On any given day, Dallas motorists traveling along I-20 or I-45 are likely to be sharing the road with a self-driving truck that has the equivalent of a learner’s permit.
Why it matters: Dallas is the hub of autonomous truck testing and development, thanks to its vital freight corridors, business-friendly policies and generally favorable weather.
Read more about Airtel introduces Xstream AirFiber for ultimate 5G-powered wireless home Wi-Fi experience on Devdiscourse.
Beijing’s compromise of Tokyo’s classified cyber networks could prevent greater strategic coordination between Japan’s Defense Ministry and the Pentagon.
Through a scattering medium such as ground glass? Traditionally, this would be considered impossible. When light passes through an opaque substance, the information carried within the light becomes “jumbled up”, almost as if undergoes complex encryption.
Recently, a remarkable scientific breakthrough by Professor Choi Wonshik’s team from the IBS Center for Molecular Spectroscopy and Dynamics (IBS CMSD) has unveiled a method to leverage this phenomenon in the fields of optical computing and machine learning.
Machine learning is a subset of artificial intelligence (AI) that deals with the development of algorithms and statistical models that enable computers to learn from data and make predictions or decisions without being explicitly programmed to do so. Machine learning is used to identify patterns in data, classify data into different categories, or make predictions about future events. It can be categorized into three main types of learning: supervised, unsupervised and reinforcement learning.
Are quantum events required for consciousness in a very special sense, far beyond the general sense that quantum events are part of all physical systems? What would it take for quantum events, on such a micro-scale, to be relevant for brain function, which operates at the much higher level of neurons and brain circuits? What would it mean?
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Protein dynamics play a crucial role in diverse functions. The intracellular environment significantly influences protein dynamics, particularly for intrinsically disordered proteins (IDPs).
A research group led Prof. Zhang Lihua from the Dalian Institute of Chemical Physics (DICP) of the Chinese Academy of Sciences (CAS), in collaboration with Assoc. Prof. Gong Zhou from the Precision Measurement Science and Technology Innovation Research Institute of CAS, has proposed a strategy using in-vivo chemical cross-linking and mass spectrometry (in-vivo XL-MS) to decode the dynamic structure of proteins within cells.
In-vivo XL-MS is potential for analyzing the dynamic structure of proteins within cells due to its high throughput, high sensitivity, and low requirements for protein purity.
Today I’m checking out Replica’s AI-Powered Smart NPCs in their impressive new demo for unreal engine 5. In my opinion will quickly change the landscape of gaming and bring a whole new layer of depth to the already impressive worlds we all enjoy. I hope you enjoyed this look into the roots of AI in gaming, thanks for watching and liking.
Download the Demo &
https://www.replicastudios.com/blog/smart-npc-plugin-release.
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Summary: Researchers discovered Heliconius butterflies exhibit spatial learning, marking the first experimental proof of such abilities in any butterfly or moth species. The study suggests these butterflies can learn spatial information on large scales, important for their long-range foraging behavior known as traplining.
Until now, research on insect spatial learning primarily focused on social species like bees and ants.
This new revelation underscores the possibility of more widespread complex learning skills, such as the use of spatial information, in insects than previously recognized.
Just as carbon makes up both the brittle core of a No. 2 pencil and the harder-than-steel diamond in a cutting tool, boron nitride gives rise to compounds that can be soft or hard. Yet, unlike carbon, far less is known about boron nitride’s forms and their responses to changing temperatures and pressures.
Rice University scientists mixed hexagonal boron nitride —a soft variety also known as “white graphite”—with cubic boron nitride—a material second to diamond in hardness—and found that the resulting nanocomposite interacted with light and heat in unexpected ways that could be useful in next-generation microchips, quantum devices and other advanced technology applications.
“Hexagonal boron nitride is widely used in a variety of products, such as coatings, lubricants and cosmetics,” said Abhijit Biswas, a research scientist who is the lead author of a study about the research published in Nano Letters. “It’s quite soft and it is a great lubricant, and very lightweight. It’s also cheap and very stable at room temperature and under atmospheric pressure.
This article is an installment of Future Explored, a weekly guide to world-changing technology. You can get stories like this one straight to your inbox every Thursday morning by subscribing here.
The Australian military is funding a project to grow intelligent “mini-brains” in petri dishes. The goal is to use these “DishBrains” to design better AIs — and, eventually, even combine the two, creating AIs merged with processing features of human brain cells.
By creating just the right conditions, scientists can coax stem cells into growing into “organoids,” three-dimensional tissues that resemble the structure and function of different organs — even brains.
