The team takes AI personalization to a whole new level.
Researchers at the School of Engineering at Princeton University have successfully deployed a large language model (LLM) to help a robotic manipulator make sense of instructions to tidy up a room.
Continue reading “Princeton researchers help a bot tidy up using large language model” »
David Risher also told CNN the company wants to make travel less stressful, and he doesn’t think Uber and Lyft need to destroy each other to succeed.
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Ever since the launch of ChatGPT in late 2022, AI has grabbed the attention of people and businesses around the world. This technology was previously understood as highly promising but a topic for the future. Today, it has loudly announced itself, catching businesses off-guard as they mobilize to make sense of its exciting potential to automate processes and supercharge efficiencies.
One important aspect to examine is where investors are currently focusing their attention. This latest wave of AI has focused early attention on those startups and businesses already using AI in their products and services (loosely termed AI adopters). Other factors to consider are whether investors are pausing their investments and causing illiquidity in the market. In this, investors consider likely consequences and disruptions across industries and update their commercial and technical due diligence approaches as they look to side-step hazards and seize opportunities.
AI threatens to shift even more power from workers to the wealthy, shrinking tax bases and weakening governments, writes economist Yingying Lu.
Elon Musk, the genius behind SpaceX and Tesla Inc., has declared that humanity must embrace the merging of man and machine if we hope to survive in a world dominated by artificial intelligence (AI).
In a 2018 appearance on the “Joe Rogan Experience,” Musk teased his company Neuralink has something exciting in store for us. He believes his technology will allow humans to achieve a state of “symbiosis” with AI, where we’ll be able to effortlessly combine our brains with computers. Neuralink has been developing brain implants since 2016 with the goal of curing conditions like paralysis and blindness.
The market for AI companions is heating up as creators find new ways to make money with ChatGPT APIs. Here’s a look at virtual girlfriend CarynAI powered by startup Forever Voices and big players like Greylock-backed Inflection AI moving into the space.
Tech companies hire ethicists to reduce the risk of harm when using AI and to project a utopian vision of the future.
The ImageBind model combines six types of information: text, audio, visual, movement, thermal, and depth data.
Artificial Intelligence and Machine Learning are two terms that are commonly used interchangeably. But they are not the same thing. Artificial Intelligence is a field which contains a lot of sub-fields, including Machine Learning.
In this article I hope to comprehensively differentiate between AI and Machine Learning. I’ll explain how Machine Learning is not the same thing as Artificial Intelligence, but rather a part of it – like a cog amongst many cogs that makes up the machine which is Artificial Intelligence.
To begin, I’ll discuss the two concepts separately, describe their subsets, and then state the relationship binding the two of them. I’ll explain how Machine Learning, as a cornerstone concept, fits into AI as a field.
Twitter CEO Elon Musk has bought around 10,000 graphics cards and is hiring AI experts to build a ChatGPT competitor within Twitter, Insider reports.
That’s despite the billionaire CEO repeatedly voicing concerns over AI chatbots like ChatGPT, and even signing an open letter calling for a six-month moratorium on developing AIs more advanced than OpenAI’s GPT-4.
Training a large language model like OpenAI’s highly popular AI chatbot takes a lot of computational power, which means Musk had to dig deep in his sizeable pockets — tens of millions of dollars, according to Insider — to finance the project.
