Below are excerpts of the latest Machine Learning news found online, copyrighted and direct link to their respective authors. Found, selected, and sorted. Any problem or additional source you would like to include here, please contact us.
- Arm launches new chips for faster smartphone performance during Computex Just ahead of CEO Rene Haas’ keynote at Computex in Taipei today, Arm launched two new products designed to increase smartphone performance. The first is the Arm Cortex-X4, its fourth-generation Cortex-X core. Arm said the Cortex-X4 is the fastest CPU it is made so far and will bring 15% more...
- AI, ML & Data News Roundup: Generative Fill, Copilot, Aria, and Brain Chips The most recent update, covering the week starting May 22nd, 2023, encompasses the latest progress and declarations in the fields of data science, machine learning, and artificial intelligence. This week, the focus is on prominent figures such Adobe, Microsoft, Opera, and the University of Lausanne. By Daniel Dominguez...
- AI Battles Superbugs: Helps Find New Antibiotic Drug To Combat Drug-Resistant In... The machine-learning algorithm identified a compound that kills Acinetobacter baumannii, a bacterium that lurks in many hospital settings. Using an artificial intelligence algorithm, researchers at......
- Trends and Challenges Towards an Effective Data-Driven Decision Making in UK SME... The adoption of data science brings vast benefits to Small and Medium-sized Enterprises (SMEs) including business productivity, economic growth, innovation and jobs creation. Data Science can support SMEs to optimise production processes, anticipate customers' needs, predict machinery failures and deliver efficient smart services. Businesses can also harness the power of...
- Entropy-Aware Similarity for Balanced Clustering: A Case Study with Melanoma Det... Clustering data is an unsupervised learning approach that aims to divide a set of data points into multiple groups. It is a crucial yet demanding subject in machine learning and data mining. Its successful applications span various fields. However, conventional clustering techniques necessitate the consideration of balance significance in specific...
- Task-aware Distributed Source Coding under Dynamic Bandwidth. (arXiv:2305.15523v... Efficient compression of correlated data is essential to minimize communication overload in multi-sensor networks. In such networks, each sensor independently compresses the data and transmits them to a central node due to limited communication bandwidth. A decoder at the central node decompresses and passes the data to a pre-trained machine...
- Machine learning-assisted close-set X-ray diffraction phase identification of tr... Machine learning has been applied to the problem of X-ray diffraction phase prediction with promising results. In this paper, we describe a method for using machine learning to predict crystal structure phases from X-ray diffraction data of transition metals and their oxides. We evaluate the performance of our method and...
- Electric cars are better for the environment, no matter the power source An Ioniq 6 electric vehicle. HyundaiExperts say that across the board, EVs are a win compared to similar gas-powered vehicles. The post Electric cars are better for the environment, no matter the power source appeared first on Popular Science....
- Applied Intuition to buy autonomous trucking SPAC Embark for $71M Embark Trucks, the autonomous trucking company that recently cut 70% of its workforce, is being acquired by Applied Intuition, a simulation and software provider for autonomous vehicle development. The all-cash transaction has an equity value of about $71 million, according to the companies. Embark went public in 2021 via a...
- Energy Breakthrough – Machine Learning Unravels Secrets of Argyrodites The utilization of machine learning techniques unveils valuable insights into a broad category of materials under investigation for solid-state batteries. Researchers from Duke University and......
- Using AI, scientists find a drug that could combat drug-resistant infections The machine-learning algorithm identified a compound that kills Acinetobacter baumannii, a bacterium that lurks in many hospital settings....
- The five key benefits of AIOps and automation How AIOps can help your IT staff move from a “break-fix” approach to one that’s more predictive and proactive. The post The five key benefits of AIOps and automation appeared first on IBM Blog....