The concept of algocracy, or governance by algorithm, is becoming increasingly prevalent as algorithmic and machine learning systems are implemented in government and public sectors. This form of governance utilizes AI, blockchain, and algorithms to make decisions. While there are potential benefits in terms of efficiency, there are also concerns regarding transparency, bias, and the…
Researchers from MIT, the MIT spinout Inkbit, and ETH Zurich have developed a new 3D inkjet printing system that uses computer vision to adjust the amount of resin each nozzle deposits in real-time. This contactless system allows for the use of materials that cure more slowly than traditional acrylates, enabling the fabrication of complex devices…
Microsoft CEO Satya Nadella recently made surprise appearances at two developer conferences in San Francisco to showcase new AI-powered tools. He emphasized the company’s focus on developers and its aim to make AI tools more accessible and promote creativity. Nadella discussed the partnership with OpenAI and the platform shift to natural language AI tools. He…
Venture capital firm Andreessen Horowitz, or a16z, has invested in the generative AI platform Civitai, which allows users to share AI-generated art and resources. However, some resources on Civitai are being used to create nonconsensual porn. The platform’s “Bounties” option has led to requests for AI models to generate explicit images of celebrities and private…
The AI industry has a history of labor exploitation, with young individuals from impoverished backgrounds being drawn to online platforms for flexible work and higher wages. However, this exposes them to harmful content, leading to mental health problems. Underage workers have been found in Pakistan and Kenya joining platforms like Appen under false pretenses, highlighting…
The E3 TTS model developed by Google utilizes diffusion models to generate high-quality audio waveforms directly from plain text input. It eliminates the need for sequential processing and intermediate features, improving upon traditional text-to-speech (TTS) systems. The model combines a pre-trained BERT model for text extraction and a diffusion UNet model for waveform refinement, resulting…
Researchers from Shanghai AI Laboratory and Meta Reality Labs Research have developed a model that can generate accurate 3D spatial audio representations for entire human bodies. Using head-mounted microphones and body pose data, the model synthesizes 3D sound to create a sense of presence and immersion in a 3D world. The team has provided a…
Researchers from Adobe Research and the Australian National University have developed a Large Reconstruction Model (LRM) that can convert a 2D image into a 3D model within 5 seconds. LRM uses a transformer-based architecture and can generate high-fidelity 3D shapes. The model is scalable, efficient, and adaptable to various datasets. Future plans include increasing the…
The text highlights that 18% of reported sick leave is due to musculoskeletal issues, mainly back-related disorders. The GyroTrainer is an intelligent training device similar to a balance board. It utilizes artificial intelligence to adapt the difficulty level based on the patient’s current ability.
The Cambridge Dictionary has named “hallucinate” as its Word of the Year for 2023, expanding its definition to include the phenomenon of AI generating false information. This reflects the increasing prominence of AI in our lives and the cultural changes accompanying it. The reliability of AI-generated outputs remains under scrutiny, with instances of AI errors…
YouTube announces plans to integrate generative AI technologies while prioritizing community protection. They emphasize adherence to community guidelines and require creators to disclose AI-generated content. Removal requests for AI-generated content will be considered, and content moderation will be enhanced through the use of AI. YouTube is committed to responsible AI development and is optimistic about…
AI Experience is rapidly growing its course and resources worldwide, demonstrating significant global expansion.
Google DeepMind’s machine learning model, GraphCast, has outperformed traditional weather forecasting methods, including the Integrated Forecasting System (IFS) used by the European Centre for Medium-Range Weather Forecasts (ECMWF). GraphCast accurately predicted weather 10 days in advance in over 90% of cases, making it valuable for predicting extreme weather events. The model, which uses machine learning-based…
This article discusses various methods for debugging chained operations in Pandas. It introduces three functions that can be used for debugging: pdbreakpoint(), pdhead(), and pddo(). The pdbreakpoint() function allows you to add a typical breakpoint to a chain of Pandas operations, pdhead() prints the head of a data frame, and pddo() lets you perform custom…
The advances in generative AI raise ethical issues regarding the detection of AI-generated content. Detecting the origin of content becomes akin to a Turing Test, where distinguishing between human and AI-generated content becomes difficult. Although detection approaches can be used, there may be a limit to how good humans can become at detecting AI involvement.…
Google DeepMind has developed GraphCast, an AI tool that revolutionizes weather forecasting. Operating efficiently on a desktop computer, GraphCast utilizes historical weather data to accurately predict future weather conditions up to 10 days in advance, outperforming conventional numerical weather prediction (NWP) models. It offers rapid forecasts with reduced computational demands and shows promise in aiding…
Researchers have introduced LocoMuJoCo, a benchmark for Imitation Learning (IL) in locomotion tasks. The benchmark addresses limitations in existing measures by providing diverse environments and comprehensive datasets. It incorporates real motion capture data and supports evaluation across various difficulty levels. LocoMuJoCo aims to standardize IL research and offers compatibility with common RL libraries. The study…
Machine learning has had a significant impact on various fields, but constructing a customized ML-based data analysis pipeline remains challenging. This article focuses on supervised learning and highlights the importance of addressing issues like data leakage for accurate model inferences. Strategies to prevent leakage are discussed, along with the recognition of other potential challenges in…
This article discusses the concept of autoformalization, which involves converting informal mathematical knowledge into verifiable formalizations. The researchers used a large language model, GPT-4, to create a parallel dataset called MMA, containing informal-formal pairings in multiple formal languages. They trained the language model on MMA and found it to have strong autoformalization capabilities. The MMA…
A research team examined 44 human facial motions using 125 physical markers to improve the expression of emotions in artificial faces. This study has practical applications in robotics, computer graphics, facial recognition, and medical diagnoses.