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Category: information science – Page 300

The big picture: We’re getting closer to AI doctors

It’s not unrealistic to think that 80% of what doctors do will be replaced by algorithms and artificial intelligence. The idea, evangelized by venture capitalist Vinod Khosla two years ago, is that machines can more accurately diagnosis us — and that will reduce deadly medical errors and free doctors up to do other things.

The bottom line: We’re getting closer to this reality. Algorithms, for example, can already diagnose diseases from imaging scans better than human radiologists. Computers possibly could take over the entire radiology specialty.

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Here’s who’s going to win the World Cup, according to A.I.

Robots aren’t playing professional soccer just yet, but they can certainly help predict it! With the FIFA World Cup kicking off, San Francisco-based tech firm Unanimous A.I. has used its considerable artificial intelligence expertise to predict the outcome of the 32-team men’s soccer tournament. Given that the startup has previously predicted the Super Bowl results successfully right down to the exact final score, we totally think this is worth taking seriously.

“These predictions were generated using swarm A.I. technology,” Louis Rosenberg, founder and CEO of Unanimous A.I., told Digital Trends. “This means it uses a unique combination of human insights and artificial intelligence algorithms, resulting in a system that is smarter than the humans or the machines could be on their own. It works by connecting a group of people over the internet using A.I. algorithms, enabling them to think together as a system, and converge upon predictions that are the optimized combination of their individual knowledge, wisdom, instincts, and intuitions.”

The technology is modeled on the remarkable abilities of swarms in nature, such as swarms of bees, schools of fish, or flocks of birds. These natural swarms combine the insights of large groups in optimized ways. Unanimous’ swarms utilize this same principle to answer complex questions — such as giving precise probability-based outcomes on each game in the World Cup.

What Is Quantum Computing (Future of AI Computing)

Recommended Books ➤

📖 Life 3.0 — http://azon.ly/ij9u
📖 The Master Algorithm — http://azon.ly/excm
📖 Superintelligence — http://azon.ly/v8uf

This video is the ninth in a multi-part series discussing computing and the second discussing non-classical computing. In this video, we’ll be discussing what quantum computing is, how it works and the impact it will have on the field of computing.

[0:28–6:14] Starting off we’ll discuss, what quantum computing is, more specifically — the basics of quantum mechanics and how quantum algorithms will run on quantum computers.

[6:14–9:42] Following that we’ll look at, the impact quantum computing will bring over classical computers in terms of the P vs NP problem and optimization problems and how this is correlated with AI.

[9:42–14:00] To conclude we’ll discuss, current quantum computing initiatives to reach quantum supremacy and ways you can access the power of quantum computers now!

Continue reading “What Is Quantum Computing (Future of AI Computing)” | >

The Brilliant Ways UPS Uses Artificial Intelligence, Machine Learning And Big Data

Autonomous deliveries and drones

UPS execs insist that the UPS driver is a core element to its success and the face of the company, but they have tested the use of drone deliveries for some applications including dropping essential supplies in Rwanda and demonstrating how medicine could be delivered to islands. In rural areas, where drones have open air to execute deliveries and the distance between stops makes it challenging for the drivers to be efficient, drones launched from the roofs of UPS trucks offer a solid solution to cut costs and improve service. Drones could also be deployed in UPS sorting facilities and warehouses to get items on high shelves or in remote areas.

The technology used by UPS generates a cache of data that opens up even more opportunities to become more efficient, improve the customer experience, innovate delivery solutions, and more. From optimizing the UPS network to driving operational improvements, big data and artificial intelligence are at the core of UPS’s business performance.

What Is Cognitive Computing (How AI Will Think)

Recommended Books ➤

📖 Life 3.0 — https://amzn.to/2KZdRU0
📖 The Master Algorithm — https://amzn.to/2jV1egi
📖 Superintelligence — https://amzn.to/2rCXzqQ

This video is the eleventh in a multi-part series discussing computing. In this video, we’ll be discussing what cognitive computing is and the impact it will have on the field of computing.

[0:28–5:09] Starting off we’ll discuss, what cognitive computing is, more specifically – the difference between current computing Von Neuman architecture and more biologically representative neuromorphic architecture and how these two paired together will yield massive performance and efficiency gains!

[5:09–10:46] Following that we’ll discuss, the benefits of cognitive computing systems further as well as current cognitive computing initiatives, TrueNorth and Loihi.

[10:46–17:11] To conclude we’ll extrapolate and discuss the future of cognitive computing in terms of brain simulation, artificial intelligence and brain-computer interfaces!

