Adobe Researchers Propose DMV3D: A Novel 3D Generation Approach that Uses a Transformer-based 3D Large Reconstruction Model to Denoise Multi-View Diffusion
A common challenge in 3D asset creation for Augmented Reality (AR), Virtual Reality (VR), robotics, and gaming has emerged. The surge in the popularity of 3D diffusion models, which simplify…
Daon adds xSentinel, an expansion of its AI.X technology
xSentinel strengthens authentication and minimizes generative AI voice fraud for Enterprise. Daon, the Digital Identity Trust company, announced the addition of xSentinel, an expansion of its AI.X technology. xSentinel provides…
MetricStream named a Leader in GRC by Independent Research Firm
MetricStream, a global market leader in governance, risk, and compliance (GRC), announced today that it has been named a Leader in The Forrester Wave: Governance, Risk, and Compliance Platforms, Q4…
UserTesting unveiled findings from consumer healthcare and AI survey
Study Reveals 44 percent of Brits and 27 percent of Australians wouldn’t trust AI to handle health-related tasks, compared to only 6 percent of Americans that share the same, anti-AI…
Meet Gemini: A Google’s Groundbreaking Multimodal AI Model Redefining the Future of Artificial Intelligence
Google’s latest venture into artificial intelligence, Gemini, represents a significant leap forward in AI technology. Unveiled as an AI model of remarkable capability, Gemini is a testament to Google’s ongoing…
Google Researchers Unveil Universal Self-Consistency (USC): A New Leap in Large Language Model Capabilities for Complex Task Performance
The problem of selecting the most consistent answer from multiple candidates to enhance task performance, particularly in tasks like mathematical reasoning and code generation, has been addressed by researchers from…
Researchers from MIT and Adobe Introduce Distribution Matching Distillation (DMD): An Artificial Intelligence Method to Transform a Diffusion Model into a One-Step Image Generator
With a steady training process, diffusion models have revolutionized picture production, attaining previously unheard-of levels of variety and realism. But unlike GANs and VAEs, their sampling is a laborious, iterative…
This AI Research Introduces CoDi-2: A Groundbreaking Multimodal Large Language Model Transforming the Landscape of Interleaved Instruction Processing and Multimodal Output Generation
Researchers developed the CoDi-2 Multimodal Large Language Model (MLLM) from UC Berkeley, Microsoft Azure AI, Zoom, and UNC-Chapel Hill to address the problem of generating and understanding complex multimodal instructions,…
Researchers from Microsoft Research and Georgia Tech Unveil Statistical Boundaries of Hallucinations in Language Models
A key issue that has recently surfaced in Language Models is the high rate at which Language Models (LMs) provide erroneous information, including references to nonexistent article titles. The Merriam-Webster…
Less Data Annotation + More AI = Deep Active Learning
Training artificial intelligence (AI) models often requires massive amounts of labeled data. It can be highly expensive and time-consuming, especially for complex tasks like image recognition or natural language processing.…