Embrace the future today by downloading our app and revolutionize your engagement with AI tools. Much of Stargate’s cost would go towards procuring millions of specialized AI chips, with funding primarily from Microsoft. OpenAI has offered a glimpse into its latest breakthrough – Voice Engine, an AI model that can generate stunningly lifelike voice clones from a mere 15-second audio sample and a text input. Researchers at the Shanghai AI Laboratory have created a new AI model called CosmicMan that specializes in generating realistic images of people.
He suggests that the ease of creating fake content with AI isn’t the main issue – it’s the distribution mechanisms on social media platforms that need addressing. Pika Labs unveiled Pika 1.5, a new video generation model upgrade featuring enhanced effects, realistic movement, longer clip creation, and cinematic capabilities. While still imperfect, DIAMOND points towards applications in robotics, autonomous systems, and virtual world creation. The ability to generate interactive, physics-based environments could revolutionize how AI is trained for real-world tasks. Meta FAIR just introduced a collection of new research models and datasets, including an upgraded image segmentation tool, a cross-modal language model, solutions to accelerate LLM performance, and more.
In October 2024, the landscape of artificial intelligence continues to evolve at an unprecedented pace, with groundbreaking innovations and genmoai developments emerging daily. The "Daily AI Chronicle" aims to capture the essence of these advancements, providing a comprehensive summary of the latest news and trends in AI technology throughout the month. Join us as we explore the exciting world of AI innovations, keeping you informed and engaged with the rapid changes set to influence our future. Mochi 1 is a video generation model that transforms text and images into high-quality videos. Haiper launches Haiper 2.0, its updated AI video generation model, promising faster and more realistic video production.
Artificial Intelligence (AI) is rapidly evolving beyond simple prompts and chat interactions. Let’s dive into the core components that make up an AI agent and explore why privacy is a crucial consideration in their development. If you look at AI-generated videos today, most of them look like live photos rather than real videos, said Paras Jain, CEO of AI video startup Genmo. That’s in part because video generation AI models don’t understand the laws of physics and aren’t trained on examples of different real world actions and complicated movements. Its ability to generate engaging visuals from text prompts makes it an effective tool for producing instructional videos that can enhance learning experiences.
Google DeepMind’s AlphaFold is the pinnacle of protein prediction models, and Chai is already giving it a run for its money. The more money flowing into drug discovery, the closer we get to curing major diseases using AI — and Chai is even open-sourcing its first model for the benefit of humanity. By developing its own AI models and integrating them deeply into its ecosystem, Apple is not just competing with Google and OpenAI – it’s changing what we expect from our devices.
Early results show that this next-generation silicon has improved performance by 3x over the first-generation chip across four key models evaluated. The M4 chip will come in three tiers (Donan, Brava, Hidra) and will be rolled out across various Mac models throughout 2024 and early 2025. Lower-tier models like MacBook Air and Mac Mini will get the base Donan chip, while high-performance Mac Pro will be equipped with the top-tier Hidra. We can expect to learn more about the specific AI features of the M4 chip at Apple’s WWDC on June 10th.
We can expect to see more seamless integration between language and vision, enabling the development of more sophisticated AI applications. This trend could have far-reaching implications for fields such as robotics, autonomous vehicles, and augmented reality, where the ability to interpret and respond to visual data is crucial. MagicLens employs a dual-encoder architecture, which allows it to process both image and text inputs, delivering highly accurate search results even when queries are expressed in everyday language. By leveraging advanced AI techniques, like contrastive learning and single-modality encoders, MagicLens can satisfy diverse search intents and deliver relevant images with unprecedented efficiency. Google DeepMind has introduced MagicLens, a revolutionary set of image retrieval models that surpass previous state-of-the-art methods in multimodality-to-image, image-to-image, and text-to-image retrieval tasks. Though the model has many applications, the AI giant is cautious about its potential misuse, especially during elections.
The RTX A1000 GPU is already available from resellers, while the RTX A400 GPU is expected to launch in May. Intel has introduced the world’s largest neuromorphic computer, mimicking the human brain. Unlike traditional computers, it combines computation and memory using artificial neurons. With 1.15 billion neurons, it consumes 100 times less energy than conventional machines. It performs 380 trillion synaptic operations per second This breakthrough could revolutionize AI and enhance energy-efficient computing. The model’s other strengths include multilingualism, with support for English, French, Italian, German, and Spanish, as well as strong math and programming capabilities.
Input your script or idea, and genmo ai’s AI will generate a video that brings your words to life. Their vision was to democratize video creation by making it accessible to everyone. "The only uninteresting video is one that doesn’t move—motion is the heart of video. That’s why we’ve invested heavily in motion quality compared to other models," said Jain.
