AI News
Australia Urges ‘High Risk’ Label for OpenAI, Meta, and Google LLMs
AI models within popular tech companies lack transparency in training data, the Australian Senate Select Committee reports.
Photonic processor could enable ultrafast AI computations with extreme energy efficiency
This new device uses light to perform the key operations of a deep neural network on a chip, opening the door to high-speed processors that can learn in real-time.
The State of Australian Data Centres Amid the AI Revolution
TechRepublic sat down with a Macquarie Data Centres' exec to discuss the local data center landscape amid the AI revolution. Here's what’s driving massive change.
Top 5 Cyber Security Trends for 2025
TechRepublic asked cyber experts to predict the top trends that will impact the security field in 2025.
A data designer driven to collaborate with communities
Associate Professor Catherine D’Ignazio thinks carefully about how we acquire and display data — and why we lack it for many things.
AI can predict study results better than human experts, researchers find
Large language models, a type of AI that analyses text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a new study. The findings demonstrate that large language models (LLMs) trained on vast datasets of text can distil patterns from scientific literature, enabling them to forecast scientific outcomes with superhuman accuracy. The researchers say this highlights their potential as powerful tools for accelerating research, going far beyond just knowledge retrieval.
ChatGPT Anniversary: How the Second Year of Generative AI Changed Tech Work
Tech professionals are now well-practiced in using ChatGPT for coding and development, including the new Canvas feature. However, the AI can still make mistakes.
Is This New AI Better Than ChatGPT?
With preset prompts, a built-in Chrome extension, and unlimited usage, it might be the best new AI tool.
Improving health, one machine learning system at a time
Marzyeh Ghassemi works to ensure health-care models are trained to be robust and fair.
The future of edge AI: Dye-sensitized solar cell-based synaptic device
Physical reservoir computing (PRC) utilizing synaptic devices shows significant promise for edge AI. Researchers from the Tokyo University of Science have introduced a novel self-powered dye-sensitized solar cell-based device that mimics human synaptic behavior for efficient edge AI processing, inspired by the eye's afterimage phenomenon. The device has light intensity-controllable time constants, helping it achieve high performance during time-series data processing and motion recognition tasks. This work is a major step toward multiple time-scale PRC.
New AI tool generates realistic satellite images of future flooding
The method could help communities visualize and prepare for approaching storms.
Building an understanding of how drivers interact with emerging vehicle technologies
The MIT Advanced Vehicle Technology Consortium provides data-driven insights into driver behavior, along with trust in AI and advance vehicle technology.
UK, US, EU Authorities Gather in San Francisco to Discuss AI Safety
AI safety institutes from the U.S., U.K., E.U., Australia, Canada, France, Japan, Kenya, the Republic of Korea, and Singapore officially formed the “International Network of AI Safety Institutes.”
8 Tech Nonprofits Changing the World with Innovation
There are many nonprofits dedicated to making technology more affordable, accessible, and secure.
A vision for U.S. science success
In a talk at MIT, White House science advisor Arati Prabhakar outlined challenges in medicine, climate, and AI, while expressing resolve to tackle hard problems.
MIT researchers develop an efficient way to train more reliable AI agents
The technique could make AI systems better at complex tasks that involve variability.
Advancing urban tree monitoring with AI-powered digital twins
The Tree-D Fusion system integrates generative AI and genus-conditioned algorithms to create precise simulation-ready models of 600,000 existing urban trees across North America.
Retrieval Augmented Generation: What It Is and Why It Matters for Enterprise AI
DataStax's CTO discusses how Retrieval Augmented Generation (RAG) enhances AI reliability, reduces hallucinations, and transforms information retrieval.
How AI Drives Supply Chain Automation for Retailers Worldwide
AI is transforming supply chain automation, enabling retailers to optimize operations and innovate with machine learning and generative AI.
Real-world chemists are more diverse than generative AI images suggest
Asking children 'What does a scientist look like?' now results in more illustrations of women and people of color than decades ago. But do generative artificial intelligence (AI) tools also depict the diversity among scientists? Researchers prompted AI image generators for portraits of chemists. They found that none of the collections accurately represents the gender, racial or disability diversity among real chemists today.
