To be human is, fundamentally, to be a forecaster. Occasionally a pretty good one. Trying to see the future, whether through the lens of past experience or the logic of cause and effect, has helped us ...
Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...
WASHINGTON, Jan 22 (Reuters) - TikTok's Chinese owner, ByteDance, on Thursday said it has finalized a deal to establish a majority American-owned joint venture that will secure U.S. data, to avoid a U ...
TikTok has finalised a deal to allow its American business to continue, by creating a new US entity separate from its global operations, which are run out of China. Under the deal ...
In every boardroom conversation about AI safety, there is a familiar belief that if we can just bolt on the right guardrails and keep improving red-teaming and reinforcement learning, we will ...
Katie Palmer covers telehealth, clinical artificial intelligence, and the health data economy — with an emphasis on the impacts of digital health care for patients, providers, and businesses. You can ...
Can children and teenagers be forced off social media en masse? Australia is about to find out. More than 1 million social media accounts held by users under 16 are set to be deactivated in Australia ...
The Algorithm Accountability Act (S.3193), proposed this week by Sens. John Curtis and Mark Kelly, is an incredibly important piece of legislation that would amend Section 230 of the Communications ...
The algorithm has gone wild! Democratic Rep. Brad Sherman denied looking at porn on a flight after photos of him staring at racy images on his iPad went viral — instead blaming his algorithm for ...
In trading, discussions often center on strategies, indicators, or market predictions. Yet behind the numbers lies a quieter factor that often determines whether a system can endure: position sizing.
A new study from MIT suggests the biggest and most computationally intensive AI models may soon offer diminishing returns compared to smaller models. By mapping scaling laws against continued ...