Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: robotics/AI – Page 1445

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.

Read more | >

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.

Read more | >

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.

Dr. van der Smagt is also a research professor in the Computer Science faculty at Eötvös Loránd University in Budapest.

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.
–
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.
–
#ibm #quantumcomputer #ai

Read more | >

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.
–

If you enjoyed this video, please consider rating this video and subscribing to our channel for more frequent uploads. Thank you! smile
–
TIMESTAMPS:
00:00 A real AI Generated Movie.
02:00 How the movie was made.
03:04 How the Artificial Intelligence was made.
04:18 How it was perceived.
06:12 Last Words.
–
#ai #robot #movie

Read more | >

Nvidia (NVDA) CEO Jensen Huang doesn’t see the global chip shortage coming to an end anytime soon. The head of the largest chip maker by market cap, Huang is fresh off his virtual keynote at Nvidia’s GTC conference where he announced advances in the company’s metaverse and AI efforts.

But Nvidia still makes the bulk of its revenue, about 47% in Q2, from the sale of its gaming cards. And those continue to be in short supply due to the pandemic-induced chip crisis.

“I think that through the next year, demand is going to far exceed supply. We don’t have any magic bullets in navigating the supply chain,” Huang told Yahoo Finance Live on Wednesday.

Read more | >

By Watching Unlabeled Videos.

Recent advances in machine learning (ML) and artificial intelligence (AI) are increasingly being adopted by people worldwide to make decisions in their daily lives. Many studies are now focusing on developing ML agents that can make acceptable predictions about the future over various timescales. This would help them anticipate changes in the world around them, including the actions of other agents, and plan their next steps. Making judgments require accurate future prediction necessitates both collecting important environmental transitions and responding to how changes develop over time.

Previous work in visual observation-based future prediction has been limited by the output format or a manually defined set of human activities. These are either overly detailed and difficult to forecast, or they are missing crucial information about the richness of the real world. Predicting “someone jumping” does not account for why they are jumping, what they are jumping onto, and so on. Previous models were also meant to make predictions at a fixed offset into the future, which is a limiting assumption because we rarely know when relevant future states would occur.

A new Google study introduces a Multi-Modal Cycle Consistency (MMCC) method, which uses narrated instructional video to train a strong future prediction model. It is a self-supervised technique that was developed utilizing a huge unlabeled dataset of various human actions. The resulting model operates at a high degree of abstraction, can anticipate arbitrarily far into the future, and decides how far to predict based on context.

Continue reading “Google AI Proposes Multi-Modal Cycle Consistency (MMCC) Method Making Better Future Predictions” | >

The new feature is part of Google’s Business Messages, a conversational messaging service that allows organizations to connect with people via Google Search, Google Maps, or their own business channels. For instance, Albertsons used Business Messages to share information with customers about vaccine administration. Suppose someone searched on Google for Safeway (an Albertson’s company). In that case, they could use the “message” button on Google Search to receive information like vaccine availability and how to book an appointment.

The new Bot-in-a-Box feature lets businesses launch a chatbot with an existing customer FAQ document, whether it’s from a web page or an internal document, to keep the service simple. The feature uses Google’s Dialogflow technology to create chatbots that can automatically understand and respond to customer questions without writing any code.

Read more | >