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  • US Chief Justice cautiously optimistic about AI use in law

    US Chief Justice John Roberts expressed cautious optimism in his year-end report about AI’s increasing role in the legal system. He highlighted the benefits of previous technological advancements and the potential for AI to democratize access to legal services. Despite acknowledging AI’s value in legal research, he stressed the need for caution and human involvement…

    2024-01-01
    AI Tech News
  • Samsung’s AI Powered Fridge Sees Your Food and Cooks Up Recipes

    Samsung Electronics is introducing a revolutionary kitchen innovation at CES 2024 – the Bespoke 4-Door Flex Refrigerator with AI Family Hub+1 technology. This smart fridge uses advanced AI Vision Inside to recognize 30+ types of fresh foods, suggest personalized recipes, and integrate with other Samsung kitchen appliances. It represents a leap into a future where…

    2024-01-01
    AI Tech News
  • How to Use Character.ai (Ultimate Beginners Guide)

    Character.ai is a unique AI tool that allows users to interact with real and fictional characters using chatbots. Popular among users over 20, it offers both free and paid subscription models, with a significant user base spending around two hours per session. Created by AI pioneers, the platform’s growth potential has attracted substantial funding and…

    2024-01-01
    AI Tech News
  • Microsoft Researchers Unveil CodeOcean and WaveCoder: Pioneering the Future of Instruction Tuning in Code Language Models

    Microsoft researchers have unveiled CodeOcean, a new method to improve instruction data quality for fine-tuned models. The approach involves categorizing instruction data into four code-related tasks and using WaveCoder models for tuning. This enhances the generalization ability of Code Language Models (LLMs) and sets new benchmarks in code-related tasks. Read the full paper for more…

    2024-01-01
    AI Tech News
  • This Paper Introduces InsActor: Revolutionizing Animation with Diffusion-Based Human Motion Models for Intuitive Control and High-Level Instructions

    InsActor, a novel framework developed by researchers, revolutionizes physics-based character animation by bridging the gap between high-level human instructions and realistic character motions. It employs a unique two-tier approach utilizing diffusion-based human motion models, demonstrating superior performance in generating lifelike animations. InsActor’s innovative method sets a new standard in digital animation.

    2024-01-01
    AI Tech News
  • AI has lower carbon emissions than human writers and artists

    The rapid growth of AI technology has led to a significant demand for natural resources in running data centers, raising concerns about its contribution to carbon emissions. Although AI training and inference processes strain resources, it is seen as a vital tool for promoting sustainability. Research indicates that AI may have lower carbon emissions than…

    2024-01-01
    AI Tech News
  • This AI Paper from NVIDIA Proposes Compact NGP (Neural Graphics Primitives): A Machine Learning Framework Corresponding Hash Tables with Learned Probes for Optimal Speed and Compression

    Compact NGP, a machine-learning framework proposed by NVIDIA and the University of Toronto, merges speed from hash tables with index learning efficiency to achieve optimal collision detection. Tailored for content distribution, it balances compression overhead while ensuring low-cost decoding and versatile compression rates. Its evaluation demonstrates superior performance in real-world scenes compared to contemporary techniques.

    2024-01-01
    AI Tech News
  • This Paper Unveils ‘Mach’ (Make-A-Character): Revolutionizing 3D Character Creation with Machine Learning for the AI and Metaverse Era

    Mach is a new system by researchers from the Institute for Intelligent Computing and Alibaba Group, simplifying 3D avatar creation using advanced language and vision models. It transforms text descriptions into detailed avatars, while Triplane enhances geometry generation and diffusion texture extraction. The study showcases expressive avatars achieved through stable diffusion models and dense facial…

    2024-01-01
    AI Tech News
  • This Paper Explores AI-Driven Hedging Strategies in Finance: A Deep Dive into the Use of Recurrent Neural Networks and k-Armed Bandit Models for Efficient Market Simulation and Risk Management

    Artificial intelligence is widely used in finance for managing risks associated with derivative contracts. A recent study explored the application of reinforcement learning (RL) agents in hedging derivative contracts, addressing challenges with data scarcity and model selection. The study demonstrates the model’s outperformance in terms of efficiency, adaptability, and accuracy, aligning with real-world investment firms’…

    2024-01-01
    AI Tech News
  • Do Language Models Know When They Are Hallucinating? This AI Research from Microsoft and Columbia University Explores Detecting Hallucinations with the Creation of Probes

    Large Language Models (LLMs), using deep learning techniques, perform various NLP and NLG tasks. Recent research by Microsoft and Columbia University focuses on detecting hallucination in language models, introducing probes and a dataset for efficient detection, while exploring factors affecting probe accuracy. The study contributes three probe architectures and a dataset of tagged utterances.

    2024-01-01
    AI Tech News
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