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Here’s the self-driving, electric, body-swappable car of the future.
Category: robotics/AI – Page 2,222
Guys Get Pizza Delivered By Self-Driving Car
Self-driving pizza delivery!? The future is NOW! 😱🍕
Credit: ViralHog
This robotic finger attachment for your smartphone will gently caress your hand
Our smartphones are cold, passive devices that usually can’t move autonomously unless they’re falling onto our faces while we’re looking at them in bed. A research team in France is exploring ways to change that by giving our smartphones the ability to interact with us more (via New Scientist). MobiLimb is a robotic finger attachment that plugs in through a smartphone’s Micro USB port, moves using five servo motors, and is powered by an Arduino microcontroller. It can tap the user’s hand in response to phone notifications, be used as a joystick controller, or, with the addition of a little fuzzy sheath accessory, it can turn into a cat tail.
This Agile Robot Assists with Various Construction Tasks
AIST recently unveiled its HRP-5, the fifth iteration of a humanoid robot design at the International Conference on Intelligent Robots. The long-term vision for the robot is to assist, not replace, workers with certain repetitive tasks. HRP-4 weighed 39kg and stood 151 cm tall with a 0.5kg maximum payload (per hand), so most likely the newest version will at the least boast an increased payload and sensor technology.
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Artifical intelligence and personal assistants put to the test — BBC Click
This is not the end of the world but the end of competition as we know it.
Click investigates the rise of the robot butler, looking at whether voice-controlled personal assistants live up to the hype and at the potential dangers of living in a world where all electronics are controlled by voice.
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A new brain-inspired architecture could improve how computers handle data and advance AI
General interest.
IBM researchers are developing a new computer architecture, better equipped to handle increased data loads from artificial intelligence. Their designs draw on concepts from the human brain and significantly outperform conventional computers in comparative studies. They report on their recent findings in the Journal of Applied Physics.
Today’s computers are built on the von Neumann architecture, developed in the 1940s. Von Neumann computing systems feature a central processer that executes logic and arithmetic, a memory unit, storage, and input and output devices. Unlike the stovepipe components in conventional computers, the authors propose that brain-inspired computers could have coexisting processing and memory units.
Abu Sebastian, an author on the paper, explained that executing certain computational tasks in the computer’s memory would increase the system’s efficiency and save energy.
Quantum machine learning is a big leap away, at least for now
Quantum computing isn’t going to revolutionize AI anytime soon, according to a panel of experts in both fields.
Different worlds: Yoshua Bengio, one of the fathers of deep learning, joined quantum computing experts from IBM and MIT for a panel discussion yesterday. Participants included Peter Shor, the man behind the most famous quantum algorithm. Bengio said he was keen to explore new computer designs, and he peppered his co-panelists with questions about what a quantum computer might be capable of.
Quantum leaps: The panels quantum experts explained that while quantum computers are scaling up, it will be a while—we’re talking years here—before they could do any useful machine learning, partly because a lot of extra qubits will be needed to do the necessary error corrections. To complicate things further, it isn’t very clear what, exactly, quantum computers will be able to do better than their classical counterparts. But both Aram Harrow of MIT and IBM’s Kristian Temme said that early research on quantum machine learning is under way.