AI Dev 26 x SF: Rethinking Software Development in the Age of AI

At the AI Dev 26 x SF conference, industry leaders gathered to discuss the evolving landscape of software development as AI takes center stage.

At the AI Dev 26 x SF conference, industry leaders gathered to discuss the evolving landscape of software development as AI takes center stage.

India's leading tech services firms report varied quarterly results amid the challenges posed by AI deflation, indicating a shift in their business models.

The emergence of AI capabilities is drastically altering the landscape of cybersecurity, leading to a near-zero exploit window for vulnerabilities.

As AI vendors tighten their grip, enterprises face mounting challenges in switching models and rising costs, revealing a complex landscape of dependencies.

A recent incident involving an AI coding agent highlights the risks associated with automated systems in software development.

A new browser extension leverages Transformers.js to enhance web navigation through local AI capabilities.

Samsung's mobile division may experience its first-ever net loss in the smartphone market due to rising component costs and increased competition.

MIT researchers have created MathNet, a groundbreaking dataset of over 30,000 math problems from 47 countries, aimed at enhancing AI capabilities and student training.

Anthropic has acknowledged a decline in the quality of responses from its AI model, Claude, due to a series of missteps in system adjustments and bugs.

MIT researchers have developed a new training method that enables AI models to express uncertainty, significantly improving their reliability in decision-making contexts.