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Category: business – Page 188

Sony launches Airpeak drone business to support ‘video creators’

Sony wants a bigger piece of the drone market. Today, the Japanese giant unveiled a project called Airpeak, which will “support the creativity of video creators to the fullest extent possible,” according to a cryptic press release. That makes it sound like Sony wants to take on consumer-focused drone makers such as DJI, Parrot and Skydio. Which makes a lot of sense, given Sony’s expertise in the compact and full-frame mirrorless camera markets. If you’re a vlogger or independent filmmaker that already uses Sony gear, you might be tempted by a drone with similar technology. If nothing else, it would make it easier to color correct and combine footage.

In the press release, though, Sony notes how drones have led to “workflow efficiency and energy savings in the industrial sector.” It adds: “Sony has assigned the ‘Airpeak’ brand to reflect its aspiration to contribute to the further evolvement and the creation of the unprecedented value through its imaging and sensing technology as well as 3R technologies (Reality, Real-time and Remote) in the drone area.” So it a consumer or enterprise play? We’re hoping its the former. The company already has Aerosense — a business-focused drone collaboration with ZMP — which specializes in surveying, capturing live events and creating maps from drone imagery.

Walmart Is Giving Up on Its Inventory Robots

Looks like inventory robots won’t be replacing humans in Walmart for now. 😃

I’m a bit sad for the supplier of the robots. But I’m glad that people will keep their jobs in Walmart.

Bitter Reality

Unfortunately, the news was devastating for Bossa Nova, the robotics firm that provided Walmart with its inventory robots. The firm, a Carnegie Mellon University-born startup, laid off half of its staff as it tries to drum up replacement business.

“We see an improvement in stores with the robots,” Walmart told Bossa Nova, someone familiar with the deal told the WSJ, “but we don’t see enough of an improvement.”

Virgin Hyperloop Wonders: What Does 600 MPH Travel Do to the Brain?

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!

Unlocking AI’s Potential for Social Good

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

Variously described as biohacking or Human 2.0, human augmentation technologies have the potential to enhance human performance for good or ill.

Deci raises $9.1M to optimize AI models with AI

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.

The Deck Is Not Rigged: Poker and the Limits of AI

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.

Fake It or Drop It? Answering the Question

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

Thanks to my job, I have a lot of opportunities to meet and exchange opinions with startup people, who need to constantly engage in innovation. And one question was frequently asked – Is “fake it till you make it” a reasonable thing to do? Or, put it another way, 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?

The Next Generation Of Artificial Intelligence

“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.”

Full Story:

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.

Three Tissue Engineering Projects Awarded From Joint National Science Foundation and CASIS Solicitation to Leverage the Space Station

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.

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