Chinese researchers employ deep learning to enhance metalens image quality, unlocking its viability in versatile applications.
Musk’s plan to use Chinese data to train algorithms aligns with the country’s ambitions to lead in autonomous driving technologies.
OpenAI just announced new changes to ChatGPT’s data analysis feature. Users can now create customizable, interactive tables and charts with the AI chatbot’s help that they can later download for presentations and documents. They can also upload files to ChatGPT from Google Drive and Microsoft OneDrive.
However, not all ChatGPT users will gain access to the new data analysis features. The upgrade will roll out for ChatGPT Plus, Team, and Enterprise users over the coming weeks. The new data analysis capabilities will be available in GPT-4o, OpenAI’s new flagship model recently released as part of the company’s Spring Update.
Also: ChatGPT vs. ChatGPT Plus: Is a paid subscription still worth it?
Language models are taking a significant step forward in understanding and executing abstract concepts.
AI humanoid robot Sophia delivers a historic commencement speech at D’Youville University, marking a new era in education and technology.
A team of AI researchers at AWS AI Labs, Amazon, has found that most, if not all, publicly available Large Language Models (LLMs) can be easily tricked into revealing dangerous or unethical information.
In a May 15 paper released in the journal Physical Review Letters, Virginia Tech physicists revealed a microscopic phenomenon that could greatly improve the performance of soft devices, such as agile flexible robots or microscopic capsules for drug delivery.
The paper, written by doctoral candidate Chinmay Katke, assistant professor C. Nadir Kaplan, and co-author Peter A. Korevaar from Radboud University in the Netherlands, proposes a new physical mechanism that could speed up the expansion and contraction of hydrogels. For one thing, this opens up the possibility for hydrogels to replace rubber-based materials used to make flexible robots—enabling these fabricated materials to perhaps move with a speed and dexterity close to that of human hands.
Soft robots are already being used in manufacturing, where a hand-like device is programmed to grab an item from a conveyer belt—picture a hot dog or piece of soap—and place it in a container to be packaged. But the ones in use now lean on hydraulics or pneumatics to change the shape of the “hand” to pick up the item.
Elon Musk finally reveals when the Tesla Cybertruck is expected to receive the Full Self-Driving update.
AlphaFold 3 models all life’s molecules—proteins, DNA, RNA, and small molecules—and their interactions. The work could speed up science and drug discovery.
In March, we saw the launch of a “ChatGPT for music” called Suno, which uses generative AI to produce realistic songs on demand from short text prompts. A few weeks later, a similar competitor— Udio — arrived on the scene.
I’ve been working with various creative computational tools for the past 15 years, both as a researcher and a producer, and the recent pace of change has floored me. As I’ve argued elsewhere, the view that AI systems will never make “real” music like humans do should be understood more as a claim about social context than technical capability.
The argument “sure, it can make expressive, complex-structured, natural-sounding, virtuosic, original music which can stir human emotions, but AI can’t make proper music” can easily begin to sound like something from a Monty Python sketch.
