What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the ...

Laser-based metal processing enables the automated and precise production of complex components, whether for the automotive industry or for medicine. However, conventional methods require time- and ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...

Wonder what is really powering your ChatGPT or Gemini chatbots? This is everything you need to know about large language ...

Laser-based processes for metals are considered to be particularly versatile in industry. Lasers can be used, for example, to ...

Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...

Classical AI is not a competitor to quantum; it’s a critical enabling technology for realizing quantum’s potential.

DevOps and MLOps have similar automation, versioning, and deployment goals, but they rely on separate tools and processes.

Affirm leads BNPL with strong growth but faces risks from high leverage and an asset-heavy model, making its valuation ...

Researchers have developed a machine learning model called DreaMS, which significantly accelerates the analysis of previously unknown molecules. The study is published in Nature Biotechnology.

In my opinion, the future belongs instead to hyperspecialized AI models that are tailored to excel in hyper-specific domains.