Researchers from MIT and Harvard Developed UNITS: A Unified Machine Learning Model for Time Series Analysis that Supports a Universal Task Specification Across Various Tasks
Time series analysis is critical in finance, healthcare, and environmental monitoring. This area faces a substantial challenge: the heterogeneity of time series data, characterized by varying lengths, dimensions, and task…
CloudSquad kicks off operations
CloudSquad, a company backed by industry veterans with a proven track record in Cloud professional services, started company operations. The Company is based in Reno, NV and will be providing Cloud and…
Clarifai, Deepgram strategically partner to accelerate AI Innovation
Clarifai, a global leader in AI development and a pioneer of the full-stack AI platform, is proud to announce a strategic partnership with Deepgram, a leader in automatic speech recognition (ASR)…
EDAN & GH Labs collaborate to develop AI-Enabled ultrasound devices
Edan Instruments, Inc. (300206.SZ), a leading global provider of medical and healthcare solutions, announces a collaboration with Global Health Labs, Inc. (GH Labs) to co-develop AI-enabled ultrasound devices. The collaboration aims…
Sarcos Robotics is now Palladyne AI
Rebranding Emphasizes New Focus on Brain over Brawn Palladyne AI is Commercializing Advanced AI Software that Enables Robots to Observe, Learn, Reason and Act Like Humans Sarcos Technology and Robotics…
Elon Musk’s xAI open-sources Grok
Elon Musk’s startup xAI has made its large language model Grok available as open source software. The 314 billion parameter model can now be freely accessed, modified, and distributed by…
Enhancing Industrial Anomaly Detection with RealNet: A Unified AI Framework for Realistic Anomaly Synthesis and Efficient Feature Reconstruction
In industrial image anomaly detection, self-supervised feature reconstruction methods show promise but still grapple with challenges such as generating realistic and diverse anomaly samples while mitigating feature redundancy and pre-training…
Panasonic Connect and Rapyuta Robotics to enhance warehouse efficiency
Rapyuta Robotics Co., Ltd. (Headquartered in Koto, Tokyo; CEO: Gajan Mohanarajah) and Panasonic Connect Co., Ltd. (Headquartered in Chuo, Tokyo; President and CEO: Yasuyuki Higuchi) announced a business partnership aimed…
This Machine Learning Research Presents ScatterMoE: An Implementation of Sparse Mixture-of-Experts (SMoE) on GPUs
A sparse Mixture of Experts (SMoEs) has gained traction for scaling models, especially useful in memory-constrained setups. They’re pivotal in Switch Transformer and Universal Transformers, offering efficient training and inference.…
Redefining Efficiency: Beyond Compute-Optimal Training to Predict Language Model Performance on Downstream Tasks
In artificial intelligence, scaling laws serve as useful guides for developing Large Language Models (LLMs). Like skilled directors, these laws coordinate models’ growth, revealing development patterns that go beyond mere…