DeepLens is essentially a small Ubuntu- and Intel Atom-based computer with a built-in camera that’s powerful enough to easily run and evaluate visual machine learning models. In total, DeepLens offers about 106 GFLOPS of performance.
How Watson learned, in five steps: Watson was trained. In Portuguese and in banking by a dedicated team with 10,000 customer questions. Watson was tested. In a limited number of branches until the bank was satisfied with the responses. Watson was launched. And made available to the employees of all 5,200 branches nationwide. Watson got results. And as employees began to trust Watson, response times were reduced from 10 minutes to a few seconds. Watson keeps learning. And improving, thanks to feedback on over 10 million interactions.
The goal of algorithms must not be to replace, manipulate, or deceive in the name of profit. This is all too often the case as black-box algorithms use massive amounts of data to attract eyeballs, encourage clicks, and, in more dire circumstances, even determine if someone goes to prison.
It’s the full and complete game as present on consoles, it’s iOS-first and it supports cross-platform play with console and PC players.
White space is your friend. Be open to things you didn't imagine. Be confident, not arrogant. Nothing takes a second. Don't be rude. Tell me the problem, not the solution. Decide who will decide. Have clarity of purpose.
The new paradigm of Ethereum development brings with it many moving parts. Smart contracts, distributed applications (or “dapps”, sometimes stylized “ĐApps”), the “ether” cryptocurrency, a world-wide virtual machine where work is measured in “gas”—all of this is in addition to the basic underlying blockchain technology. Navigating this isn’t anywhere close to being second nature for most people, even from a user standpoint. That said, how can a non-expert make a reasonable assessment of a potential Ethereum developer candidate?
Most of us want to look good online, need a website, maybe even a logo. More and more individuals and organizations are discovering that they need to hire a professional. It comes down to doing your homework. Be clear with yourself before you spend a nickel or a minute with a designer. This difficult internal conversation will save you endless frustration and heartache later. Here are four postures to consider in working with a good (or great) designer:
So, if you searched for "best" and ended up here, well, you're welcome. So, while this is not the authoritative list, it is a list of some very solid branding and identity designs that have turned up over the last few years.
As the IoT grows to encompass an increasing number of things, AI and machine will enable these things to operate autonomously or semi-autonomously. For example, a robotic vacuum with computer vision could navigate and clean a house with minimal intervention. As the technology advances, swarms of intelligent things will work collaboratively to achieve a goal.
Since then (February 2014), Nadella has not only restored Microsoft to relevance; he’s generated more than $250 billion in market value in just three and a half years—more value growth over that time than Uber and Airbnb, Netflix and Spotify, Snapchat and WeWork. How Nadella turned things around comes back to the book he had his top lieutenants read, and the culture that took hold from there. He has inspired the company’s 124,000 employees to embrace what he calls “learn-it-all” curiosity (as opposed to what he describes as Microsoft’s historical know-it-all bent) that in turn has inspired developers and customers—and investors—to engage with the company in new, more modern ways.
The technology, media and telecommunications industry has the highest expectations for AI to accelerate new product and service offerings of all industries tracked in the study, projecting a 52% point increase in the next five years...Customer-facing activities including marketing automation, support, and service in addition to IT and supply chain management are predicted to be the most affected areas by AI in the next five years.
With massive amounts of data from Whole Foods shoppers, Amazon will ultimately be able to tailor the grocery shopping experience to the individual.
In 2015, spending for AI was $300-350 million. Its projection for 2025: $30 billion. What gives? At risk of sounding crazy, AI is changing the entire creative process. In a new wave of computer-human “collaboration,” companies are already using AI to create effective movie plot points based on box office performance, and one company recently used AI to create a horror movie trailer based on trailers the AI had already processed and annexed.
The ONE Architecture is remarkable in two ways: first, AI (in the form of Watson) represents an entire layer, indicating the breadth of IBM’s bet on the technology. The second remarkable aspect of the architecture is what it’s missing: most of the traditional layers of a strategic technology architecture, like databases, middleware, and the like – now all rolled into the Cloud.
From virtual assistants to image recognition to self-driving cars, we’re only just beginning to scratch the surface of how AI-related technology will impact our daily lives and transform how businesses operate. IBM’s Chief Innovation Officer Bernie Meyerson optimistically predicts 2017 will be “the year of the solution as opposed to the year of the experiment.”
As new technologies such as artificial intelligence and machine learning are poised to take the lead in crafting our digital experiences, it is important to consider a negative aspect of this trend: the choices that are being taken away from us.