- Wed. Nov 27th, 2024
Latest Post
Google DeepMind Researchers Introduce DiLoCo: A Novel Distributed, Low-Communication Machine Learning Algorithm for Effective and Resilient Large Language Model Training
The soaring capabilities of language models in real-world applications are often hindered by the intricate challenges associated with their large-scale training using conventional methods like standard backpropagation. Google DeepMind’s latest…
Can AI Truly Understand Our Emotions? This AI Paper Explores Advanced Facial Emotion Recognition with Vision Transformer Models
FER is pivotal in human-computer interaction, sentiment analysis, affective computing, and virtual reality. It helps machines understand and respond to human emotions. Methodologies have advanced from manual extraction to CNNs…
Researchers at UC Berkeley Introduced RLIF: A Reinforcement Learning Method that Learns from Interventions in a Setting that Closely Resembles Interactive Imitation Learning
Researchers from UC Berkeley introduce an unexplored approach to learning-based control problems, integrating reinforcement learning (RL) with user intervention signals. Utilizing off-policy RL on DAgger-style interventions, where human corrections guide…
KAIST Researchers Introduce Quatro++: A Robust Global Registration Framework Exploiting Ground Segmentation for Loop Closing in LiDAR SLAM
The problem of sparsity and degeneracy issues in LiDAR SLAM has been addressed by introducing Quatro++, a robust global registration framework developed by researchers from the KAIST. This method has…
This AI Research Presents a Physics-Based Deep Learning for Predicting IFP and Liposome Accumulation
In the pursuit of refining cancer therapies, researchers have introduced a groundbreaking solution that significantly elevates our comprehension of tumor dynamics. This study centers on precisely predicting intratumoral fluid pressure…
AWS Launches New Analytics Engine That Combines the Power Of Vector Search And Graph Data
One of the common debates in the AI circles is whether using graph or vector databases offers more truthful information in generative AI (GenAI) applications. While graph data is great…
Unsupervised speech-to-speech translation from monolingual data
Posted by Eliya Nachmani, Research Scientist, and Michelle Tadmor Ramanovich, Software Engineer, Google Research Speech-to-speech translation (S2ST) is a type of machine translation that converts spoken language from one language…
Insight acquires SADA, 6-time Google Cloud Partner of the Year
Insight reinforces its unique position as a leading Solutions Integrator, offering market-leading multicloud solutions at scale SADA is an elite Google Cloud Premier Partner that strengthens Insight’s digital transformation capabilities…
Insight Tech Journal reflects on Gen AI & 2023 Biggest IT Disruptors
Insight’s quarterly magazine also predicts the next big tech surprises for 2024 Generative AI burst onto the scene only a year ago, and now as 2023 draws to a close,…
AI & Big Data Expo: AI’s impact on decision-making in marketing
In a presentation at AI & Big Data Expo Global, Jason Smith, Chief Digital Officer of Publicis Groupe, shared insights into the role of AI in reshaping decision-making processes within…