The URL previously belonged to OpenAI, but, somehow, it’s now a landing page for Musk’s AI venture.
Category: robotics/AI – Page 990
Traditional Industries In An AI World
Jeff Tao is the founder, CEO and core developer of TDengine.
The emergence of ChatGPT in the public eye has brought new life to the field of artificial intelligence (AI). As AI technology enters all industries, it becomes a part of our work and lives, ushering in a new industrial revolution. While jobs will be lost, new opportunities will be created for those who work with AI.
Traditional industries, such as energy and manufacturing, are even more anxious about the AI-oriented future than those in the IT sector. They want to know how they can use AI technologies to reduce costs and increase efficiency in their industries.
Don’t quit your day job: Generative AI and the end of programming
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There’s a lot of angst about software developers “losing their jobs” to AI, being replaced by a more intelligent version of ChatGPT, GitHub’s Copilot, Google’s foundation model Codey, or something similar.
AI startup founder Matt Welsh has been talking and writing about the end of programming. He’s asking whether large language models (LLMs) eliminate programming as we know it, and he’s excited that the answer is “yes”: Eventually, if not in the immediate future.
How Dallas became the proving ground for autonomous trucks
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.
Optical Computing Breakthrough: Seeing Through the “Unseeable”
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.
Talking to Intelligent AI NPCs with Real Thoughts & Emotions — REPLICA
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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Artificial-intelligence search engines wrangle academic literature
A postdoctoral researcher at the University of Southern Denmark in Odense, Bilal studies the evolution of the novel in nineteenth-century literature. Yet he’s perhaps best known for his online tutorials, in which he serves as an informal ambassador between academics and the rapidly expanding universe of search tools that make use of artificial intelligence (AI).
Developers want to free scientists to focus on discovery and innovation by helping them to draw connections from a massive body of literature.
NASA cautiously tests OpenAI software for summarization and code writing
NASA is cautiously testing OpenAI software with a range of applications in mind, including code-writing assistance and research summarization. Dozens of employees are participating in the effort, which also involves using Microsoft’s Azure cloud system to study the technology in a secure environment, FedScoop has learned.
The space agency says it’s taking precautions as it looks to examine possible uses for generative artificial intelligence. Employees looking to evaluate the technology are only invited to join NASA’s generative AI trial if their tests involve “public, non-sensitive data,” Edward McLarney, digital transformation lead for Artificial Intelligence and Machine Learning at the agency, told FedScoop.
In June, Microsoft announced a new Azure OpenAI tool designed for the government, which according to the company is more secure than the commercial version of the software. Last week, FedScoop reported that the Microsoft Azure OpenAI was approved for use on sensitive government systems. A representative for Microsoft Azure referred to NASA in response to a request for comment. OpenAI did not respond to a request for comment by the time of publication.
AI Expert: “I Think We’re All Going to Die”
There’s no shortage of AI doomsday scenarios to go around, so here’s another AI expert who pretty bluntly forecasts that the technology will spell the death of us all, as reported by Bloomberg.
This time, it’s not a so-called godfather of AI sounding the alarm bell — or that other AI godfather (is there a committee that decides these things?) — but a controversial AI theorist and provocateur known as Eliezer Yudkowsky, who has previously called for bombing machine learning data centers. So, pretty in character.
“I think we’re not ready, I think we don’t know what we’re doing, and I think we’re all going to die,” Yudkowsky said on an episode of the Bloomberg series “AI IRL.”