• Tue. Nov 26th, 2024

Month: February 2024

  • Home
  • InterDigital appoints Ken Kaskoun as Chief Growth Officer

InterDigital appoints Ken Kaskoun as Chief Growth Officer

InterDigital, Inc. (Nasdaq: IDCC), a mobile, video and AI technology research and development company, today announced that Ken Kaskoun has been appointed as the company’s Chief Growth Officer, reporting to…

Spectral AI appoints Dr. J. Michael DiMaio to Board of Directors

The Company’s two largest stockholders holding approximately 45% of the Company’s outstanding shares have extended their lock-up agreements for an additional 180 days Spectral AI, Inc. (Nasdaq: MDAI) (“Spectral AI”…

THINK Surgical and LINK strategically collaborate for Robotic TKA

THINK Surgical, Inc., an innovator in the field of orthopedic surgical robots, today announced that it will enter into a new Collaboration Agreement with Waldemar Link GmbH & Co. KG…

Enhancing Language Model Alignment through Reward Transformation and Multi-Objective Optimization

The current study examines how well LLMs align with desirable attributes, such as helpfulness, harmlessness, factual accuracy, and creativity. The primary focus is on a two-stage process that involves learning…

Apple AI Research Releases MLLM-Guided Image Editing (MGIE) to Enhance Instruction-based Image Editing via Learning to Produce Expressive Instructions

The use of advanced design tools has brought about revolutionary transformations in the fields of multimedia and visual design. As an important development in the field of picture modification, instruction-based…

This AI Paper Proposes Two Types of Convolution, Pixel Difference Convolution (PDC) and Binary Pixel Difference Convolution (Bi-PDC), to Enhance the Representation Capacity of Convolutional Neural Network CNNs

Deep convolutional neural networks (DCNNs) have been a game-changer for several computer vision tasks. These include object identification, object recognition, image segmentation, and edge detection. The ever-growing size and power…

Google Research Introduces TimesFM: A Single Forecasting Model Pre-Trained on a Large Time-Series Corpus of 100B Real World Time-Points

Time Series forecasting is an important task in machine learning and is frequently used in various domains such as finance, manufacturing, healthcare, and natural sciences. Researchers from Google introduced a…

Enhanced Audio Generation through Scalable Technology

Technological advancements have been pivotal in transcending the boundaries of what’s achievable in the domain of audio generation, especially in high-fidelity audio synthesis. As demand for more sophisticated and realistic…

This AI Paper Proposes Infini-Gram: A Groundbreaking Approach to Scale and Enhance N-Gram Models Beyond Traditional Limits

Pretrained on trillion-token corpora, large neural language models (LLMs) have achieved remarkable performance strides (Touvron et al., 2023a; Geng & Liu, 2023). However, the scalability benefits of such data for…

Outsmarting Uncertainty: How ‘K-Level Reasoning’ from Microsoft Research is Setting New Standards for LLMs

Delving into the intricacies of artificial intelligence, particularly within the dynamic reasoning domain, uncovers the pivotal role of Large Language Models (LLMs) in navigating environments that are not just complex…