to developers signifies a significant move towards advancement in the realm of artificial intelligence and software development.
CodeGemma comprises open-access versions of the Gemma model…
As artificial intelligence continues to develop, researchers are facing challenges with fine-tuning large language models (LLMs). This process, which improves task performance and ensures that AI behaviors align with instructions, is costly because it requires significant GPU memory. This is especially problematic for large models like LLaMA 6.5B and GPT-3 175B.
To overcome these challenges, researchers…
In the complex domain of software industry, delivery efficiency often bears the brunt of conventional methods that lack flexibility and adaptability to handle intricate tasks. Solutions have certainly been devised to beat these hurdles but often fall short in meeting project-based diverse needs. Reliance on specialized software tools, although helpful, can be a costly and…