AI could benefit society, but it could also become a monster. To guide the way, we need leadership and understanding
A new activation campaign from tourism organization VisitDenmark wants to put the land of “hygge” on the map as the antidote to bucket list tourism.
Published in The US Army War College Quarterly: Parameters, a Monash University led-paper suggests teams of humans under the control, supervision or command of artificial intelligences are likely to beat teams of human-controlled robots on the battlefields of tomorrow.
The artificial intelligence (AI) language model ChatGPT has captured the world's attention in recent months. This trained computer chatbot can generate text, answer questions, provide translations, and learn based on the user's feedback. Large langua
Computer models are an important tool for studying how the brain makes and stores memories and other types of complex information. But creating such models is a tricky business. Somehow, a symphony of signals—both biochemical and electrical—and a tangle of connections between neurons and other cell types creates the hardware for memories to take hold.
In the field of artificial intelligence, there are winters and there are springs—barren stretches followed by exhilarating bursts of innovation and funding. Right now, we find ourselves definitively in the midst of an AI spring, says Johns Hopkins engineer Rama Chellappa, a veteran of the industry for more than four decades.
The rise of AI raises the complicated question of how we might guide it towards ethical and political ends.
It was once thought physical labor jobs would be the most at risk from the rise of artificial intelligence. But recent advances suggest we can expect disruption across a vast range of sectors, including knowledge-based industries.
Readers discuss the speed with which a jury convicted Alex Murdaugh of murder. Also: Safeguards for A.I.; appreciating Joe Biden; loyalty programs.
ChatGPT has cast long shadows over the media as the latest form of disruptive technology. For some, ChatGPT is a harbinger of the end of academic and scientific integrity, and a threat to white collar jobs and our democratic institutions.
Web3 solutions must become more mainstream and accessible to enable abundant, high-quality data to train AI models and reduce bias.
The Friday AI hype firehose came right on schedule last week. Is there hope amid the AI hype? I found a few signs.
Turns out, even language models "think" they're biased. When prompted in ChatGPT, the response was as follows: "Yes, language models can have biases, because the training data reflects the biases present in society from which that data was collected. For example, gender and racial biases are prevalent in many real-world datasets, and if a language model is trained on that, it can perpetuate and amplify these biases in its predictions.
LG is one of the world's biggest tech companies, but it is making efforts to stay in touch with the innovations of startups with LG NOVA.
The Prime Minister and Technology Secretary have unveiled the Government’s plan to cement the UK’s place as a science and technology superpower by 2030, alongside a raft of new measures backed by over £370 million to boost investment in innovation, bring the world’s best talent to the UK, and seize the potential of ground-breaking new technologies like AI.
A trio of economic management scientists, two with the Sloan School of Management at MIT and one with Virginia Tech, are warning of the consequences of industry dominance in AI research. In their Policy Forum piece published in the journal Science, Nur Ahmed, Muntasir Wahed and Neil Thompson outline the recent history of AI research efforts and why consumers should be concerned about the direction it is taking.
Microsoft's new AI Copilot automates business app operations for CRM and ERP with text generation, sentiment analysis and workflow automation.
Despite AI’s impressive track record, its computational power pales in comparison with a human brain. Now, scientists unveil a revolutionary path to drive computing forward: organoid intelligence, where lab-grown brain organoids act as biological hardware.