To stay up to date and work forward in their fields, scientists must have at their fingertips and in their minds thousands of published studies. Large language models (LLMs) show promise as a tool for ...
My prediction is that ‘world models’ will be the next buzzword,” AMI Labs CEO Alexandre LeBrun told TechCrunch. “In six months, every company will call itself a world model to raise funding.” ...
Existing research on AI for mental health has many limitations. A new study shows this. Yet research is vital, so we must recalibrate. An AI Insider scoop.
Abstract: In recent years, the accuracy of automatic speech recognition (ASR) for major languages has been greatly improved by pre-training methods using large spoken language resources. However, ...
The rivalry between Qwen 3.5 and Sonnet 4.5 highlights the shifting priorities in large language model development. Qwen 3.5, ...
In part 2 of the LLM series, we explore why industry leaders believe the objective now is to influence the entire search ...
New findings highlight the structural and technical signals that influence how LLMs interpret and reference brands in AI search.Israel, ...
Debates about AI used for mental health advice are often hiding the reality of a quantity versus quality consideration. Here's the true story. An AI Insider scoop.
Large language models (LLMs), artificial intelligence (AI) systems that can process human language and generate texts in ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
A major difference between LLMs and LTMs is the type of data they’re able to synthesize and use. LLMs use unstructured data—think text, social media posts, emails, etc. LTMs, on the other hand, can ...
According to the 2025 Microsoft AI Diffusion Report approximately one in six people globally had used a generative AI product. Yet for billions of people, the promise of voice interaction still falls ...