machine

Latest Machine Learning Research Offers FP8 Binary Swap Format: A Natural Progression to Accelerate Deep Learning Inference

Latest Machine Learning Research Offers FP8 Binary Swap Format: A Natural Progression to Accelerate Deep Learning Inference

Leave a Comment / Artificial intelligence / By

To meet the growing computational needs of neural networks, AI processing requires comprehensive innovation across hardware and software platforms. Using lower precision digital formats to increase computational efficiency, reduce memory usage, and optimize interconnect bandwidth is a crucial area for improving efficiency. The researchers believe that having a standard interchange format will promote the rapid …

Latest Machine Learning Research Offers FP8 Binary Swap Format: A Natural Progression to Accelerate Deep Learning Inference Read More »

Post-Stroke Respiratory Complications Using Machine Learning with Voice Capabilities from Mobile Devices – Scientific Reports

Leave a Comment / Mobile / By

Warnecke, T. et al. Neurogenic dysphagia: systematic review and proposal of a classification system. Neurology 96e876–e889 (2021). CAS PubMed Google Scholar Armstrong, JR & Mosher, BD Aspiration pneumonia after stroke: intervention and prevention. Neurohospitalist 185–93 (2011). Google Scholar article Park, HY et al. Potential prognostic impact of dopamine D1 receptor (rs4532) polymorphism on post-stroke outcomes …

Post-Stroke Respiratory Complications Using Machine Learning with Voice Capabilities from Mobile Devices – Scientific Reports Read More »

A new approach to machine learning could make chaos more predictable

A new approach to machine learning could make chaos more predictable

Leave a Comment / Artificial intelligence / By

The vast digit-processing capabilities of AI systems mean we can better predict the future of chaotic systems based on fewer and fewer patterns from the past – and a new algorithm adds even more precision to the process. Developed using next-generation reservoir computing techniques, which take a more dynamic and faster approach to machine learning, …

A new approach to machine learning could make chaos more predictable Read More »

PhD Researcher (PhD Student), Machine Learning in Reactive Transport Modeling job with UNIVERSITY OF EASTERN FINLAND | 311505

PhD Researcher (PhD Student), Machine Learning in Reactive Transport Modeling job with UNIVERSITY OF EASTERN FINLAND | 311505

Leave a Comment / Artificial intelligence / By

The University of Eastern Finland is inviting applications for a PhD Research Position in Machine Learning in Reactive Transport Modeling at the Department of Applied Physics at Kuopio Campus. The position will be filled for a fixed term of four years starting January 1, 2023 (or agreed start date). Please find more information below and …

PhD Researcher (PhD Student), Machine Learning in Reactive Transport Modeling job with UNIVERSITY OF EASTERN FINLAND | 311505 Read More »

The Truth About 'Lie Detector' AI and Machine Learning Disclosure Analysis

The Truth About ‘Lie Detector’ AI and Machine Learning Disclosure Analysis

Leave a Comment / Artificial intelligence / By

In most cases, effective communication is intuitive – you know it when you hear it. As an IR professional, you are probably a natural communicator in your day-to-day life and investors are, after all, just people. But what does an effective message look like when your audience is a machine? Investors are increasingly adopting advanced …

The Truth About ‘Lie Detector’ AI and Machine Learning Disclosure Analysis Read More »

Expert Insights: How to Protect Sensitive Machine Learning Training Data Without Getting Bored

Expert Insights: How to Protect Sensitive Machine Learning Training Data Without Getting Bored

Leave a Comment / Artificial intelligence / By

Previous columns in this series have introduced the problem of data protection in machine learning (ML), highlighting the real challenge posed by operational query data. That is, when you use an ML system, you’re likely facing more data exposure risks than when you train one in the first place. By my rough estimate, data accounts …

Expert Insights: How to Protect Sensitive Machine Learning Training Data Without Getting Bored Read More »

Arctoris welcomes on board world-renowned experts in machine learning, chemical computing and Alzheimer's disease

Arctoris welcomes on board world-renowned experts in machine learning, chemical computing and Alzheimer’s disease

Leave a Comment / Artificial intelligence / By

OXFORD, England–(BUSINESS WIRE)–Arctoris Ltd, a technology-based biopharmaceutical platform company, has named three globally recognized experts in Alzheimer’s disease, machine learning applied to closed-loop discovery and automated chemistry as as members of its Scientific Advisory Board: Professor John Davis (University of Oxford), Professor Rafael Gómez Bombarelli (MIT) and Dr Teodoro Laino (IBM Research). “We are delighted …

Arctoris welcomes on board world-renowned experts in machine learning, chemical computing and Alzheimer’s disease Read More »

Arctoris welcomes on board world-renowned experts in machine learning, chemical computing and Alzheimer's disease

Arctoris welcomes on board world-renowned experts in machine learning, chemical computing and Alzheimer’s disease

Leave a Comment / Artificial intelligence / By

OXFORD, England–(BUSINESS WIRE)–Arctoris Ltd, a technology-based biopharmaceutical platform company, has named three globally recognized experts in Alzheimer’s disease, machine learning applied to closed-loop discovery and automated chemistry as as members of its Scientific Advisory Board: Professor John Davis (University of Oxford), Professor Rafael Gómez Bombarelli (MIT) and Dr Teodoro Laino (IBM Research). “We are delighted …

Arctoris welcomes on board world-renowned experts in machine learning, chemical computing and Alzheimer’s disease Read More »

Machine Learning in Retail: The Basics and 10 Key Applications

Machine Learning in Retail: The Basics and 10 Key Applications

Leave a Comment / Artificial intelligence / By

In recent years, between shutdowns, curfews, supply chain disruptions and energy shortages, retailers must have felt like dinosaurs trying to dodge an asteroid shower and avoid extinction. But unlike those giant prehistoric reptiles, the retail trade could count on an array of technological innovations to better meet the challenges of these difficult times. One of …

Machine Learning in Retail: The Basics and 10 Key Applications Read More »

Peking University Researchers Open-Source "CircuitNet", a Dataset for Machine Learning Applications in Electronic Design Automation (EDA)

Peking University Researchers Open-Source “CircuitNet”, a Dataset for Machine Learning Applications in Electronic Design Automation (EDA)

Leave a Comment / Artificial intelligence / By

Electronic design automation (EDA), often known as computer-aided design (CAD), is a class of software tools used to create electronic systems such as integrated circuits (ICs). EDA tools allow designers to create a design for large-scale integrated (VLSI) chips with billions of transistors. Due to the size and complexity of today’s electronic systems, EDA tools …

Peking University Researchers Open-Source “CircuitNet”, a Dataset for Machine Learning Applications in Electronic Design Automation (EDA) Read More »