Large language models (LLMs) have revolutionized the AI landscape, demonstrating remarkable capabilities across a wide range of tasks. Each new model seemingly reinforces the notion that modern ...

RANCHO SANTA MARGARITA, Calif., Sept. 30, 2025 (GLOBE NEWSWIRE) -- In today’s data-driven business landscape, inaccurate data causes more business risk than just IT problems. Melissa’s new research ...

Providers say claim denials are on the rise, with issues in data quality and the availability of technology driving the trend, a new survey shows. | Providers say claims denials are on the rise, with ...

AIGC is transforming agricultural decision-making by enabling automated recommendations in irrigation, fertilization, pest control, and market planning.

The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, leading to more robust and accurate problem-solving.

A federal watchdog flagged this week that nearly three dozen federal agencies did not consistently certify their procurement data as required, raising concerns about oversight of federal contract ...

These frustrations indicate a fundamental fracture in our healthcare system, one that I’ve observed firsthand in my own role.

Codeine is a controlled drug commonly prescribed to treat pain, but it comes with a number of side effects that could affect your personal health ...

Experts say they have no reason to mistrust the new data, but aspects of the rollout suggest the Education Department could struggle to maintain quality with fewer resources. The department disputes ...

Artificial intelligence is only as strong as the data that shapes it. Discover why high-quality data is the foundation for building AGI capable of curing diseases, advancing science, and transforming ...

The demand for data centers is growing faster than our ability to mitigate their skyrocketing economic and environmental costs ...

Many quality engineering teams struggle with AI because they adopt one-size-fits-all AI solutions that aren't tailored to the specific pain points of their teams.