AI News
Enhancing Health Care Cybersecurity: Bridging HIPAA Gaps with Innovation
The proposed HIPAA Security Rule introduces mandatory measures to prevent malicious cyberattacks in health care.
New computational chemistry techniques accelerate the prediction of molecules and materials
With their recently-developed neural network architecture, MIT researchers can wring more information out of electronic structure calculations.
For healthy hearing, timing matters
Machine-learning models let neuroscientists study the impact of auditory processing on real-world hearing.
UK’s New AI Action Plan Aims to Position Country as a Global Powerhouse
Recommendations in the 50-point plan include increasing public compute capacity twentyfold, creating a training data library, and building AI hubs in deindustrialised areas.
New training technique for highly efficient AI methods
AI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our brains. They are trained with vast quantities of data on high-performance computers, gobbling up massive amounts of energy in the process. Spiking neurons, which are much less energy-intensive, could be one solution to this problem. In the past, however, the normal techniques used to train them only worked with significant limitations. A recent study has now presented a possible new answer to this dilemma, potentially paving the way for new AI methods that are much more energy-efficient.
Nearly Half of Businesses Weaken Sustainability Goals Due to Generative AI Demands, Capgemini Report Reveals
Google has stated that its goal to reach net-zero emissions across all its operations and value chain by 2030 is now “extremely ambitious” thanks to its data centre usage.
US Chip Export Rule Proposes Limits to Thwart Chinese GPUs
The Biden administration states the rule will prevent U.S. chips from passing to China through countries loosely allied or not politically allied with the U.S.
Q&A: The climate impact of generative AI
As the use of generative AI continues to grow, Lincoln Laboratory's Vijay Gadepally describes what researchers and consumers do to help mitigate its environmental impact.
New method forecasts computation, energy costs for sustainable AI models
The process of updating deep learning/AI models when they face new tasks or must accommodate changes in data can have significant costs in terms of computational resources and energy consumption. Researchers have developed a novel method that predicts those costs, allowing users to make informed decisions about when to update AI models to improve AI sustainability.
HR Leaders in APAC Are Adopting AI for Efficiency Gains
Artificial intelligence and machine learning are seen as allies in the battle to streamline HR workflows.
Top 5 Tech Trends at CES 2025
AI was everywhere at the consumer electronics show, promising everything from self-driving cars to more Copilot+ laptops.
New Payroll Compliance Penalties Driving Tech Adoption in Australia Says Yellow Canary
A new law criminalising some underpayments to Australian employees this month is causing organisations to keep a close watch on their payroll technology, according to Yellow Canary.
New Payroll Compliance Penalties Driving Tech Adoption in Australia, Says Yellow Canary
A new law criminalising some underpayments to Australian employees this month is causing organisations to keep a close watch on their payroll technology, according to Yellow Canary.
What’s Next for Open Source Software Security in 2025?
Hidden dependencies, social engineering attacks, and the complexity of foundation models can all contribute tothe insecure use of open-source software in 2025.
New AI platform identifies which patients are likely to benefit most from a clinical trial
A new study demonstrates that a first-of-its-kind platform using artificial intelligence (AI) could help clinicians and patients assess whether and how much an individual patient may benefit from a particular therapy being tested in a clinical trial. This AI platform can help with making informed treatment decisions, understanding the expected benefits of novel therapies and planning future care.
Pioneering mathematical model could help protect privacy and ensure safer use of AI
AI tools are increasingly being used to track and monitor us both online and in-person, yet their effectiveness comes with big risks. Computer scientists have developed a new mathematical model which could help people better understand the risks posed by AI and assist regulators in protecting peoples' privacy.
New AI model TabPFN enables faster and more accurate predictions on small tabular data sets
A team has developed a new method that facilitates and improves predictions of tabular data, especially for small data sets with fewer than 10,000 data points. The new AI model TabPFN is trained on synthetically generated data before it is used and thus learns to evaluate possible causal relationships and use them for predictions.
Teaching AI to communicate sounds like humans do
Inspired by the mechanics of the human vocal tract, a new AI model can produce and understand vocal imitations of everyday sounds. The method could help build new sonic interfaces for entertainment and education.
Using AI to predict the outcome of aggressive skin cancers
Research demonstrates that AI can determine the course and severity of aggressive skin cancers, such as Merkel cell carcinoma (MCC), to enhance clinical decision making by generating personalzsed predictions of treatment specific outcomes for patients and their doctors.
New AI predicts inner workings of cells
In the same way that ChatGPT understands human language, a new AI model developed by computational biologists captures the language of cells to accurately predict their activities.
