Using a superconducting quantum computer, physicists created a large and complex version of an odd quantum material that has ...
Structure Therapeutics’ stock soared toward an 18-month high in early Monday trading, after mid-stage data for its oral daily GLP-1 receptor appeared comparable to that of one of Eli Lilly’s ...
The Bureau of Economic Analysis released its personal consumption expenditures price index data for September earlier today. Here is the report, at a glance: Core YoY: 2.8% increase, in line with ...
Reinsurer Swiss Re streams near-real-time flood maps into its catastrophe-risk services, accelerating its claims processing and disaster response. Cargill, the Minnesota-based agribusiness company, ...
Data centers have a unique opportunity to promote large-scale change in sustainable waste management by adopting a circular model for their packaging materials. Specialized Packaging Group CEO Paul ...
Sept 10 (Reuters) - Construction spending on U.S. data centers reached an all-time high of $40 billion at a seasonally adjusted annual rate in June, as technology giants continue pouring billions into ...
An AT&T logo is seen on Aug. 17, 2025. An AT&T logo is seen on Aug. 17, 2025.Jonathan Raa—Getty Images. Reporter AT&T customers in the United States could be entitled to up to $7,500 after the ...
BRUNSWICK COUNTY, N.C. (WECT) - Brunswick Electric Membership Corporation (BEMC) has announced it is transitioning to a time-based rate structure later this year. According to BEMC, the transition ...
Pure Storage’s Enterprise Data Cloud Helps AI Workloads Bypass Infrastructure Complexity Your email has been sent “Pure’s Enterprise Data Cloud represents a tangible shift in how enterprises manage ...
CEO of Scale AI Alexandr Wang testifies on July 18, 2023 in Washington, DC. Correspondent Meta’s $14.3 billion investment in Scale AI, the leading player in the AI data industry, was a very strange ...
Abstract: In response to the increasing complexity of tasks in artificial intelligence, broad learning systems (BLSs) have emerged as essential tools, especially given the limitations of deep neural ...
Time-series data—measurements collected over time like stock prices or heart rates—plays a vital role in AI forecasting systems across industries. As these systems advance, the need for time-series ...
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