This series looks at concepts such as Artificial Intelligence, Transhumanism, Cybernetics, Androids, Robots, and Augmenting the human or animal mind.
While traditional computers use magnetic bits to represent a one or a zero for computation, quantum computers use quantum bits or qubits to represent a one or a zero or simultaneously any number in between.
Today’s quantum computers use several different technologies for qubits. But regardless of the technology, a common requirement for all quantum computing qubits is that it must be scalable, high quality, and capable of fast quantum interaction with each other.
IBM uses superconducting qubits on its huge fleet of about twenty quantum computers. Although Amazon doesn’t yet have a quantum computer, it plans to build one using superconducting hardware. Honeywell and IonQ both use trapped-ion qubits made from a rare earth metal called ytterbium. In contrast, Psi Quantum and Xanadu use photons of light.
A new European satellite will use machine learning to provide rapid, low-cost information on soil conditions to enable smarter agriculture. The project is a model for what novel sensors and artificial intelligence technology can do in a vehicle no bigger than a shoebox.
Edge computing is a fashionable buzz-phrase for the technique of shifting the processing power away from the server farms of the internet and out to where the data is being collected. According to some, edge computing is the next great tech revolution, and in the case of satellites, where communications bandwidth is severely limited, it could be transformational.
The Intuition-1 satellite program will provide soil data to drive European precision agriculture projects, which involve applying fertilizer only when and where needed rather than treating an entire field. Precision agriculture is both more economical and easier on the environment — the catch is that it requires detailed information about soil conditions on a small scale. At present, establishing levels of soil nutrients in sufficient detail involves taking samples from multiple locations and sending them to a laboratory for analysis. This typically takes about three weeks.
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.
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” »
