Lifeboat Foundation

Every one of us has a magical tool in our pockets or purses. We should be able to enter an unknown building, navigate to our desired location, know where the elevators are, and gain access seamlessly.

But we can’t.

Our buildings cost millions or even billions of dollars. They have the latest technology. But they don’t know how many people are in them. They don’t know when to turn the lights off, or learn when to start warming or cooling office or meeting space. They don’t reposition elevators for maximum efficiency, and they can’t tell first responders where the fire is, where the medical emergency is, or what the quickest route up is. Nor can they tell occupants that the air is clean today, or that there’s an elevated level of volatile organic compounds because the floors were just waxed yesterday.

There are billions of people around the world whose online experience has been shaped by algorithms that utilize artificial intelligence (AI) and machine learning (ML). Some form of AI and ML is employed almost every time people go online, whether they are searching for content, watching a video, or shopping for a product. Not only do these technologies increase the efficiency and accuracy of consumption but, in the online ecosystem, service providers innovate upon and monetize behavioral data that is captured either directly from a user’s device, a website visit or by third parties.

Advertisers are increasingly dependent on this data and the algorithms that adtech and martech employ to understand where their ads should be placed, which ads consumers are likely to engage with, which audiences are most likely to convert, and which publisher should get credit for conversions.

Additionally, the collection and better utilization of data helps publishers generate revenue, minimize data risks and costs, and provide relevant consumer-preference-based audiences for brands.

Fundamental Research On Ethical & Trustworthy Artificial Intelligence, For Health, Environment, And A Sustainable Future — Dr. Patrick van der Smagt, Ph.D., Director, ArtificiaI Intelligence Research, Volkswagen.

Dr. Patrick van der Smagt is Director of ArtificiaI Intelligence Research, Volkswagen AG, and Head of Argmax. AI (https://argmax.ai/), the Volkswagen Group Machine Learning Research Lab, in Munich, focusing on a range of research domains, including probabilistic deep learning for time series modelling, optimal control, reinforcement learning robotics, and quantum machine learning.

Continue reading “Dr Patrick van der Smagt, Director, ArtificiaI Intelligence Research, Volkswagen AG — Head Argmax.AI” »

IBM’s new Quantum Computer breaks the current world record in terms of Qubits and ushers in a new era of quantum supremacy. It’s also IBM’s last chance of potentially undoing its rise and fall among the biggest tech companies in the world that has been occuring these last few years. The Eagle Quantum computer has 127 qubits and can outperform the fastest supercomputers in the world in certain tasks and calculations. Whether or not Google’s Quantum AI company will come back from behind is currently uncertain. But one thing is for sure: The future of Quantum Computers does look very bright.
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TIMESTAMPS:
00:00 IBM’s Last Chance.
01:23 The competetive field of Quantum Computing.
02:19 How this Quantum Computer was made.
04:00 What is Neven’s Law?
06:35 And the goal of all this is…
09:22 Last Words.
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#ibm #quantumcomputer #ai

Image: FimerSpa

The new PVS-350 string inverter from the Italian manufacturer Fimer offers an efficiency of more than 99 per cent. It is optimised for decentralised topologies in solar fields and has an output of 350 kilowatts.

Microsoft has released SynapseML, a new open source project designed to make it easier to create AI model pipelines.

Artificial Intelligence is starting to surpass humans even in creative works now. A robot has written and directed the first feature movie that was actually released for the public to see. In fact, it’s a lot better than many movies that real humans have made so far. While still surreal and a bit funny in some parts of the AI generated script, it’s still one of the most impressive videos and movies made by AI Bots so far.

Generative Pre-trained Transformer 3 (GPT-3) is an autoregressive language model that uses deep learning to produce human-like text. Maybe OpenAI GPT-4 or GPT4 will be even better in 2021.
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Continue reading “This Movie was Written By AI — Bots Writing Movie Scripts” »

The next full Moon is a near-total lunar eclipse, the Beaver, Frost/Frosty, or Snow Moon; Kartik Purnima, the full Moon of the Festivals of Karthika Deepam, Karthikai Vilakkidu, Thrikarthika, Loi Krathong, Bon Om Touk, and Tazaungdaing; and Ill (or Il) Poya.

The next full Moon will be early on Friday morning, November 19, 2021, appearing opposite the Sun (in Earth-based longitude) at 3:58 a.m. EST. While this will be on Friday for much of the Earth, it will be Thursday night from Alaska’s time zone westward to the International Date Line in the Pacific Ocean. The Moon will appear full for about three days around this time, from Wednesday night through Saturday morning.

This should be a good month for skywatching, with Venus.

At long last, physicists from Harvard and MIT have found the killer application for quantum computing: a Mario Bros. GIF made from qubits. The qubits (quantum bits) can also be arranged in a Space Invaders design, or Tetris, or any other shape—your geometrical wish is the qubits’ command.

The GIFs are from QuEra Computing, a Boston startup emerging from stealth, to show off the programmability of their 256-qubit quantum simulator —a special-purpose quantum computer built for solving certain types of problems.