Many Machine Learning and AI algorithms are centralized, with no transparency in the process. Now a blockchain-based start-up aims to improve transparency bias in business workflows.
Category: business – Page 169
Virgin Hyperloop, the transportation company owned by business magnate Richard Branson, has ambitious plans to build a vacuum tube transportation system that travels over 600 miles per hour.
But before it does so, the company has made the reasonable decision to figure out what traveling that quickly might to do the brain. To wit, scientists at West Virginia’s Rockefeller Neurosciences Institute (RNI) will find out what to expect when launching passengers at 78 percent the speed of sound.
Hold on to your brains!
Three actions policymakers and business leaders can take today.
New developments in AI could spur a massive democratization of access to services and work opportunities, improving the lives of millions of people around the world and creating new commercial opportunities for businesses. Yet they also raise the specter of potential new social divides and biases, sparking a public backlash and regulatory risk for businesses. For the U.S. and other advanced economies, which are increasingly fractured along income, racial, gender, and regional lines, these questions of equality are taking on a new urgency. Will advances in AI usher in an era of greater inclusiveness, increased fairness, and widening access to healthcare, education, and other public services? Or will they instead lead to new inequalities, new biases, and new exclusions?
Three frontier developments stand out in terms of both their promised rewards and their potential risks to equality. These are human augmentation, sensory AI, and geographic AI.
Human Augmentation
Deci, a Tel Aviv-based startup that is building a new platform that uses AI to optimized AI models and get them ready for production, today announced that it has raised a $9.1 million seed round led by Emerge and Square Peg.
The general idea here is to make it easier and faster for businesses to take AI workloads into production — and to optimize those production models for improved accuracy and performance. To enable this, the company built an end-to-end solution that allows engineers to bring in their pre-trained models and then have Deci manage, benchmark and optimize them before they package them up for deployment. Using its runtime container or Edge SDK, Deci users can also then serve those models on virtually any modern platform and cloud.
Tuomas Sandholm, a computer scientist at Carnegie Mellon University, is not a poker player—or much of a poker fan, in fact—but he is fascinated by the game for much the same reason as the great game theorist John von Neumann before him. Von Neumann, who died in 1957, viewed poker as the perfect model for human decision making, for finding the balance between skill and chance that accompanies our every choice. He saw poker as the ultimate strategic challenge, combining as it does not just the mathematical elements of a game like chess but the uniquely human, psychological angles that are more difficult to model precisely—a view shared years later by Sandholm in his research with artificial intelligence.
“Poker is the main benchmark and challenge program for games of imperfect information,” Sandholm told me on a warm spring afternoon in 2018, when we met in his offices in Pittsburgh. The game, it turns out, has become the gold standard for developing artificial intelligence.
Tall and thin, with wire-frame glasses and neat brow hair framing a friendly face, Sandholm is behind the creation of three computer programs designed to test their mettle against human poker players: Claudico, Libratus, and most recently, Pluribus. (When we met, Libratus was still a toddler and Pluribus didn’t yet exist.) The goal isn’t to solve poker, as such, but to create algorithms whose decision making prowess in poker’s world of imperfect information and stochastic situations—situations that are randomly determined and unable to be predicted—can then be applied to other stochastic realms, like the military, business, government, cybersecurity, even health care.
By estimating how much time you need.
https://bit.ly/3jwJDYs from Neurozo Innovation
How can we tell whether an idea is truly impossible (so one should not fake it and had better give it up as soon as possible) or just very hard to achieve? In this article, we answer the question on the basis of “time”…
#innovation #invention #technology #startups #business
“What will the next generation of artificial intelligence look like? Which novel AI approaches will unlock currently unimaginable possibilities in technology and business? This article highlights three emerging areas within AI that are poised to redefine the field—and society—in the years ahead. Study up now.”
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If anything, this breakneck pace is only accelerating. Five years from now, the field of AI will look very different than it does today. Methods that are currently considered cutting-edge will have become outdated; methods that today are nascent or on the fringes will be mainstream.
What will the next generation of artificial intelligence look like? Which novel AI approaches will unlock currently unimaginable possibilities in technology and business? This article highlights three emerging areas within AI that are poised to redefine the field—and society—in the years ahead. Study up now.
KENNEDY SPACE CENTER (FL), October 19, 2020 – The Center for the Advancement of Science in Space (CASIS) and the National Science Foundation (NSF) announced three flight projects that were selected as part of a joint solicitation focused on leveraging the International Space Station (ISS) U.S. National Laboratory to further knowledge in the fields of tissue engineering and mechanobiology. Through this collaboration, CASIS, manager of the ISS National Lab, will facilitate hardware implementation, in-orbit access, and astronaut crew time on the orbiting laboratory. NSF invested $1.2 million in the selected projects, which are seeking to advance fundamental science and engineering knowledge for the benefit of life on Earth.
This is the third collaborative research opportunity between CASIS and NSF focused on tissue engineering. Fundamental science is a major line of business for the ISS National Lab, and by conducting research in the persistent microgravity environment offered by the orbiting laboratory, NSF and the ISS National Lab will drive new advances that will bring value to our nation and spur future inquiries in low Earth orbit.
Microgravity affects organisms—from viruses and bacteria to humans, inducing changes such as altered gene expression and DNA regulation, changes in cellular function and physiology, and 3D aggregation of cells. Spaceflight is advancing research in the fields of pharmaceutical research, disease modeling, regenerative medicine, and many other areas within the life sciences. The selected projects will utilize the ISS National Lab and its unique environment to advance fundamental and transformative research that integrates engineering and life sciences.
Featured image: TransAlta / Twitter One of Tesla’s main goals is the deployment of energy generation and storage systems. These microgrids can provide electricity to homes, relieving our dependence on a mine-and-burn hydrocarbon economy. Tesla currently has over 120 operational microgrids around the world, which is an excellent confirmation of the company’s success in achieving its goals.
SOUTHLAKE, Texas, Oct. 22, 2020 /PRNewswire/ — Sabre Corporation (NASDAQ: SABR), the leading software and technology company that powers the global travel industry, today announced that Sabre and Google are developing an Artificial Intelligence (AI)-driven technology platform that is an industry first in travel. The technology, known as Sabre Travel AI™, is infused with Google’s state-of-the-art AI technology and advanced machine-learning capabilities that will help customers to deliver highly relevant and personalized content more quickly, deliver personalized content that better meets the demands of today’s traveler, and create expanded revenue and margin growth opportunities. The Company is integrating Sabre Travel AI into certain products in its existing portfolio, with plans to bring those to market in early 2021.
“Sabre Travel AI is a game-changer. We are proud to be working with Google to build technologies that will seek to re-define the way travel companies do business, and turn the insights derived from analyses into repeatable, scalable operations. The development of Sabre Travel AI marks a milestone in our technology transformation and a significant step toward achieving our 2025 vision of personalized retailing,” said Sundar Narasimhan, president of Sabre Labs. “With the creation of Sabre Travel AI, we are rebuilding our platform on cloud-native, data-driven technology that can be integrated into the existing and future products that Sabre offers. We are combining Google Cloud’s infrastructure, AI and machine-learning capabilities with Sabre’s deep travel domain knowledge to create, not next, but third-generation solutions that we believe are smarter, faster and more cost-effective – a first-of-its kind in travel.”