Research
AI Acts Differently When It Knows It’s Being Tested, Research Finds
Echoing the 2015 ‘Dieselgate’ scandal, new research suggests that AI language models such as GPT-4, Claude, and Gemini may change their behavior during tests, sometimes acting ‘safer’ for the test than they would in real-world use. If LLMs habitually adjust their behavior under scrutiny, safety audits could end up certifying systems that behave very differently…
Fine-tuning vs. in-context learning: New research guides better LLM customization for real-world tasks
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford University explored the generalization capabilities of these two…
OpenAI unveils Responses API, open source Agents SDK, letting developers build their own Deep Research and Operator
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI is rolling out a new suite of APIs and tools designed to help developers and enterprises build AI-powered agents more efficiently. These are delivered atop some of the very same technology powering its own first-party…
Experts don’t think AI is ready to be a ‘co-scientist’ | TechCrunch
Last month, Google announced the “AI co-scientist,” an AI the company said was designed to aid scientists in creating hypotheses and research plans. Google pitched it as a way to uncover new knowledge, but experts think it — and tools like it — fall well short of PR promises. “This preliminary tool, while interesting, doesn’t…
This AI Paper from Menlo Research Introduces AlphaMaze: A Two-Stage Training Framework for Enhancing Spatial Reasoning in Large Language Models
Artificial intelligence continues to advance in natural language processing but still faces challenges in spatial reasoning tasks. Visual-spatial reasoning is fundamental for robotics, autonomous navigation, and interactive problem-solving applications. AI systems must effectively interpret structured environments and execute sequential decisions to function in these domains. While traditional maze-solving algorithms, such as depth-first search and A*,…
25+ Interview Question and answers for Research and Development Engineer
In this article, we have listed Interview Questions and Answers for Research and Development Engineer Job opportunities. These Research and Development Engineer Interview Question Answers are divided into various categories which will help you crack Interviews and secure your job. All the categories and questions are listed below, click and explore the l/topic – Interview…
Microsoft AI Research Introduces MVoT: A Multimodal Framework for Integrating Visual and Verbal Reasoning in Complex Tasks
The study of artificial intelligence has witnessed transformative developments in reasoning and understanding complex tasks. The most innovative developments are large language models (LLMs) and multimodal large language models (MLLMs). These systems can process textual and visual data, allowing them to analyze intricate tasks. Unlike traditional approaches that base their reasoning skills on verbal means,…
AlphaProteo generates novel proteins for biology and health research
Research Published 5 September 2024 Authors Protein Design and Wet Lab teams New AI system designs proteins that successfully bind to target molecules, with potential for advancing drug design, disease understanding and more. Every biological process in the body, from cell growth to immune responses, depends on interactions between molecules called proteins. Like a key…
Need a research hypothesis? Ask AI.
Crafting a unique and promising research hypothesis is a fundamental skill for any scientist. It can also be time consuming: New PhD candidates might spend the first year of their program trying to decide exactly what to explore in their experiments. What if artificial intelligence could help? MIT researchers have created a way to autonomously…
Monetizing Research for AI Training: The Risks and Best Practices
As the demand for generative AI grows, so does the hunger for high-quality data to train these systems. Scholarly publishers have started to monetize their research content to provide training data for large language models (LLMs). While this development is creating a new revenue stream for publishers and empowering generative AI for scientific discoveries, it…