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Category: futurism – Page 357

Major changes in the spinal columns of mammals have been shaped by their highly variable numbers of vertebrae, according to new evidence from a team of international scientists, including researchers from the Milner Center for Evolution at the University of Bath.

The team unearthed new findings that identify how this column “complexity” in mammals has been shaped by their varying numbers of vertebrae.

The research group from the University of Lincoln, U.K., the University of Bath and Nanjing Institute of Geology and Paleontology, China, conducted a that examined the vertebrae of 1,136 modern species, ranging from blue whales to shrews, to determine how column complexity evolved within major groups over time.

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GPT-4 from OpenAI has launched, as a multimodal AI capable of taking 25,000 tokens as input, makes it the most powerful consumer facing artificial intelligence model on earth.

AI news timestamps:
0:00 GPT-4 intro.
0:30 Pricing.
0:58 Improvements and scoring.
2:01 GPT-4 example applications.
2:57 GPT-4 vs ChatGPT
3:48 GPT-4 further functionality.
5:56 GPT-5 future implications.
7:29 Is GPT-4 already AGI?

#ai #technology #tech

Continue reading “GPT-4 AI Full Breakdown: How Smart vs AGI? ( GPT-5 + IQ TEST + PRICE + NEW FEATURES )” | >

We posed these questions to GPT-4:

How can we address the often wide gap in perception of reality and adherence to the laws of the physical world when so many people prefer to imagine their afterlife instead of focusing on the life they are living now?

What are your thoughts on the viability of religion to provide people guidance during exponential times such as we are in now?

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Inspired by nature, these soft robots received their amphibious upgrade with the help of bistable actuators.

Researchers at Carnegie Mellon University have created a soft robot that can effortlessly transition from walking to swimming or from crawling to rolling.

“We were inspired by nature to develop a robot that can perform different tasks and adapt to its environment without adding actuators or complexity,” said Dinesh K. Patel, a postdoctoral fellow in the Morphing Matter Lab in the School of Computer Science’s Human-Computer Interaction Institute. “Our bistable actuator is simple, stable and durable, and lays the foundation for future work on dynamic, reconfigurable soft robotics.”

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Deep Learning (DL) advances have cleared the way for intriguing new applications and are influencing the future of Artificial Intelligence (AI) technology. However, a typical concern for DL models is their explainability, as experts commonly agree that Neural Networks (NNs) function as black boxes. We do not precisely know what happens inside, but we know that the given input is somehow processed, and as a result, we obtain something as output. For this reason, DL models can often be difficult to understand or interpret. Understanding why a model makes certain predictions or how to improve it can be challenging.

This article will introduce and emphasize the importance of NN explainability, provide insights into how to achieve it, and suggest tools that could improve your DL model’s performance.

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