NEAR is a modular AI-focused protocol designed for high-speed transactions, low fees, and seamless interaction between users and decentralized applications (dApps). When it comes to combining AI and ...

This news release presents results from recent drilling in the southeast section of the Hat Project's Lisle Zone. Drill holes H093, H094, H095, and H096 have significantly expanded the apparent volume ...

The field of remote sensing in agriculture increasingly relies on high spatial resolution imagery to precisely monitor crop growth and agricultural ...

Federated learning has emerged as a transformative technique in the fields of AI and healthcare, offering a potential solution to harness data from diverse ...

This study addresses an important question and shows how social navigation in homing pigeons can be explained by simple averaging, without requiring any complex cognitive abilities. The evidence, ...

Note: All results in this news release are rounded. Assays are uncut & undiluted. Widths are drilled widths, not true widths. True widths are unknown. Mineralization depicted in Figures 2 and 3 below ...

The real risk isn't in running robust tests; it’s in wasting money or cutting high-performing channels based on misleading conclusions from bad measurement.

Gautam Anand, coder who is still in high school, created WorldGuessr, a free game now used in classrooms, in response to demand from his friends at school.

Background Germany has the highest density of cigarette vending machines globally, and the recent proliferation of electronic cigarette (e-cigarette) vending machines raises growing public health ...

We've wondered for centuries whether knowledge is latent and innate or learned and grasped through experience, and a new research project is asking the same question about AI.

Common examples of remote sensing are drone and satellite imagery, as well as handheld devices or sensors mounted on any of our farm equipment, such as tractors. These technologies use sensors to ...

Abstract: As deep learning models continue to grow larger and more complex, exploiting sparsity is becoming one of the most critical areas for enhancing efficiency and scalability. Several methods for ...