Gideon Kimbrell, CEO of InList.com, discusses how AI can help us herald a more compassionate world. He brings in several examples such as an AI-based tool that uses social media and other data to pick good candidates for peer leaders among homeless youths around Los Angeles.
He also gives tips for how to think about where we can apply AI for the bettering of society: 1) determine the social areas with the most need, 2) encourage active education, 3) start small, and 4) seek partners that will help support your vision of social impact.
As AI algorithms infiltrate the enterprise, organisational learning matters as much as machine learning. Michael Schrage in the Harvard Business Review asks, “How should smart management teams maximize the economic value of smarter systems?”
He argues that strategically speaking, a brilliant data-driven algorithm typically matters less than thoughtful UX design. Thoughtful UX designs can better train machine learning systems to become even smarter. The most effective data scientists I know learn from use-case and UX-driven insights. At one industrial controls company, for example, the data scientists discovered that users of one of their smart systems informally used a dataset to help prioritize customer responses. That unexpected use case led to a retraining of the original algorithm.
Living off grid doesn’t mean that you should forego enjoying the benefits of smart home technology. To prove this point, Delaware-based startup company PassivDom has introduced an autonomous self-learning 3D-printed mobile house at the recent StartupGrind Conference in Silicon Valley. It was the first presentation of this project on a global stage.
Available in sizes ranging from 380 square feet to 1,550 square feet, the innovative homes are sold completely ready for living, with furniture, household appliances, a kitchen, shower, and even pillows provided. Go here for pricing, a list of amenities included in each model, and more information.
More than a year after joining forces, Dimension Data and Cisco have said their goodwill project Connected Conservation reduced rhinoceros poaching in a South African game reserve next to the Kruger National Park by 96 percent in 2016, thanks to the use of a solution involving networks, security, Internet of Things (IoT) connectivity, and hybrid cloud computing.
“The goal of our end-to-end technology solution is to proactively intervene and stop people entering the reserve illegally — whether it’s cutting fences, being dropped onto the ground by helicopters, or simply driving through the entrance,” Bruce Watson, Data Dimension’s Cisco Alliance group executive said. “Over time, the solution will be replicated in other reserves in South Africa, Africa, and globally.”
You may not be aware, but Uber offers an open source version of the data visualization framework it uses internally, called deck.gl. The tool was made available to anyone via open source license last November, and now it’s getting some key updates that should help make it more useful to external teams and individuals looking for interesting ways to take their
data and turn it into compelling visual representations.
The updates to the framework make it possible to go beyond maps, to visual data sets from machine learning and other more abstract use cases, including network traffic and more. The team also focused on usability, making it easier than ever to work with for developers with better documentation, as well as new demonstration projects.
Facebook’s AI assistant, known simply as M, will now pop into your Messenger chat windows to suggest actions it can take on your behalf, the company announced yesterday. Facebook first began testing this feature in December, and it appears ready to be unleashed on the public.
The current system works by analyzing your conversation and looking for key words to trigger M’s suggestive capabilities. Those capabilities include sending stickers on your behalf, initiating payment requests through Messenger, calling a ride-hailing app like Uber and Lyft, starting a poll for group chat participants, and sharing your location with others.
The German automaker announced a $180 million investment into Chinese firm Mobvoi on Thursday. The tie-up will focus on implementing Mobvoi’s AI technology, such as its voice recognition feature and a smart rearview mirror, to help improve drivers’ experiences.
“We are impressed by Mobvoi’s innovative approach of AI technologies, and we are pleased to form this joint venture to explore the next generation of smart mobility,” Jochem Heizmann, CEO of Volkswagen China said in the joint statement.
The Adobe Research team has been exploring what the future may hold for selfie photography powered by Adobe Sensei. Great portrait photography requires the right perspective, equipment, and editing expertise. But what happens when we tap into the power of artificial intelligence and deep learning to transform bad portrait shots into good ones – all on a smartphone?
By combining perspective effect editing, automatic, software-only photo masking, and photo style transfer technology, we’re able to
transform a typical selfie into a flattering portrait with a pleasing depth-of-field effect that can also replicate the style of another portrait photo.
It uses computer vision algorithms to analyze the video content and understand what’s going on, while also converting the audio from commentators to text in order
to find exciting words and expressions that might indicate a potential highlight. There is also sound classification and environmental sound analysis built by IBM Research that can detect crowd cheering and commentator excitement.