Data
PathAI Chooses Digital Realty’s PlatformDIGITAL To Deploy AI Workloads
Digital Realty, a leading global provider of carrier- and cloud-neutral data center, colocation and interconnection solutions, announced that PathAI, a global provider of artificial intelligence (AI)-powered technology for use in pathology research, has selected Digital Realty’s data hub solution on PlatformDIGITAL® to deploy its AI workloads. PathAI’s platform uses machine learning and deep learning AI-based techniques to assist pathologists’ …
Unifiedpost And Google Collaborate On Document AI To Automate Procurement Data Capture
Belgian fintech company, Unifiedpost Group has deployed Procurement DocAI to process nearly 350 million invoices and other procure-to-pay docs per year, in 15 countries across Europe. Procurement DocAI, which was announced at Google Cloud Next OnAir, automates the capture of invoices, receipts and other procurement data at scale. It takes unstructured documents across a variety of formats and turns …
Top Tech Trends For 2021: Gartner Predicts Hyperautomation, AI And More Will Dominate Business Technology
Operational resiliency is key as the COVID-19 pandemic continues to change how companies will do business next year. There are nine top strategic technology trends that businesses should plan for in 2021 as the pandemic continues, according to Gartner’s analysts. Their findings were presented on Monday at the virtual Gartner IT Symposium/Xpo Americas conference, which runs …
The First AI Model That Translates 100 Languages Without Relying On English Data
Facebook AI is introducing, M2M-100 the first multilingual machine translation (MMT) model that translates between any pair of 100 languages without relying on English data. It’s open sourced here. When translating, say, Chinese to French, previous best multilingual models train on Chinese to English and English to French, because English training data is the most widely available. Our …
Machine Learning Uncovers Potential New TB Drugs
Machine learning is a computational tool used by many biologists to analyze huge amounts of data, helping them to identify potential new drugs. MIT researchers have now incorporated a new feature into these types of machine-learning algorithms, improving their prediction-making ability. Using this new approach, which allows computer models to account for uncertainty in the …
Facebook And Carnegie Mellon Launch The Open Catalyst Project To Find New Ways To Store Renewable Energy
Facebook AI and the Carnegie Mellon University (CMU) Department of Chemical Engineering are announcing the Open Catalyst Project, a collaboration intended to use AI to accelerate quantum mechanical simulations by 1,000x in order to discover new electrocatalysts needed for more efficient and scalable ways to store and use renewable energy. Wind and solar energy are …
Deliver AI-powered Application Search With Azure Cognitive Search And BA Insight
Data is growing exponentially, and over 80 percent of data is unstructured1, creating a challenge for organizations to find and surface the right information to their customers. What organizations need is a solution that enables them to uncover latent insights from all their content by quickly identifying relevant information and meaningful patterns. Knowledge mining is a …
How To Make The Best Use Of Your Drone Data: Be Prepared For It
Drones are great for collecting valuable data insights. But the amount of unstructured data can overwhelm your systems or go unused if you’re not prepared. Internet of Things (IoT) and visual data are what drones record and collect, but they also deliver unstructured big data. The net of this for companies interested in using drones for …
Retrieval Augmented Generation: Streamlining The Creation Of Intelligent Natural Language Processing Models
Teaching computers to understand how humans write and speak, known as natural language processing (NLP), is one of the oldest challenges in AI research. There has been a marked change in approach over the past two years, however. Where research once focused on developing specific frameworks for specific tasks, today powerful general-purpose language models can …
HPE Advances The Global Food System With CGIAR
HPE’s Memory-Driven Computing Sandbox helps CGIAR uncover insights by enabling the modeling of food systems Hewlett Packard Enterprise (HPE) announced a collaboration with global research partnership the CGIAR System Organization (CGIAR) to uncover insights about food security challenges, now intensified due to COVID-19. By applying HPE’s Memory-Driven Computing Sandbox to CGIAR’s data sets, HPE will help …