Continue reading “What Is Cognitive Computing (How AI Will Think)” | >

MIT fed an AI data from Reddit, and now it thinks of nothing but murder

The point of the experiment was to show how easy it is to bias any artificial intelligence if you train it on biased data. The team wisely didn’t speculate about whether exposure to graphic content changes the way a human thinks. They’ve done other experiments in the same vein, too, using AI to write horror stories, create terrifying images, judge moral decisions, and even induce empathy. This kind of research is important. We should be asking the same questions of artificial intelligence as we do of any other technology because it is far too easy for unintended consequences to hurt the people the system wasn’t designed to see. Naturally, this is the basis of sci-fi: imagining possible futures and showing what could lead us there. Issac Asimov gave wrote the “Three Laws of Robotics” because he wanted to imagine what might happen if they were contravened.

Even though artificial intelligence isn’t a new field, we’re a long, long way from producing something that, as Gideon Lewis-Kraus wrote in The New York Times Magazine, can “demonstrate a facility with the implicit, the interpretive.” But it still hasn’t undergone the kind of reckoning that causes a discipline to grow up. Physics, you recall, gave us the atom bomb, and every person who becomes a physicist knows they might be called on to help create something that could fundamentally alter the world. Computer scientists are beginning to realize this, too. At Google this year, 5,000 employees protested and a host of employees resigned from the company because of its involvement with Project Maven, a Pentagon initiative that uses machine learning to improve the accuracy of drone strikes.

Norman is just a thought experiment, but the questions it raises about machine learning algorithms making judgments and decisions based on biased data are urgent and necessary. Those systems, for example, are already used in credit underwriting, deciding whether or not loans are worth guaranteeing. What if an algorithm decides you shouldn’t buy a house or a car? To whom do you appeal? What if you’re not white and a piece of software predicts you’ll commit a crime because of that? There are many, many open questions. Norman’s role is to help us figure out their answers.

General AI, the “holy grail” of AI, demonstrated for the first time

Recently we saw a new “Master algorithm” that could be used to create the first generation of super intelligent machines, and now a team of researchers from Maryland, USA, announced this week that they’ve invented a general Artificial Intelligence (AI) way for machines to identify and process 3D images that doesn’t require humans to go through the tedium of inputting specific information that accounts for each and every instance, scenario, difference, change and category that could crop up, and they claim it’s a world first, even though it follows on from a not too dissimilar breakthrough from Google DeepMind whose own platform, Alpha Zero, recently taught itself a mix of board games including chess to a grand master level, in just four hours.

Volkswagen tests quantum computing in battery research

For the first time, Volkswagen experts have succeeded in simulating industrially relevant molecules using a quantum computer. This is especially important for the development of high-performance electric vehicle batteries. The experts have successfully simulated molecules such as lithium-hydrogen and carbon chains. Now they are working on more complex chemical compounds. In the long term, they want to simulate the chemical structure of a complete electric vehicle battery on a quantum computer. Their objective is to develop a “tailor-made battery”, a configurable chemical blueprint that is ready for production. Volkswagen is presenting its research work connected with quantum computing at the CEBIT technology show (Hanover, June 12–15).

Martin Hofmann, CIO of the Volkswagen Group, says: “We are focusing on the modernization of IT systems throughout the Group. The objective is to intensify the digitalization of work processes – to make them simpler, more secure and more efficient and to support new business models. This is why we are combining our core task with the introduction of specific key technologies for Volkswagen. These include the Internet of Things and artificial intelligence, as well as quantum computing.”

The objective is a “tailor-made battery”, a configurable blueprint Using newly developed algorithms, the Volkswagen experts have laid the foundation for simulating and optimizing the chemical structure of high-performance electric vehicle batteries on a quantum computer. In the long term, such a quantum algorithm could simulate the chemical composition of a battery on the basis of different criteria such as weight reduction, maximum power density or cell assembly and provide a design which could be used directly for production. This would significantly accelerate the battery development process, which has been time-consuming and resource-intensive to date.

The Microsoft approach to quantum computing

Together, this full quantum stack pairs with familiar tools to create an integrated, streamlined environment for quantum processing.

Scalability, from top to bottom

Quantum computers can help address some of the world’s toughest problems, provided the quantum computer has enough high-quality qubits to find the solution. While the quantum systems of today may be able to add a high number of qubits, the quality of the qubits is the key factor in creating useful scale. From the cooling system to qubits to algorithms, scalability is a fundamental part of the Microsoft vision for quantum computing.