Toggle light / dark theme

Although robots are more than capable today of carrying out all kinds of business tasks efficiently and accurately, the concept of building machines that can think like humans has always been a dream for tech companies and smart city developers. However, the actual way in which the human mind works and processes information is up for debate, with several parties having conflicting opinions regarding the same. Once enough data is generated, simulation models can be created to build software that can think along the same rational or emotional lines as humans. Human thinking is generally influenced by a variety of factors—cognitive, behavioral, geometric, kinematic and physical. Using cognitive modeling, such factors can be considered while attempting to create robots that think and behave like humans.

The concept of human thinking is still too vague to be accurately replicated in robots. Even then, multiple types of approaches could be taken to reach the ideal end result—enabling AI and robotic tools to think like humans.

Full Story:


Teaching robots to think like humans may be the next frontier for tech developers and researchers involved in the ongoing development of technologies such as AI and robotics.

The CycleBoard Rover is unlike anything I’ve tested before. It looks like a scooter and handles more like a skateboard. It’s a wild ride that is hard to describe, but that’s what I’m here to try and do.

Having tested plenty of electric scooters and e-skateboards before, I thought I could just hop on the CycleBoard Rover and blast away.

But I was woefully underestimating the learning curve here.

Efficient electrocatalysts, which are needed for the production of green hydrogen, for example, are hidden in materials composed of five or more elements. A team from Ruhr-Universität Bochum (RUB) and the University of Copenhagen has developed an efficient method for identifying promising candidates in the myriad of possible materials. To this end, the researchers combined experiments and simulation.

They published their report in the journal Advanced Energy Materials (“Unravelling Composition–Activity–Stability Trends in High Entropy Alloy Electrocatalysts by Using a Data-Guided Combinatorial Synthesis Strategy and Computational Modeling”).

A view of the sputtering machine used to produce the material library counters. (Image: Christian Nielinger)

The Firefox browser has stopped working due to a technical issue, with sites failing to load and no status information being provided to users.

The issue appears to be due to a HTTP3 problem. It appears that a recent update to the browser triggers an infinite loop in the network thread that prevents any pages from loading, leaving the browser useless.

However, this is an issue that can be temporarily overcome.

What are epinutrients, you ask? Allow us to explain.


In a 2021 study, naturopathic doctor and functional medicine expert Kara Fitzgerald, N.D., author of Younger You, was able to improve participants’ biological age by three years. Sounds like a tall order, but the intervention was actually pretty simple: With a very doable diet and exercise plan, it only took eight weeks to see these results. “A big reason we actually made a difference in eight weeks’ time is because we very intentionally bathed the body in a high amount of epinutrients,” she says on this episode of the mindbodygreen podcast.

What are epinutrients, you ask? Allow Fitzgerald to explain below, along with a few of her favorites.

Last year, Germany spent $53 billion on defense. This year, TSMC is spending $44 billion on chip factories. (In 2019, TSMC only spent $14.9 billion, so they are spending insane amounts of money trying to fix the chip shortage.) Pretty much everyone in the chip business is also dramatically increasing their spending as well.


TSMC investment will “put a ceiling” on Samsung, Intel’s foundry plans.