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Memories can be as tricky to hold onto for machines as they can be for humans. To help understand why artificial agents develop holes in their own cognitive processes, electrical engineers at The Ohio State University have analyzed how much a process called “continual learning” impacts their overall performance.

Continual learning is when a computer is trained to continuously learn a sequence of tasks, using its accumulated knowledge from old tasks to better learn new tasks.

Yet one major hurdle scientists still need to overcome to achieve such heights is learning how to circumvent the machine learning equivalent of memory loss—a process which in AI agents is known as “catastrophic forgetting.” As are trained on one new task after another, they tend to lose the information gained from those previous tasks, an issue that could become problematic as society comes to rely on AI systems more and more, said Ness Shroff, an Ohio Eminent Scholar and professor of computer science and engineering at The Ohio State University.

Once this is added to a VR open world, like low-fi, I may never come out!


The Unreal Engine combined with the power of OpenAI’s GPT has opened up a lot of possibilities for the future of video games. This demo created by Replica Studios allows us to directly interact with NPCs. It’s surprisingly good, and gives some insight into where things might be heading.

Download the demo from here: https://blog.replicastudios.com/smart-npc-plugin-release/

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Music.

Last night at 9:09 p.m. PT (04:09 UTC), SpaceX successfully launched 15 V2 mini Starlink satellites to low Earth orbit from Space Launch Complex 4 East at Vandenberg Space Force Base, California.

Following a last-second aborted launch attempt the previous night, SpaceX teams performed checkouts of the Falcon 9 and determined another attempt to launch the next-gen satellites was good to go. During the previous attempt, the launch was held early in the countdown due to a “perceived leak” in the second stage, then eventually, the automated abort at T-minus 5 seconds.

Liftoff! pic.twitter.com/CzetVZFGbv

It is believed that Apple is creating its large language model in competition with OpenAI’s GPT-3 and GPT-4, Google’s Bert and LaMDA, Meta’s LLaMa-1 and LLaMa-2, among others.

Whenever Apple launches a new product, its competitors, developers, and starry-eyed consumers take it very seriously. And with the veritable craze over artificial intelligence (AI) tools, it was only a matter of time before the iPhone creator came up with something explosive.

It is believed that Apple is creating its large language model (LLM) in competition with OpenAI’s GPT-3 and GPT-4, Google’s Bert and LaMDA, Meta’s LLaMa-1 and LLaMa-2, among others. It is also being learned that Apple has created a chatbot service… More.


Getty Images.

Researchers from Carnegie Mellon University have developed a new technique that could lead to faster and more efficient drone exploration.

A team of researchers from Carnegie Mellon University has successfully developed a new dual-mapping technique that could help robots explore areas faster and more efficiently. By producing both a site’s high-and low-resolution map, this new technique enables robots to explore areas using only a fraction of the computing power typically needed for a similar task.


ROBOTICS INSTITUTE, CARNEGIE MELLON UNIVERSITY

More efficient exploration.

Microsoft also has a collaboration with OpenAI, which mostly develops closed-source LLMs.

Meta has partnered with Microsoft to launch an open-source large language model like ChatGPT. Called LLaMa 2, it was trained on 40% more data in comparison to LLaMa 1, which Meta had launched in February.

What sets it apart from its competitors like OpenAI’s ChatGPT and Google’s Bard is that it’s open source.

By collaborating with Meta, which has always been a proponent of open-source models, Microsoft has its… More.


Instagram.

In a press release, Meta claims that LLaMa 2 has double the context length vs. LLaMa 1 and “outperforms” other LLMs like Falcon and MPT regarding reasoning, coding, proficiency, and knowledge tests.

Researchers compared performance of OpenAI’s GPT-3.5 and GPT-4.

It seems that the honeymoon phase for large language models (LLMs), introduced in the rush to make inroads in the generative AI space, is over. According to a study by researchers at Stanford and UC Berkeley, the performance of OpenAI’s LLMs has decreased significantly over time.

The researchers wanted to determine if these LLMs were improving, as they can be updated based on data, user feedback, and design changes.


Robert Way/iStock.

According to a study by researchers at Stanford and UC Berkeley, the performance of OpenAI’s LLMs has decreased significantly over time.

The United States remains the only nation to have landed humans on the Moon and returned them safely to Earth. It is among the greatest achievements in human history, and it has significantly contributed to America’s leadership on the world stage. As a young man I had the opportunity of working on the Apollo program as an inspector with McDonnell Douglas. It was an exciting experience, and I am both grateful and humbled to have been a part of it.

The success of the Apollo Missions led to other significant accomplishments like building reusable Space Shuttles to test the limits of human space flight, prolonged robotic exploration of Mars, deploying a space-based telescope that can see far beyond our solar system, and conducting scientific research on the International Space Station. In more recent years we’ve seen an explosion in commercial space activity which has culminated in private companies conducting successful human space launches. This too is a significant milestone.

Our investment in space is critical to our national security, scientific discovery, technological advancement, and economic competitiveness. So much of our modern-day life is dependent on space making a bank transaction, for example, or even a phone call, these days requires using some type of space-faring technology. And while NASA’s leadership of our space efforts will continue to be indispensable, the U.S. commercial space industry’s role in space exploration will grow larger and more critical. American companies must continue to lead the way.