News on Artificial Intelligence and Machine Learning The latest news on Artificial Intelligence and Machine Learning
- AI-trained vehicles can adjust to extreme turbulence on the flyon October 14, 2024 at 8:24 pm
In nature, flying animals sense coming changes in their surroundings, including the onset of sudden turbulence, and quickly adjust to stay safe. Engineers who design aircraft would like to give their vehicles the same ability to predict incoming disturbances and respond appropriately.
- Multi-task learning model enhances hate speech identificationon October 14, 2024 at 6:57 pm
Researchers have developed a new way to automatically detect hate speech on social media platforms more accurately and consistently using a new multi-task learning (MTL) model; a type of machine learning model that works across multiple datasets.
- As OpenAI attracts new investment, balancing profit with purpose is getting more challenging to pull offon October 14, 2024 at 4:50 pm
OpenAI, the artificial intelligence company that developed the popular ChatGPT chatbot and the text-to-art program Dall-E, is at a crossroads. On Oct. 2, 2024, it announced that it had obtained US$6.6 billion in new funding from investors and that the business was worth an estimated $157 billion—making it only the second startup […]
- Researchers tout effectiveness of individual optimization algorithms for human–robot interactionson October 14, 2024 at 4:33 pm
A patient recovering from a limb amputation won’t use a prostheses that isn’t comfortable. A person rehabbing from a stroke won’t use a robotic exoskeleton if the mobility it grants doesn’t allow them to perform everyday activities. And a diabetes patient won’t use an insulin pump that doesn’t deliver the appropriate dosage of […]
- Attack simulator reveals oversight in AI image recognition tools and mitigation for cyber threaton October 14, 2024 at 4:31 pm
Artificial intelligence can help people process and comprehend large amounts of data with precision, but the modern image recognition platforms and computer vision models that are built into AI frequently overlook an important back-end feature called the alpha channel, which controls the transparency of images, according to a new […]
- Opinion: Australia has led the way regulating gene technology for over 20 years—here’s how it should apply that to AIon October 14, 2024 at 4:02 pm
Since 2019, the Australian Department for Industry, Science and Resources has been striving to make the nation a leader in “safe and responsible” artificial intelligence (AI). Key to this is a voluntary framework based on eight AI ethics principles, including “human-centered values,” “fairness” and “transparency and explainability.”
- For AI, secrecy often does not improve securityon October 14, 2024 at 3:30 pm
Concern about misuse of artificial intelligence has led political leaders to consider regulating the emerging technology in ways that could limit access to AI models’ inner workings. But researchers at a group of leading universities, including Princeton, caution that such restrictions are likely to do more harm than good.
- Machine learning models could alleviate risks posed by cracking and corroding concrete structures, say scientistson October 14, 2024 at 3:16 pm
Scientists say they have designed machine learning models able to predict when and why structures built of reinforced concrete start deteriorating and cracking.
- New AI model for hi-res video generation, Pyramid Flow, is available as open-source softwareon October 14, 2024 at 2:08 pm
A team of AI researchers from Peking University, Kuaishou Technology, and Beijing University of Posts and Telecommunications, has developed a new AI model called Pyramid Flow, that can be used to generate virtual hi-resolution (768p) video imagery. The group has written a paper describing how they built their model, its attributes […]
- Integer addition algorithm could reduce energy needs of AI by 95%on October 12, 2024 at 2:50 pm
A team of engineers at AI inference technology company BitEnergy AI reports a method to reduce the energy needs of AI applications by 95%. The group has published a paper describing their new technique on the arXiv preprint server.
