It’s been 8 years of phone AI chips — and they’re still wasting their potential

Eight years after the first mobile NPUs, fragmented tooling and vendor lock-in raise a bigger question: are dedicated AI ...
Asia News Network

Bangladesh launches first shared GPU cloud facility to boost AI, research

DHAKA – Bangladesh has launched its first government-run, shareable cloud computing facility powered by high-performance graphics processing units (GPUs), aiming to accelerate higher education, ...
IEEE

When Bayesian Tensor Completion Meets Multioutput Gaussian Processes: Functional Universality and Rank Learning

Abstract: Functional tensor decomposition can analyze multidimensional data with real-valued indices, paving the path for applications in machine learning and signal processing. A limitation of ...
AOL

Is Alphabet Really a Threat to Nvidia's AI Chip Dominance?

Nvidia controls around 90% of the AI accelerator market, but that dominance may have peaked. Alphabet's TPU chips offer significant cost advantages for inference workloads, which are growing faster ...
GEN

Machine-Learning-Assisted mAb Yield Improvement

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...
Frontiers

Machine learning-assisted tongue image analysis for the diagnosis of Hashimoto’s thyroiditis

Objective: This study aims to evaluate the value of a machine learning model based on tongue features in the adjunctive diagnosis of Hashimoto’s thyroiditis (HT) and its concomitant hypothyroidism.
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Electronic Design

Basics of Design: What is TensorFlow?

TensorFlow was created simply to develop your own machine-learning (ML) models. You might even experience it daily and not know it, like recommendation systems that suggest the next YouTube video, ...
Frontiers

Deep learning-based image reconstruction benefits diffusion tensor imaging for assessing severity of depression

Objective: This study aimed to evaluate whether deep learning-based image reconstruction (DLR) improves the accuracy of diffusion tensor imaging (DTI) measurements used to assess the severity of ...