Memory and new controls for ChatGPT
We’re testing the ability for ChatGPT to remember things you discuss to make future chats more helpful. You’re in control of ChatGPT’s memory.
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Google AI Presents Lumiere: A Space-Time Diffusion Model for Video Generation
Recent advancements in generative models for text-to-image (T2I) tasks have led to impressive results in producing high-resolution, realistic images from textual prompts. However, extending this capability to text-to-video (T2V) models poses challenges due to the complexities introduced by motion. Current T2V models face limitations in video duration, visual quality, and realistic motion generation, primarily due…
Researchers from KAIST and the University of Washington have introduced ‘LANGBRIDGE’: A Zero-Shot AI Approach to Adapt Language Models for Multilingual Reasoning Tasks without Multilingual Supervision
Language models (LMs) often struggle with reasoning tasks like math or coding, particularly in low-resource languages. This challenge arises because LMs are primarily trained on data from a few high-resource languages, leaving low-resource languages underrepresented. Previously, researchers have addressed this by continually training English-centric LMs on target languages. However, this method is difficult to scale…
A New AI Paper from UC Berkeley Introduces Anim-400K: A Large-Scale Dataset for Automated End-To-End Dubbing of Video in Japanese and English
ByWeb Dev
There has been a notable discrepancy between the global distribution of language speakers and the predominant language of online material, which is English. Even while English is used in up to 60% of internet information, only 18.8% of people worldwide speak it, and just 5.1% of people use it as their first language. For non-English…
Researchers from the Tokyo Institute of Technology Introduce ProtHyena: A Fast and Efficient Foundation Protein Language Model at Single Amino Acid Resolution
Proteins are essential for various cellular functions, providing vital amino acids for humans. Understanding proteins is crucial for human biology and health, requiring advanced machine-learning models for protein representation. Self-supervised pre-training, inspired by natural language processing, has significantly improved protein sequence representation. However, existing models need help handling longer sequences and maintaining contextual understanding. Strategies…
AI News Weekly – Issue #377: Next in AI : Pioneers’ Predictions! – Mar 21st 2024
Powered by global.ntt In the News 3 tech pioneers on the biggest AI breakthroughs – and what they expect will come next Three leading experts in AI spoke to the World Economic Forum in a series of interviews. Mustafa Suleyman, Aidan Gomez and Yann LeCun anticipate profound societal impacts from generative AI and LLM, including…
Researchers from CMU, Bosch, and Google Unite to Transform AI Security: Simplifying Adversarial Robustness in a Groundbreaking Achievement
In a remarkable breakthrough, researchers from Google, Carnegie Mellon University, and Bosch Center for AI have a pioneering method for enhancing the adversarial robustness of deep learning models, showcasing significant advancements and practical implications. To set a headstart, the key takeaways from this research can be placed around the following points: Effortless Robustness through Pretrained…
