This week — NVIDIA’s new data centre GPU; the bitter lesson and the future of computation; an AI that can cry; and more!
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More than a human
The tests on patients recovering from strokes showed that a new soft robotic exoskeleton enabled them to walk faster and farther. More tests are required before this tech becomes widely available but the results are promising.
There are many ideas how to approach the problem of sentient AI outsmarting humans, from regulating or banning the research to putting it into our brains. This article proposes another path — the human hive mind — in which we would “swarm” on a problem and collectively solve a problem. It works for birds, bees and fishes, so why it shouldn’t work for humans?
In this video, Lex Fridman analyses Rich Sutton’s blogpost The Bitter Lesson. Sutton argues that the recent advancements in AI are not because we found better algorithms but because we got to the computational level where we can run general brute-force algorithms in an effective way. Fridman then explores where we can gain more computational powers, from smartphones to GPUs to quantum computing and brain-computer interfaces, as well as how we can design better neural networks to keep the exponential growth of AI.
NVIDIA introduced yesterday A100 — NVIDIA’s new data centre GPU based on new Ampere architecture. The A100 is offered in the DGX A100, an integrated AI system, which NVIDIA’s CEO Jensen Huang says will deliver extraordinary performance for AI systems — up to 20 times faster than their previous state-of-the-art data centre GPU.
Is AI coming for voice actors now? Faith is a short story about a mother and daughter reunited after being separated. What’s interesting is that both voices are entirely computer generated using Sonantic’s AI text-to-speech technology and it can manipulate the voices to add emotions.
From now on, researchers submitting papers to NeurIPS (one of the biggest AI conferences) will require a statement describing the impact of the research that needs to describe the “potential broader impact of their work, including its ethical aspects and future societal consequences.”
Spot has found a new job. It walks around Singapore’s Bishan-Ang Mo Kio Park (not autonomously, it’s remotely controlled) and shouts at people to keep their distance.
This video compares the sizes of robots from video games, from tiny robots to humanoids to giants measured in kilometres.
SecondHands is a collaborative robot (cobot in short) that combines the newest technologies in AI and robotics to anticipate what a human is going to do and help them. There is still more work to be done to bring helpful robots from sci-fi into reality but it is a step towards realising the vision of collaborative robots.
MIT economist Daron Acemoglu’s new research puts a number on the job costs of automation. His research found that each additional robot added in manufacturing replaced about 3.3 workers on average in the US and lowered wages by roughly 0.4%. The study also found that the impact of robots varies widely by industry and region, and may play a notable role in exacerbating income inequality.
Although this introduction to robotics talk by Chris Atkeson (who was featured here twice with breakdowns of robots in movies and TV) is aimed for young people, it is still interesting to see how much robotics has progressed over the years and have a sneak peek into Atkeson’s lab and be inspired by his passion for robotics.
If you have some spare time tomorrow, London Futurists is hosting Hacking Darwin: Genetic Engineering and the Future of Humanity event with Jamie Metzl and Nessa Carey from 4 pm UK time. You can reserve your seat here.
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Originally published at https://hplusweekly.com on May 15, 2020.