Researchers Develop a New AI-Based Method for Metamaterials Design

Translated data: Researchers have developed an innovative AI-based design method that utilizes machine learning for reverse engineering, rapidly generating metamaterial designs based on desired mechanical properties. These designs are then precisely manufactured through 3D printing, ensuring the final product accurately reflects the desired performance. This AI-driven approach accelerates the development of new metamaterials, enabling an integrated design and manufacturing process that overcomes the limitations of current design methods.

Scality Launches AI Certification for Over 20 Key Tools to Help Enterprises Accelerate AI Application Development

Global leading storage software company Scality upgrades its AI ecosystem certification program, now covering over 20 key AI and machine learning tools and frameworks. The program is based on its network resilient storage architecture, aiming to ensure tool interoperability, enhance data security and application efficiency, and meet the growing demand for AI development.

Meta AI Releases New Video Learning Model V-JEPA: A Breakthrough in Video Understanding

Recently, the Meta AI team launched the video joint embedding prediction architecture (V-JEPA) model, an innovative initiative aimed at advancing machine intelligence. Humans can naturally process information from visual signals and recognize surrounding objects and motion patterns. An important goal of machine learning is to reveal the fundamental principles that drive unsupervised learning in humans. Researchers proposed a key hypothesis—the predictive feature principle—arguing that the representations of continuous sensory inputs should be able to predict each other. Early research methods utilized slow feature analysis.

Google X Lab Incubates New Startup Heritable Agriculture: Using AI to Enhance Crop Yields

Google X's 'moonshot factory' has recently announced the independent development of a new startup, Heritable Agriculture. This new company aims to improve the way crops grow using data and machine learning technologies. Heritable Agriculture stated in a press release that plants are efficient and astonishing systems: 'Plants are solar-powered, carbon-negative self-assembling machines that rely on sunlight and water to thrive.' However, agriculture puts immense pressure on the Earth and its resources.

99% Accuracy! New AI Tool from Keele University Easily Identifies Fake News

Recently, researchers at Keele University developed a new AI tool capable of identifying fake news with an accuracy of up to 99%, providing crucial support in combating online misinformation. The research team includes Dr. Uchenna Anie from the School of Computer Science and Mathematics, Dr. Sangeeta Sangeeta, and Dr. Patricia Aso-Ayobode. The team employed various machine learning techniques to design a model that scans news content and assesses its credibility. The researchers used an 'ensemble voting' technique, which...

Research Finds AI Can 'Hear' Signs of Battery Fire with 94% Accuracy

The safety risks associated with lithium battery fires are often a cause for concern. To address this, scientists have proposed a method to provide early warnings of battery fires using sound. The study discovered that lithium-ion batteries undergo a series of chemical reactions before catching fire, leading to a gradual increase in internal pressure and ultimately causing the battery to swell. Due to the hard casing of the batteries, which cannot accommodate this swelling, the safety valve inside the battery bursts when the pressure becomes too high, creating a distinct sound.