Tech companies hire ethicists to reduce the risk of harm when using AI and to project a utopian vision of the future.
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.
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Unlike other businesses pushing clean nuclear energy, Helion is working on a “pulsed non-ignition fusion system.”
Microsoft Corporation has placed a big bet on Helion by agreeing to purchase power generated by its nuclear fusion process. Helion is also backed by Sam Altman, the OpenAI CEO with whom Microsoft is spearheading the artificial intelligence (AI) race.
Nuclear fusion is the holy grail of clean energy as it promises the generation of power without the emission of carbon or hassles of radioactive nuclear waste.
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Google announced it is rolling out generative AI to its core search engine.
Shortly after Google made several AI-related announcements at its annual developers conference, its parent company Alphabet’s stock shot up by 5% on Wednesday and reportedly made gains of $56 billion to its market value.
Kicking off the conference, saying, “As you may have heard, AI is having a very busy year. So we have lots to talk about,” CEO Sundar Pichai announced that the company is adding Search Generative Experience (SGE) to its search engine by way of AI snapshots. Those who opt for SGE will see an AI-powered snapshot of key information to consider, with links to dig deeper.
Google.
According to an announcement made at Google i/o, people who opt in to Search Generative Experience (SGE) will soon see “AI snapshots” appearing alongside results from Google Search.
MIT researchers developed a technique that captures images of an object from various angles and converts its surface into a virtual sensor that captures reflections.
Imagine seeing around corners or peeking beyond obstacles that once blocked your view. It’s like having X-ray vision. It might now be possible thanks to new research.
A group of brilliant researchers from MIT and Rice University unveiled an incredible computer vision technology that can change how we see the world. We could soon live in a world where shiny objects become extraordinary “cameras” that let us view our surroundings through their unique lenses.
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Microsoft will also contribute its algorithm knowledge to make Builder.ai’s Natasha, an AI assistant, sound more human.
Microsoft Corporation has invested an undisclosed amount in Builder.ai, a no-code builder startup, as it looks to diversify its bets in the artificial intelligence (AI) game. Builder.ai lets users with no technical knowledge or experience in coding build their own apps and manage them.
Microsoft is already ahead in the AI game thanks to its partnership with OpenAI, the maker of the popular chatbot ChatGPT.
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Thanks to advances in artificial intelligence (AI) chatbots and warnings by prominent AI researchers that we need to pause AI research lest it destroys society, people have been talking a little more about the ethics of artificial intelligence lately.
The topic is not new: Since people first imagined robots, some have tried to come up with ways of stopping them from seeking out the last remains of humanity hiding in a big field of skulls. Perhaps the most famous example of thinking about how to constrain technology so that it doesn’t destroy humanity comes from fiction: Isaac Asimov’s Laws of Robotics.
The laws, explored in Asimov’s works such as the short story Runaround and I, Robot, are incorporated into all AI as a safety feature in the works of fiction. They are not, as some on the Internet appear to believe, real laws, nor is there currently a way to implement such laws.