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Advancements in AI: A Roundup of Key Developments
In the realm of technology, July 2022 saw a flurry of exciting advancements, particularly in the field of Artificial Intelligence (AI). Here's a snapshot of some of the most noteworthy developments.
Explosives Detection in New York City
The Transit Police in New York City have introduced the Transit Enhanced Detection Dog program. These specially trained dogs will be equipped with vests containing sensors capable of detecting radiation or chemicals, alerting their handlers to potential threats in the city's public transportation system.
Critical Minerals Intelligence Centre in the UK
The United Kingdom has launched the Critical Minerals Intelligence Centre, with its first major project being a study on the demand and supply of minerals in electric vehicle batteries. This centre aims to collect and analyse data on the supply of critical minerals.
Quantum-Resistant Algorithms in the US
The U.S. National Institute of Standards and Technology (NIST) has selected four algorithms for standardization. These algorithms are designed to ensure encrypted data can withstand future attacks using quantum computers, with one algorithm for general encryption and three for digital signatures.
AI Language Translation
Recent progress in machine translation centres on neural machine translation (NMT) leveraging deep learning and large parallel text corpora to improve translation fluency and accuracy. Large language models like ChatGPT, based on the GPT architecture, demonstrate superior translation quality, producing contextually appropriate, fluent outputs that often rival human-level translations, especially for high-resource languages. However, these models can lag behind commercial translators like Google Translate in low-resource languages, though fine-tuning can improve these results.
New AI translation systems, such as OneSky Localization Agent (OLA), apply multi-agent architectures combining multiple large language models to translate 100+ languages with around 93% human-like accuracy, signalling significant automation and quality enhancements.
AI-Powered Localization in Entertainment and Sports
CAMB.AI has developed real-time AI dubbing technology that translates content into 150+ languages, preserving nuances and emotions. This technology is deployed in entertainment and sports, enabling multilingual broadcasting and localized post-match conferences, expanding audience reach and engagement globally. Collaborations with IMAX and events like the Australian Open highlight its cutting-edge application in immersive cinema and sports broadcasting.
Air Quality Monitoring in New York
The New York Department of Environmental Conservation has partnered with Aclima to improve air quality data collection in 10 communities around the state, including the Bronx, northern Manhattan, Albany, and Buffalo.
Salary Prediction by AI
Sarah Bana, a researcher at Stanford University, has trained an AI system to predict jobs' salaries from their listings with 87 percent accuracy.
While these are the key developments in AI for the week of July 2 to July 8, 2022, further advancements in other areas such as soccer refereeing, rip current identification, smart cities, railroad trespasser detection, air quality monitoring, creating quantum-resistant algorithms, explosive detection, salary prediction, and data center launching may not have been explicitly covered in the search results for this specific period. For more detailed information on these topics, further focused searches or access to domain-specific technical reports would be necessary.
- In the US, the U.S. National Institute of Standards and Technology (NIST) has been involved in the advancement of AI, as they have selected quantum-resistant algorithms for standardization, ensuring encrypted data can withstand future attacks from quantum computers.
- The Transit Police in New York City have made use of AI in their Transit Enhanced Detection Dog program, equipping specially trained dogs with vests containing sensors capable of detecting radiation or chemicals, contributing to the security of the city's public transportation system.
- The critical minerals intelligence centre launched in the UK is a significant development in data-and-cloud-computing technology, with its first major project being a study on the demand and supply of minerals in electric vehicle batteries, aiming to collect and analyze data on the supply of critical minerals.
- In the domain of data-and-cloud-computing, an AI system trained by a researcher at Stanford University, Sarah Bana, is capable of predicting job salaries from their listings with 87 percent accuracy, a notable advancement in the field of AI and employment.
