Lifeboat Foundation

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.

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

Continue reading “Walmart Is Giving Up on Its Inventory Robots” »

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.

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.

Continue reading “Unlocking AI’s Potential for Social Good” »

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”…

Continue reading “Fake It or Drop It? Answering the Question” »

“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.

Continue reading “The Next Generation Of Artificial Intelligence” »