5 things about AI you may have missed today: AI flood prediction, AI humour and much more

AI Roundup: AI predicts South America and Africa floods, Breakthrough AI system MinD-Vis recreates visual experiences and much more today.

| Updated on: Aug 21 2023, 19:49 IST
Chandrayaan-3: 5 points to know as moon landing date looms large
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1/6 Chandrayaan-3 was launched on  July 14 from the Satish Dhawan Space Centre in Sriharikota with the help of a GSLV Mark 3 (LVM 3) heavy-lift launch vehicle. Here are 5 points to know: (PTI)
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2/6 As Chandrayaan-3 moves into its final phase of landing the lander on the moon, former Chief Controller (R&D) of the DRDO Dr Apathukatha Sivathanu Pillai, said that it will be "100% successful". The landing date is likely August 23.  (PTI)
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3/6 Progress is rapid and on schedule and recently, ISRO has even shared videos of the Moon along with Earth captured by the Vikram lander.  (ISRO)
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4/6 The lander reached an orbit with its closest point to the moon (Perilune) at 30 km. The farthest point (the Apolune) will be 100 km. ( REUTERS)
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5/6 . ISRO has revealed that the next deboosting operation for Chandrayaan-3 mission landing on the moon is scheduled for August 20, 2023. (REUTERS)
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6/6 Dr Pillai explained the importance of Chandrayaan-3 to ANI and said, "It will enable the identification of various lunar resources, particularly Helium-3, which holds promise as a future energy source." (ISRO Twitter)
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Know what’s happening in the AI universe today, August 21. (Pixabay)

Google's AI tool predicts floods in South America and Africa with a four-day early warning period; Breakthrough AI system MinD-vis recreates visual experiences from brain waves; Apple's iPhone 15 launch and AI developments; Contextual AI teams up with Google Cloud to advance generative AI for enterprises - this and more in our daily roundup. Let us take a look.

1. Google's AI tool predicts floods

Google's AI flood prediction system, Flood HubGoogle, has achieved a breakthrough by forecasting floods up to four days in advance, according to a NewsScientist report. This technology, initially successful in data-rich regions like Europe and the US, now extends its reach to data-poor areas, notably South America and Africa. By employing transfer learning, Google's AI leverages knowledge from well-measured regions to make precise predictions in regions lacking reliable data, addressing a critical challenge in global flood prediction.

2. Breakthrough AI system MinD-Vis recreates visual experiences from brain waves

An AI system called MinD-Vis can interpret brain waves to recreate visual experiences. Singaporean researchers aim to integrate MinD-Vis into VR headsets, enabling mind-controlled interactions in a metaverse. By analysing brain scans of 58 participants exposed to diverse images during MRI scans, MinD-Vis crafts individual AI models, according to a euronews report. This "mind-reading" technology translates brain activity into images, resembling what participants see. Potentially, it holds promise for future applications for assisting people.

3. Apple's iPhone 15 launch and AI developments: stock uptrend potential

As anticipation builds for the iPhone 15 launch, questions arise about its potential to reignite Apple's stock rally. According to reports from MarketBeat, Speculation abounds regarding whether AI innovations could hold the key to reversing the stock's fortunes. Notably, Warren Buffett's Berkshire Hathaway has a substantial stake in Apple. While Apple is discreet about its generative AI initiatives, reports suggest the development of an AI-driven chatbot, possibly indicating untapped potential for investors, though some may opt for a more cautious approach.

4. Contextual AI teams up with Google Cloud to advance generative AI for enterprises

Contextual AI has formed a strategic partnership with Google Cloud to empower its enterprise-focused generative AI endeavours. Contextual AI, emerging from stealth mode, aims to develop customizable, privacy-conscious AI models for businesses. Google Cloud's leadership in generative AI and robust AI/ML infrastructure, including GPU VMs and Tensor Processing Units (TPUs), will facilitate the training and scaling of Contextual AI's large language models, marking a significant collaboration, Cision PR Newswire reported.

5. Do AI models, like GPT, truly understand humour?

At ACL '23, a "Best Paper Award" winner investigated if AI models like GPT truly comprehend humour. The study, led by Jack Hessel from the Allen Institute for AI (AI2), scientifically examined the ability of large neural networks to grasp jokes. Co-authors, including Ana Marasovic, Jena Hwang, Lillian Lee, Jeff Da, Rowan Zellers, Robert Mankoff, and Yejin Choi, aimed to explore the depth of AI's ability to understand humor. According to the report, "The researchers discovered that there's much room for improvement for AI to come close to achieving a human-level understanding of humor."

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First Published Date: 21 Aug, 19:49 IST