Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...
Loosh launches a cognitive engine giving AI memory, ethics, and decentralized intelligence for real-world autonomy.
When engineers and planners design roads, bridges and dams, they rely on hydrological models intended to protect ...
The core challenge is estimating the relationship between AI and productivity, says Erik Lundh of The Conference Board.
Distance is possible, and often desirable, but nothing is ever exactly the same in a prepared course. The real thing comes ...
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
This 2003 Porsche Boxster S is in great shape and has been well maintained, with custom headlight and casings for an extra ...
Post Doc Fellow: AI and Data Systems in Nuclear/Particle Physics, Stellenbosch University In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, ...
Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...
China’s role as the world’s factory—producing and exporting goods across the globe—has entered a new phase. In the past decade, China has made a concerted effort to move its manufacturing sector up ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback