Artificial Intelligence (AI) has significantly impacted the space technology sector, transforming the way we explore and understand the universe. From autonomous rovers navigating distant planets to optimizing satellite operations in Earth’s orbit, AI is revolutionizing various aspects of space exploration. By leveraging AI algorithms, space agencies, and private companies are unlocking new frontiers in autonomous…
In today’s digital world, video content is crucial for marketing, entertainment, and communication campaigns. When creating videos for online platforms like YouTube, social media, or professional presentations, it is essential to have high-quality editing tools. With the use of artificial intelligence, video editors can improve their work by adding effects, enhancing the audio, and creating…
Researchers from Beijing University of Technology, China, Monash University, Australia, the University of Hong Kong, China, and Griffith University, Australia, introduced LLM-DA to interpret Temporal Knowledge Graphs (TKGs). Temporal Knowledge Graphs (TKGs) are structured representations of real-world data incorporating temporal dimensions. Traditional methods for Temporal Knowledge Graph Reasoning (TKGR) rely on deep learning algorithms, which…
Neural networks have been widely used to solve partial differential equations (PDEs) in different fields, such as biology, physics, and materials science. Although current research focuses on PDEs with a singular solution, nonlinear PDEs with multiple solutions create a major problem. Different neural network methods including PINN, the Deep Ritz method, and DeepONet, are developed…
What are AI Agents? Artificial intelligence (AI) agents are intelligent beings with the capacity to sense their surroundings, analyze information, and act independently to accomplish predetermined objectives. These agents use AI approaches to perform their functions and can be either software-based or physical beings. An AI agent is essentially a system that can interact with…
The Mistral AI Team has announced the release of its groundbreaking code generation model, Codestral-22B. This contributes toward a new direction and benchmark of AI for software development. Codestral empowers developers by enhancing their coding capabilities and streamlining the development process. Codestral is an open-weight generative AI model explicitly crafted for code generation tasks. It…
With significant advancements through its Gemini, PaLM, and Bard models, Google has been at the forefront of AI development. Each model has distinct capabilities and applications, reflecting Google’s research in the LLM world to push the boundaries of AI technology. Gemini: Google’s Multimodal Marvel Gemini represents the pinnacle of Google’s AI research, developed by Google…
Protein design is a rapidly advancing field leveraging computational models to create proteins with novel structures and functions. This technology has significant applications in therapeutics and industrial processes, revolutionizing how proteins are engineered for specific tasks. Researchers in this field aim to develop methods that accurately predict and generate protein structures that perform desired functions…
Multimodal Large Language Models (MLLMs) represent an advanced field in artificial intelligence where models integrate visual and textual information to understand and generate responses. These models have evolved from large language models (LLMs) that excelled in text comprehension and generation to now also processing and understanding visual data, enhancing their overall capabilities significantly. The main…
The rapid advancements in sequencing technologies have unlocked unprecedented potential in genomic research and precision medicine. However, the challenge of accurately identifying genetic variants from billions of short, error-prone sequence reads remains significant. A promising solution to this challenge has emerged in DeepVariant, a deep CNN designed to call genetic variants by learning statistical relationships…