Neural Network Diffusion: Generating High-Performing Neural Network Parameters
Despite the great success of diffusion models in visual generation, their potential in other domains still needs to be explored. Existing research methodologies have demonstrated the remarkable efficacy of diffusion…
Beyond GPT-4: Dive into Fudan University’s LONG AGENT and Its Revolutionary Approach to Text Analysis!
In the rapidly evolving field of artificial intelligence, the “LONG AGENT” approach emerges as a groundbreaking solution to a longstanding challenge: efficiently processing and understanding lengthy texts, a domain where…
Clarifai hires Chris Kent as SVP Marketing
Kent to propel growth as enterprises look to build AI faster with Clarifai Clarifai, a global leader in AI development and a pioneer of the full-stack AI platform, announced today…
Intapp announces vertical AI capabilities
Release of Intapp Assist and “Intelligence Applied” philosophy underscore commitment to revolutionizing how industry engages with AI securely Intapp (NASDAQ: INTA), a leading global provider of AI-powered solutions for professionals…
Huawei launches DC908 Pro Platform
At the MWC Barcelona 2024, Huawei launched the Huawei OptiXtrans DC908 Pro, a new platform for Data Center Interconnect (DCI) designed for the intelligent era. This innovative platform ensures the efficient, secure,…
BRG’s AI and the Future of Healthcare Report
While healthcare organizations are racing to adopt artificial intelligence, fewer than half have reviewed regulatory guidance in preparing to implement the technology Amid the promise of higher valuations, lower costs…
Competitors would be wise to mimic ‘Gemini for Google Workspace’
‘Gemini for Google Workspace’ is fueled by Gemini Google’s most capable set of large language models (LLMs) it has ever built, setting a lead for others to follow, according to…
Meta AI Introduces MAGNET: The First Pure Non-Autoregressive Method for Text-Conditioned Audio Generation
Recent advancements in self-supervised representation learning, sequence modeling, and audio synthesis have significantly enhanced the performance of conditional audio generation. The prevailing approach involves representing audio signals as compressed representations,…
Improving LVLM Efficiency: ALLaVA’s Synthetic Dataset and Competitive Performance
Vision-language models in AI are designed to understand and process information from visual and textual inputs, simulating the human ability to perceive and interpret the world around us. The intersection…
BABILong: Revolutionizing Long Document Processing through Recurrent Memory Augmentation in NLP Models
The quest to process lengthy documents with precision has been a formidable challenge. Generative transformer models have been at the forefront, dissecting and comprehending extensive texts. Their effectiveness wanes when…