Predicting wireless traffic using AI could improve the reliability of future wireless communication
The prediction of future wireless traffic volumes using artificial intelligence (AI) would allow communication systems to automatically adjust network resources to maximize reliability. KAUST researchers have now developed a more accurate "dual attention" prediction scheme that minimizes the volume of prediction data that needs to be transferred across the network.
Huawei teams up with GAC Motor for level 4 smart SUV
Pure electric SUV is claimed to have level 4 autonomy and is expected to arrive by the end of 2023.
Decoding how salamanders walk
Salamanders can navigate complex and unstructured environments thanks to their impressive body-limb coordination. Researchers have built a model that mimics a salamander's walk with the hope it aids the development of agile and adaptive robots that can flexibly change their body-limb coordination.
Tokyo diary: the heat is truly on – and a basketball-playing robot holds court
Toyota’s giant AI robot is halftime’s hottest attraction … and the weather gods are having a ball
Twitter to offer 'bounty' to find algorithmic bias
Twitter said Friday it would offer a cash "bounty" to users and researchers to help root out algorithmic bias on the social media platform.
Platform teaches nonexperts to use machine learning
Machine-learning algorithms are used to find patterns in data that humans wouldn't otherwise notice, and are being deployed to help inform decisions big and small—from COVID-19 vaccination development to Netflix recommendations.
Autonomous vehicles learning to drive by mimicking others
Self-driving cars are powered by machine learning algorithms that require vast amounts of driving data in order to function safely. But if self-driving cars could learn to drive in the same way that babies learn to walk—by watching and mimicking others around them—they would require far less compiled driving data.
How will machine learning change science?
Machine learning has burst onto the scene in the past two decades and will be a defining technology of the future. It is transforming large sectors of society, including healthcare, education, transport, and food and industrial production, as well as having an enormous impact on science and research.
Equity principles introduced into the algorithm development process for public health modeling
In the U.S., the place where one was born, one's social and economic background, the neighborhoods in which one spends one's formative years, and where one grows old are factors that account for a quarter to 60% of deaths in any given year, partly because these forces play a significant role in occurrence and outcomes for heart disease, cancer, unintentional injuries, chronic lower respiratory diseases, and cerebrovascular diseases—the five leading causes of death.
Ebuyer research reveals extent of public concerns surrounding AI
Ebuyer has found from mass data collection that more than 2.9 million negative conversations surrounding artificial intelligence (AI) were sparked online in the past year.
Opinion | What the U.S. Can Learn From Europe’s Approach to Artificial Intelligence
The E.U. provides a model for how to take the threats of A.I. seriously.
I’m sorry Dave I’m afraid I invented that: Australian court finds AI systems can be recognised under patent law
Federal court judge says allowing artificial intelligence systems, as well as humans, to be inventors is ‘consistent with promoting innovation’
Sydney's Tech Central earmarked as the home of the new AU$2m national space hub
The National Space Industry Hub will be a place for industry partners and the deep tech space ecosystem to meet to help grow Australia's space sector.
Inmarsat Orchestra 'dynamic mesh' network to use 5G, low orbit, and geostationary satellites
Customers will be able to use their terminals to expand coverage to other terminals within range on a network to cost around $100 million.
IBM and Michael J. Fox Foundation use AI to pinpoint symptom progression for Parkinson's
IBM Research and the Michael J. Fox Foundation have made a discovery that will allow clinicians to further understand the biology of Parkinson's disease.
Less communication among robots allows them to make better decisions
New research that could help us use swarms of robots to tackle forest fires, conduct search and rescue operations at sea and diagnose problems inside the human body, has been published by engineers at the University of Sheffield.
First machine-learning approach to forensic DNA analysis
As the field of forensics evolves, more complex evidence is being processed with greater precision, sensitivity and speed than ever before. To give a real-life example, consider a bank robbery where the perpetrator uses a pen, available to all customers, to write the note which they pass to the teller.