bike


sony-future-lab-next-hit

Engadget

That's because this was the fourth and final meetup for participants of "Program N," a project where volunteers tested a hands-free open-ear audio device (called, appropriately enough, Concept N) for Sony for almost a year. Aside from paying their own money for the hardware, Program N participants were invited to attend several meetups throughout the year, where they interacted with Sony engineers directly. Future Lab also attended the Silicon Valley Bike Festival and Bike To Work Day SF in order to talk to cyclists and bike commuters about how N could improve their experience. "The first version of N didn't have a calling function," said Okamoto, adding that most people in Tokyo don't use headsets to make calls, so it was an afterthought.


AI could help reduce bike accidents

#artificialintelligence

When I found out a company called Tome Software was going to start a trial that uses AI to reduce bike accidents, I took note. The company will start by testing real cyclists using Trek bikes at the University of Michigan's TechLab at Mcity. It plans to focus on what Jake Sigal, the CEO for Tome Software, told me is the most common type of accident -- a car hitting a bike from the side or behind. For me, it's an interesting project because it means reducing bike accidents by warning both the cars and those on bikes in the most dangerous intersections.


Global Bigdata Conference

@machinelearnbot

I started biking on a regular basis last summer. Most of the work in machine learning is focused on things like smart home integrations, automated cars, Facebook bots, and apps that make it easier to travel or check the weather forecast. It plans to focus on what Jake Sigal, the CEO for Tome Software, told me is the most common type of accident -- a car hitting a bike from the side or behind. It will correlate several data sets -- in the most common areas where a bike could be in danger, the AI will examine factors like time of day (bright sun at dawn), road characteristics (such as the speed limit and berm width), and existing crash data from cars and cyclists in that area.


Usage patterns of Dublin Bikes stations – Towards Data Science – Medium

@machinelearnbot

I collected data every 2 minutes from a public API from January 2017 to August 2017 to build up a decently sized historical data set from which we can work out typical weekday usage profiles for each of the 108 stations. It's straightforward to see that stations most closely fitting the green line would typically be used for commuting into the city to the blue stations in the morning, so naturally we'd expect that green stations would be found in residential areas and blue stations in the city centre. While this is what you'd expect to see I was surprised by just how clear the clusters really were -- the blue stations are focussed around the Dublin 2 area where a lot of business offices are based, bordered by the in-between reds, and green stations outside the city centre in more residential areas. I collected weather data for Dublin simultaneously when querying the bikes API to build the dataset used for this post, so it'd be interesting to look at its effect on the usage patterns and perhaps build some predictive model for each station.


An Italian scooter maker invents a robot that follows you around carrying your stuff

#artificialintelligence

The company is about to begin testing Gita in a number of industrial settings, including factories and theme parks. Piaggio created Piaggio Fast Forward 18 months ago. The sensors, control systems, and electric propulsion used in the new robot could all prove crucial for future Piaggio products, says Michele Colaninno, chairman of the board of Piaggio Fast Forward. Still, as with many of the ideas being tested by transportation companies, including self-driving taxis, semi-automated trucks, and delivery drones, the underlying technology, as well as the potential applications, remain a bit unproven.


An Italian scooter maker invents a robot that follows you around carrying your stuff

#artificialintelligence

The company is about to begin testing Gita in a number of industrial settings, including factories and theme parks. Piaggio created Piaggio Fast Forward 18 months ago. The sensors, control systems, and electric propulsion used in the new robot could all prove crucial for future Piaggio products, says Michele Colaninno, chairman of the board of Piaggio Fast Forward. Still, as with many of the ideas being tested by transportation companies, including self-driving taxis, semi-automated trucks, and delivery drones, the underlying technology, as well as the potential applications, remain a bit unproven.


Bikes May Have To Talk To Self-Driving Cars For Safety's Sake

NPR

Anthony Rowe, an associate professor at Carnegie Mellon University in Pittsburgh, wants bikes to feed information to nearby cars to avoid collisions. Anthony Rowe, an associate professor at Carnegie Mellon University in Pittsburgh, wants bikes to feed information to nearby cars to avoid collisions. In Pittsburgh, where Uber is testing self-driving cars, each autonomous vehicle has two employees in the front seat; one is ready to grab the wheel and apply a foot to the brake pedal, the other in the passenger seat, has a computer screen showing what the car's rooftop laser-bouncing radar is seeing. In Pittsburgh, where Uber is testing self-driving cars, each autonomous vehicle has two employees in the front seat; one is ready to grab the wheel and apply a foot to the brake pedal, the other in the passenger seat, has a computer screen showing what the car's rooftop laser-bouncing radar is seeing.


Pushing the limits of athletic performance

MIT News

The program connecting students and faculty with alumni and industry partners who work together to improve athletic performance by using engineering to enhance endurance, speed, accuracy, and agility in sports. Fay, who played squash and field hockey as an undergraduate at MIT, is working to identify the optimal weight for squash rackets by modeling the swing of a racket based on a person's height and weight. Cricket: Using a robotic arm to test the umpire's decisions In cricket, if a ball makes slight contact with a bat and is caught in the field before it touches the ground, the batsman is out. When the International Cricket Council (ICC) sought to test the accuracy of DRS, they turned to Sanjay Sarma, the Fred Fort Flowers and Daniel Fort Flowers Professor in Mechanical Engineering.


Third Thumb printed prosthetic provides fine motor control

Daily Mail

The human thumb has a dynamic range of movement, including its characteristic opposable directional ability, which the Third Thumb seeks to recreate. The foot controls were inspired by products that use similar coordination between the hands and feet, like driving a car, using a sewing machine, or playing a piano. The human thumb has a dynamic range of movement, including its characteristic opposable directional ability, which the Third Thumb seeks to recreate. The foot controls were inspired by products that use similar coordination between the hands and feet, like driving a car, using a sewing machine, or playing a piano.


The reality of automating customer service chat with AI today

#artificialintelligence

Virtual Customer Agents (customer service focused bots or VCAs for short) are intelligent systems that are able to understand what users ask via chat and provide them with adequate answers to solve users' issues. With all the advances in machine and deep learning, most algorithms largely remain pattern based approaches to extract intent from a large corpus of previously seen chat history. Extraction of meaning -- or more specifically, semantic relations between words in free text -- is a complex task. Indrek Vainu is the CEO and co-founder of AlphaBlues, a company automating enterprise customer service chat with artificial intelligence.