Artificial Intelligence
Physicists have developed a new type of neural network using active colloidal particles instead of electricity. This physical system shows promise for artificial intelligence and time series prediction, offering an alternative to traditional microelectronic chip-based digital calculations.
Millions witnessed nonconsensual deepfake pornography of Taylor Swift on social media platform X, prompting the platform to block searches for her. Generating deepfakes with AI has made it easier to sexually harass people. The fight against nonconsensual deepfakes includes using watermarks, protective shields for images, and stricter regulations to hold perpetrators accountable and protect victims.
In September 2022, former Google AI experts Noam Shazeer and Daniel De Freitas released Character.AI, an advanced chatbot. By May 2023, the app had over 1.7 million downloads and high user engagement. As of 2024, it boasts 20 million global users, with 60% aged 18-24. The app’s success raises concerns about mental health support and…
The late comedian George Carlin’s estate is suing the creators of an AI-generated video impersonating Carlin, claiming copyright infringement and violation of Carlin’s right to publicity. It was initially believed that the show was created by an AI, but the creators have stated that it was actually written by a human. The lawsuit raises questions…
Researchers from The Wharton School explored methods to enhance GPT-4’s creativity in idea generation. Experimenting with various prompting strategies, they found that longer prompts and Chain of Thought (CoT) instructions resulted in more diverse ideas. While GPT-4’s ideas were initially similar, strategic prompting improved diversity, making it a valuable tool in brainstorming.
Research on fitness landscapes in evolutionary biology explores the challenge of mapping and understanding the relationship between genotypes and an organism’s fitness. Conventional methods for assessing this complex relationship are limited, prompting the use of deep learning models to predict and analyze fitness. These innovative approaches offer a more scalable and efficient means of studying…
The web is a vast source of knowledge constantly changing, posing challenges for accurate information retrieval. Language models like chatGPT add complexity, leading to research on Retrieval Augmented Language Models (RALMs). San Jose State University proposed TempRALM, using temporal retrieval to enhance Atlas, outperforming it by 74% with fewer resources. Future applications include fact-checking and…
Alibaba researchers introduce DITTO, a self-alignment method enhancing large language models’ role-play capabilities, addressing the limitations of open-source models compared to proprietary ones. Leveraging extensive character knowledge, DITTO outperforms existing baselines, showcasing proficiency in multi-turn role-play conversations. The method opens new possibilities for LLM applications, marking a significant advancement in the field.
Researchers from KAIST and the University of Washington have developed ‘LANGBRIDGE,’ a zero-shot approach to adapting language models for multilingual reasoning tasks without requiring explicit multilingual training data. By combining specialized models and leveraging language-agnostic multilingual representations, LANGBRIDGE significantly enhances language models’ performance on low-resource languages across various reasoning tasks.
StreamVoice, a new streaming language model, offers real-time zero-shot voice conversion (VC) without the need for complete source speech. Developed by researchers from Northwestern Polytechnical University and ByteDance, the model employs a fully causal context-aware LM and utilizes teacher-guided context foresight and semantic masking strategies. StreamVoice achieves high speaker similarity and exhibits 2.4 times faster…
Vision-language models (VLMs) provide significant AI advancements but face limitations in spatial reasoning. Google researchers introduce SpatialVLM to enhance VLMs’ spatial abilities using enriched spatial data. SpatialVLM outperforms other VLMs in spatial reasoning and quantitative estimations, showing potential in robotics. This represents a noteworthy advance in AI technology. [Summary: 50 words]
AI deep fakes, created by advanced technology, blur the line between reality and fiction, making it challenging to distinguish authentic content from manipulated media. This has prompted concerns about their potential impact on democratic processes, as numerous incidents involving political figures around the world continue to escalate in frequency and severity.
A study by Canva and Sago shows that 45% of job seekers globally use AI to enhance their resumes. Surprisingly, 90% of hiring managers find this practice appropriate, with nearly half embracing AI’s use for interview content creation. It’s predicted that traditional text-only resumes may become obsolete in the near future. Additionally, research confirms that…
Midjourney offers AI image generation for customizable wall art, with a variety of styles available such as Ukrainian Folk Art, Eero Aarnio, Huichol Art, Victorian Era Cabinet Card, Yu-Gi-Oh, Joost Swarte, Dana Trippe, Marcel Janco, Milo Manara, and Nina Chanel Abney. These prompts help create unique and personalized AI wall art for your space.
The LangGraph library addresses the need for applications to maintain ongoing conversations, remember past interactions, and make informed decisions. It utilizes language models and supports cyclic data flow, enabling the creation of complex and responsive agent-like behaviors. This innovative approach streamlines development and opens new possibilities for crafting intelligent applications.
Adept AI researchers have introduced Fuyu-Heavy, a new multimodal model designed for digital agents. It is the world’s third-most-capable multimodal model, demonstrating commendable performance. The development faced challenges due to its scale but showed effectiveness in conversational AI. Researchers aim to enhance its base-model capabilities and connect it to build reliable products. Source: MarkTechPost.
Large-scale multilingual language models form the basis of many cross-lingual and non-English NLP applications. However, their use leads to a performance decline in individual languages due to inter-language competition for model capacity. To address this, researchers from the University of Washington, Charles University, and the Allen Institute propose Cross-lingual Expert Language Models (X-ELM), which aim…
Researchers from ETH Zurich, Google, and Max Planck Institute propose West-of-N, a novel strategy to improve reward model performance in RLHF. By generating synthetic preference data, the method significantly enhances reward model accuracy, surpassing gains from human feedback and other synthetic generation methods. The study showcases the potential of Best-of-N sampling and semi-supervised learning for…
Language models like GPT-4 are powerful but sometimes produce inaccurate outputs. Stanford and OpenAI researchers have introduced “meta-prompting,” enhancing these models’ capabilities. It involves breaking down complex tasks for specialized “expert” models within the LM framework. Meta-prompting, along with a Python interpreter, outperforms traditional methods, marking a significant advancement in language processing.
The text discusses the significance of foundation models like Large Language Models, Vision Transformers, and multimodal models in reshaping AI applications. These models, while versatile, require substantial resources for development and deployment. Research is focused on developing more resource-efficient strategies to minimize their environmental impact and cost, while maintaining performance.