Last week, Amazon announced that a slew of new functions were coming to Alexa that would make it smarter and more natural to interact with. Starting today, US users can use one of those features, called “Remember This.”
With Remember This, you can ask Alexa to store important information that might need to be recalled
in the future, using either “remember” or “make a note.” Some of the examples Amazon gives include: “Alexa, make a note that Amy is going to China in October,” “Alexa, remember that I kept the extra blankets in the attic,” and “Alexa, remember Matthew’s teacher’s name is Ms. Sally.”
Jamie Condliffe writes about how data gathered by autonomous cars and shared with insurance companies could be used to keep the vehicles from taking undue risks.
He argues that the question of liability is one of the thornier issues surrounding autonomous vehicles, especially if they’re ever to be sold to the public. But it could be solved with help from a trial led by Oxbotica, the autonomous-vehicle company spun out from the University of Oxford, to investigate how driverless vehicles can gather and share data. The idea is to explore not just how cars could pass data between each other in order to drive more effectively, but also how that data could be used by third parties like municipal authorities and, crucially, insurers.
A year ago, the Afghan entrepreneur represented a four-strong girl’s Robotics team from Afghanistan to present a robot prototype for a competition held in Washington DC. Roya Mahboob, who lives in New York and was the first woman CEO of a tech company in Afghanistan, found herself in a difficult situation when the girls were denied a visa to the US. President Donald Trump had just signed his “Muslim Ban” executive order, which barred people from seven Muslim-majority countries, including Afghanistan, from entering the US.
“We started this with inspiration from the girls,” Mahboob said. “They brought a huge sense of pride, hope and unity to the Afghan community.” This weekend, the Afghan Dreamers won the Rookie Inspiration Award at the FIRST Robotics World Championship in Detroit.
Microsoft’s venture arm on Tuesday announced new startup investments as part of its inaugural Innovate.AI competition. Three regional winners from North America, Europe, and Israel — and another “AI for Good” champion — won a combined $3.5M in venture funding from M12 (previously known as Microsoft Ventures), Seattle-based Madrona Venture Group, London-based Notion Capital, and Vertex Ventures Israel. They also took home $2 million in Azure credits. Check out the winners here.
Europe: London-based Hazy uses AI to automate data anonymisation to help businesses share data more securely
Squirro, the AI driven context intelligence and insights solution provider, has announced the launch of a new application that brings the power of artificial intelligence (AI), machine learning and predictive analytics to institutional asset management.
Part of the Squirro for Corporate Financial Services suite of applications, the new institutional asset management app will unlock previously missing customer understanding and market opportunities, by allowing institutional asset managers to extract insight from its structured and unstructured data.
Pejman Makhfi (Credit Sesame) offers some sage advice, saying that with increased use of predictive modeling across a wide variety of teams, it’s critical for leaders and managers to be aware of common issues that can distort the results of their teams’ work. Here are nine common pitfalls to avoid, and best practices to follow, for a reliable
machine learning process, including:
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