Mobile gaming expertise must-have for all game companies: GlobalData
The mobile gaming market is already bigger than the combined console and PC gaming markets. Consequently, mobile gaming expertise is a must-have for all game companies, says GlobalData, a leading…
Meet T-Stitch: A Simple Yet Efficient Artificial Intelligence Technique to Improve the Sampling Efficiency with Little or No Generation Degradation
Diffusion probabilistic models (DPMs) have long been a cornerstone of AI image generation, but their computational demands have been a significant drawback. This paper introduces a novel technique, T-Stitch, which…
This AI Research from Stanford Discusses Backtracing and Retrieving the Cause of the Query
In a recent study, a team of researchers addressed the intrinsic drawbacks of current online content portals that enable users to ask questions to improve their comprehension, especially in learning…
Mujin unveils innovations for inbound and outbound automation at MODEX
In booth B6023, company to showcase multiple robotics solutions, including TruckBot, working together to create next-gen automation for warehouse workflows Mujin, a leader in robotics and automation technology, will showcase…
Unveiling the Dynamics of Generative Diffusion Models: A Machine Learning Approach to Understanding Data Structures and Dimensionality
The recent advancements in machine learning, particularly in generative models, have been marked by the emergence of diffusion models (DMs) as powerful tools for modeling complex data distributions and generating…
Rhapsody introduces AI for Identity with Rhapsody Autopilot
AI-powered Functionality Automates Data Stewardship and Lowers Costs by Reducing the Need for Manual Intervention Rhapsody, a global leader in digital health enablement, announced Rhapsody Autopilot, a first-of-its-kind technology that uses…
Enhancing Large Language Model LLM Safety Against Fine-Tuning Threats: A Backdoor Enhanced Alignment Strategy
Despite the impressive capabilities of LLMs like GPT-4 and Llama-2, they require fine-tuning with tailored data for specific business needs, exposing them to safety threats such as the Fine-tuning based…
This AI Paper from China Introduces ShortGPT: A Novel Artificial Intelligence Approach to Pruning Large Language Models (LLMs) based on Layer Redundancy
Recent advancements in Large Language Models (LLMs) have led to models containing billions or even trillions of parameters, achieving remarkable performance across domains. However, their massive size poses challenges in…
This AI Paper from Huawei Introduces DenseSSM: A Novel Machine Learning Approach to Enhance the Flow of Hidden Information between Layers in State Space Models (SSMs)
Developing efficient and powerful large language models (LLMs) represents a frontier of innovation. These models have relied on the Transformer architecture, celebrated for its ability to understand and generate human-like…
Meet SafeDecoding: A Novel Safety-Aware Decoding AI Strategy to Defend Against Jailbreak Attacks
Despite the significant strides in large language models (LLMs) such as ChatGPT, Llama2, Vicuna, and Gemini, they grapple with safety issues. This paper introduces a novel safety-aware decoding technique, SafeDecoding,…