Lifeboat Foundation

Stepping closer to AI regulation.

As AI continues to develop at a rapid rate, concerns have been raised by experts and the so-called AI ‘godfathers’ about the imminent risks it could pose to people’s privacy, human rights, and safety.

Amid steps taken by the United Kingdom government and the European Union, in partnership with the U.S, to regulate the technology, a member of the non-statutory AI Council of the U.K. government has said that the very powerful artificial general intelligence (AGI) systems may eventually have to be banned.

Midcap information technology (IT) services firm, Mphasis, on Thursday, announced the setting up of a business unit dedicated to generative artificial intelligence (AI). The unit will offer advisory on adoption of generative AI solutions to clients, develop the company’s own generative AI properties, offer licenses to over 250 AI models through the company’s ‘Hyperscaler’ solutions marketplace for clients, partnerships with 50 startups for helping clients build solutions, and offer conversational AI tools such as chatbots for clients to deploy in their business.

Anup Nair, who has so far served as senior vice-president and chief technology officer (CTO) of Mphasis Digital, will helm the unit, called Mphasis.ai, as its chief architect and CTO.

The launch of the dedicated business unit comes after a flurry of similar launches by pretty much every large-cap IT services firm in the country. On 6 April, Tech Mahindra became the first of the large domestic IT firms to launch a generative AI solution, called ‘Generative AI Studio’, to help clients deploy the technology for content generation use cases.

Joscha Bach is a cognitive scientist focusing on cognitive architectures, consciousness, models of mental representation, emotion, motivation and sociality.

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Continue reading “Joscha Bach: Time, Simulation Hypothesis, & Existence” »

Researchers in Canada and the United States have used deep learning to derive an antibiotic that can attack a resistant microbe, acinetobacter baumannii, which can infect wounds and cause pneumonia. According to the BBC, a paper in Nature Chemical Biology describes how the researchers used training data that measured known drugs’ action on the tough bacteria. The learning algorithm then projected the effect of 6,680 compounds with no data on their effectiveness against the germ.

In an hour and a half, the program reduced the list to 240 promising candidates. Testing in the lab found that nine of these were effective and that one, now called abaucin, was extremely potent. While doing lab tests on 240 compounds sounds like a lot of work, it is better than testing nearly 6,700.

Interestingly, the new antibiotic seems only to be effective against the target microbe, which is a plus. It isn’t available for people yet and may not be for some time — drug testing being what it is. However, this is still a great example of how machine learning can augment human brainpower, letting scientists and others focus on what’s really important.

Vice President of AI & Quantum Computing, Paul Smith-Goodson gives his analysis of quantum machine learning models and IonQ’s strategy to make it a reality.

The emergence of AI language-modelling tools could end my endeavour as a blogger.

AutoGPT makes writing this blog by me and other contributors seem irrelevant as it does for a whole bunch of human-generated services.

Last video: The 2023 Tesla AI Update Is Here!

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Continue reading “Neuralink Begins Human Trials!” »

USC Dornsife researchers employ artificial intelligence to unveil the intricate world of DNA structure and chemistry, enabling unprecedented insights into gene regulation and disease.

Human intelligence may be just a brief phase before machines take over. That may answer where the aliens are hiding.