Blake has over a decade of experience writing for the web, with a focus on mobile phones, where he covered the smartphone boom of the 2010s and the broader tech scene. When he's not in front of a ...

You will be redirected to our submission process. This Research Topic is associated with ISPS 2025 ISPS 2025, convening in Shanghai, China, on October 29-1 November 2025. To submit an article, the ...

Dysphagia frequently co-occurs with cognitive impairment, suggesting that swallowing may involve cognitive processes. However, the relationship between cognitive load and swallowing performance ...

Leah Solivan built Taskrabbit from a recession-era idea into one of the companies that helped define the gig economy. Then she sold it to Ikea in what she describes as a tearful, unanimous board vote.

Anthropic is trialling a feature that lets users send prompts to Claude from a smartphone. Claude will complete the task on its own on a person's computer. Anthropic's product underscores its push ...

Anthropic PBC wants users to give Claude the keys to their computer, announcing new “computer use” functionality for its artificial intelligence assistant so it can now click, scroll and navigate ...

Anthropic has updated its Claude Cowork and Claude Code tools to let them autonomously carry out tasks on your PC. Without the need for any additional setup, these tools can interact with your screen ...

OpenAI has introduced ChatGPT 5.4, a new model that expands the boundaries of artificial intelligence with notable updates in functionality and scope. One key feature is its 1-million-token context ...

AI agents speed up tasks while allowing people to focus on other complicated tasks. Perplexity, for instance, has caught up in this game by unveiling its newest AI agent named "Computer." The ...

Perplexity has introduced “Computer,” a new tool that allows users to assign tasks and see them carried out by a system that coordinates multiple agents running various models. The company claims that ...

Abstract: This study explores the efficacy of fine-tuning large language models (LLMs) using non-task-specific datasets, challenging the traditional reliance on task-specific datasets. Based on the ...