Tag: Software

All the articles with the tag "Software".

• AI Squeeze: Software Companies Face Margin Pressure and Transformation by 2025

  Published:Apr 21, 2025 |  at 02:51 PM

  Software companies face rising costs due to AI, requiring them to transform their business models, adopt service-led approaches, and automate internal processes to maintain margins and competitiveness by 2025.

• AI's Impact on Software Engineering: A Matter of Evolution, Not Replacement?

  Published:Apr 21, 2025 |  at 11:23 AM

  The article discusses the ongoing debate about AI replacing software engineers. While AI can automate some tasks, human engineers are still needed for complex problems and creative solutions. Adaptability and upskilling are crucial.

• AI Platforms Reshaping Software Development: A New Era of Human Creativity?

  Published:Apr 19, 2025 |  at 11:37 PM

  AI platforms are transforming software development by automating tasks and boosting developer productivity. This shift promises faster development cycles, higher-quality software, and a focus on creative problem-solving.

• SoundHound AI's Q4 Earnings Show Mixed Results: Revenue Growth Offset by Losses

  Published:Apr 19, 2025 |  at 02:18 PM

  SoundHound AI's Q4 revenue exceeded expectations, demonstrating continued growth in their voice AI platform. Despite this, profitability remains a challenge, and the company's ability to execute its strategy in key sectors will be crucial for long-term success.

• Supreme Court to Hear Arguments on Patent Eligibility of Diagnostic Method Claims

  Published:Apr 19, 2025 |  at 02:08 PM

  The Supreme Court is poised to hear a case regarding the patent eligibility of diagnostic method claims, focusing on the "abstract idea" exception and the *Alice/Mayo* test. The outcome will significantly impact the patentability of many technologies.

• MIT Researchers Enhance AI Code Generation Accuracy with Formal Verification

  Published:Apr 18, 2025 |  at 01:35 PM

  MIT researchers have developed a system using formal verification to increase the accuracy and reliability of AI-generated code, potentially revolutionizing software development, especially in safety-critical areas.