AI News
Making it easier to verify an AI model's responses
A new system helps human fact-checkers validate the responses generated by a large language model. By speeding validation time by 20 percent, the system could improve manual verification and help users spot errors in AI models deployed in real-world situations.
Soft microelectronics technologies enabling wearable AI for digital health
Developing edge-computing and AI capabilities from wearable sensors enhances their intelligence, critical for the AI of Things, and reduces power consumption by minimizing data exchange between sensory terminals and computing units. This enables wearable devices to process data locally, offering real-time processing, faster feedback, and decreased reliance on network connectivity and external devices, thereby enhancing efficiency, privacy, and responsiveness in applications like health monitoring, activity tracking, and smart wearable technology.
Wearable cameras allow AI to detect medication errors
A team of researchers says it has developed the first wearable camera system that, with the help of artificial intelligence, detects potential errors in medication delivery. In a test, the video system recognized and identified, with high proficiency, which medications were being drawn in busy clinical settings. The AI achieved 99.6% sensitivity and 98.8% specificity at detecting vial-swap errors. The system could become a critical safeguard, especially in operating rooms, intensive-care units and emergency-medicine settings.
How Enterprise IT Can Achieve Water Sustainability Despite the Demands of AI
Most of the discussion about data center sustainability is focused on the type of power and how much of it is consumed. But excessive water usage is becoming an increasingly important and controversial aspect of data center operations. Many data centers use a lot of water in cooling and humidification. Hyperscalers, in particular, are under ...
E.U. Partners With Venture Capital Firms to Boost Tech Investment
The E.U. has been heavily criticised for not doing enough to bridge the technological gap between it and other global superpowers.
EU Partners With Venture Capital Firms to Boost Tech Investment
The E.U. has been heavily criticised for not doing enough to bridge the technological gap between it and other global superpowers.
Showing AI users diversity in training data boosts perceived fairness and trust
While artificial intelligence (AI) systems, such as home assistants, search engines or large language models like ChatGPT, may seem nearly omniscient, their outputs are only as good as the data on which they are trained. However, ease of use often leads users to adopt AI systems without understanding what training data was used or who prepared the data, including potential biases in the data or held by trainers. A new study suggests that making this information available could shape appropriate expectations of AI systems and further help users make more informed decisions about whether and how to use these systems.
Can Security Experts Leverage Generative AI Without Prompt Engineering Skills?
A study at Rensselaer Polytechnic Institute presented at ISC2 Security Congress compared ChatGPT-written training prompted by security experts and prompt engineers.
Rethinking AI: How Organisations Can Become More Sensitive & Resilient
Explore Martin D. Adams' insights on using AI for sensitivity in organizations and strategies for resilience and ethics.
AI could transform how hospitals produce quality reports
Researchers find advanced AI could lead to easier, faster and more efficient hospital quality reporting.
Making it easier to verify an AI model’s responses
By allowing users to clearly see data referenced by a large language model, this tool speeds manual validation to help users spot AI errors.
Advance Your Career with These Data Science Skills
Eight courses and 50+ hours of hands-on training in Python, machine learning, Power BI, PySpark, and more.
Elon Musk’s X is changing its privacy policy to allow third parties to train AI on your posts
On Wednesday, social network X (formerly Twitter) updated its Privacy Policy to indicate that it would allow third-party “collaborators” to train their AI models on X data, unless users opt out. While X owner Elon Musk trained xAI’s Grok AI chatbot on X user data, leading to an investigation by the EU’s lead privacy regulator, […] © 2024 TechCrunch. All rights reserved. For personal use only.
Microsoft: Ransomware Attacks Growing More Dangerous, Complex
Attackers launched 600 million cybercriminal and nation-state threats on Microsoft customers daily, including ransomware attacks, in the last year, according to the tech giant.
AI model that checks for skin cancer shows promise
Scientists developed a way of using artificial intelligence to check for skin cancer with the AI tool, which was trained on data from 53,601 skin lesions from 25,105 patients, outperforming existing methods in a new study.
People sympathize with bullied AI bots
In a new study, humans displayed sympathy towards and protected AI bots who were excluded from playtime.
Qualtrics: AI Training and Guidance a Problem For Australian Employees
Future AI programs will depend on employee engagement and skills.
Combining next-token prediction and video diffusion in computer vision and robotics
A new method can train a neural network to sort corrupted data while anticipating next steps. It can make flexible plans for robots, generate high-quality video, and help AI agents navigate digital environments.
IBM: Enterprise IT Facing Imminent AI Agent Revolution
IBM warns that enterprise IT is on the brink of an AI agent revolution, exploring its implications for businesses and technology's future.
Equipping doctors with AI co-pilots
Alumni-founded Ambience Healthcare automates routine tasks for clinicians before, during, and after patient visits.
