In the case of Microsoft and AI, that's not something being considered, as the software giant plans on spending $80 billion dollars on machine learning technology this year. Microsoft casually dropped the monstrously huge sum of money in a long-winded blog by Brad Smith,

Unlike AI, humans are shaped by diverse needs: navigating a 3D world, socializing, avoiding conflict, fighting when necessary, and building safe, equitable societies. AI systems, by contrast, are single-task specialists. Large language models are trained solely to generate coherent text, with no connection to broader reality or practical goals.

After nearly a decade of machine learning innovations, the FDA has issued its first draft guidance on the use of AI in drug development.

Palladyne AI (PDYN) is a software company specializing in automating robotic systems. It uses artificial intelligence (AI) and machine learning to alter the capabilities of its robots, allowing them to learn,

Artificial Intelligence (AI) has made significant strides in reshaping the educational landscape. Sandeep Kumar Nangunori, a thought leader in this field, highlights how AI-driven databases are setting new benchmarks in personalized learning and educational efficiency.

Writer, Safe Superintelligence and Physical Intelligence are among the startups to make CRN’s 10 AI Startup Companies To Watch In 2025.

Today’s retail and CPG organizations are already tapping into data analytics to understand their core customers.

The potential of using artificial intelligence in drug discovery and development has sparked both excitement and skepticism among scientists, investors and the general public.

Tech companies say “AI agents” are the next big thing in artificial intelligence after chatbots. Early versions have unresolved privacy and security flaws.

Today’s machine-learning algorithms simplify labor-intensive tasks like bid management and lead scoring while simultaneously refining audience targeting and optimizing ad copy in real time. This allows marketers to make smarter decisions, respond faster to trends and drive better business outcomes.

In today’s technological era, Namboodiri Arun Mullamangalath Kesavan, an innovator in network architecture, has developed groundbreaking insights into the integration of Artificial Intelligence (AI) within Secure Access Service Edge (SASE) frameworks.

As these platforms mature, we can expect to see increasingly sophisticated applications in fields such as healthcare, finance, and scientific research. The combination of blockchain's security and transparency with AI's analytical capabilities creates possibilities for solving complex problems in ways previously not possible.