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An energy-based perspective on learning observation models

AIHub

Figure 1 We show that learning observation models can be viewed as shaping energy functions that graph optimizers, even non-differentiable ones, optimize. Inference solves for most likely states given model and input measurements Learning uses training data to update observation model parameters . Robots perceive the rich world around them through the lens of their sensors. Each sensor observation is a tiny window into the world that provides only a partial, simplified view of reality. To complete their tasks, robots combine multiple readings from sensors into an internal task-specific representation of the world that we call state.


German Bionic's connected exoskeleton helps workers lift smarter

Engadget

We're still quite a ways away from wielding proper Power Loaders but advances in exosuit technology are rapidly changing how people perform physical tasks in their daily lives -- some designed to help rehabilitate spinal injury patients, others created to improve a Marine's warfighting capabilities, and many built simply to make physically repetitive vocations less stressful for the people performing them. But German Bionic claims only one of them is intelligent enough to learn from its users' mistaken movements: its 5th-generation Cray X. The Cray X fits on workers like a 7kg backpack with hip-mounted actuators that move carbon fiber linkages strapped to the upper legs, allowing a person to easily lift and walk with up to 30kg (66 lbs) with both their legs and backs fully supported. Though it doesn't actively assist the person's shoulders and arms with the task, the Cray X does offer a Smart Safety Companion system to help mitigate common lifting injuries. "It's a real time software application that runs in the background and can warn the worker when the ergonomic risk is getting too high," Norma Steller, German Bionic's Head of IoT, told Engadget.


This AI Trainer App Wants to Make You a Faster Cyclist

WIRED

TrainerRoad is a bit of an outlier in the universe of cycling training apps. It lacks the candy-hued gamer bling of Zwift, the off-beat humor and array of riding options that come with Systm, and the personal touch of a human coach (which comes with a hefty monthly cost) on Training Peaks. But the platform is highly effective at delivering on its singular mission: to make you a faster cyclist. The platform achieves this through its machine-learning tool called Adaptive Training, a system that creates goal-based training plans that are updated daily using machine intelligence software that responds to the rider's unique strengths, weaknesses, and scheduling constraints. The program analyzes every workout by measuring how easily the rider completes each training zone.


iiot bigdata_2022-01-21_03-36-55.xlsx

#artificialintelligence

The graph represents a network of 1,107 Twitter users whose tweets in the requested range contained "iiot bigdata", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 21 January 2022 at 11:47 UTC. The requested start date was Friday, 21 January 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 2-day, 8-hour, 23-minute period from Tuesday, 18 January 2022 at 16:30 UTC to Friday, 21 January 2022 at 00:53 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.


iiot machinelearning_2022-01-21_03-56-38.xlsx

#artificialintelligence

The graph represents a network of 1,219 Twitter users whose tweets in the requested range contained "iiot machinelearning", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 21 January 2022 at 12:06 UTC. The requested start date was Friday, 21 January 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 2-day, 8-hour, 51-minute period from Tuesday, 18 January 2022 at 15:53 UTC to Friday, 21 January 2022 at 00:45 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.


Global AI Bootcamp 2022 Tickets by TechMeet360, Saturday, January 22, 2022, Online Event

#artificialintelligence

The Global AI Bootcamp is a free one-day event organized across the world by local communities that are passionate about artificial intelligence on Microsoft Azure.


iiot ai_2022-01-21_03-17-12.xlsx

#artificialintelligence

The graph represents a network of 1,201 Twitter users whose tweets in the requested range contained "iiot ai", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 21 January 2022 at 11:27 UTC. The requested start date was Friday, 21 January 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 2-day, 2-hour, 34-minute period from Tuesday, 18 January 2022 at 22:19 UTC to Friday, 21 January 2022 at 00:53 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.


InsurTech_2022-01-21_04-55-47.xlsx

#artificialintelligence

The graph represents a network of 2,082 Twitter users whose tweets in the requested range contained "InsurTech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 21 January 2022 at 13:09 UTC. The requested start date was Friday, 21 January 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 2-day, 16-hour, 52-minute period from Tuesday, 18 January 2022 at 08:08 UTC to Friday, 21 January 2022 at 01:00 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.


Towards a more applicative Pose Estimation.

#artificialintelligence

Almost every pose estimation algorithm suffers from the problem of jitter during inference. The high-frequency oscillations of keypoints around a point characterize a noisy signal is known as jitter. The jitter cause can be attributed to the fact that we perform these inferences at a frame level for the entire video input. And these consecutive frames have varying occlusion (and a range of complex poses). Another reason can be the inconsistency in the annotations in training data that results in uncertainty in pose estimation.


India among top 10 global AI adopters, poised to grow sharply: Study

#artificialintelligence

The study notes that alongside having increasing adoption of new generation technologies, India is "well positioned from the funding standpoint" – a factor that gives it leverage to quickly achieve faster innovations in AI technologies, and overtake other nations that are leading AI achievements right now. The nations leading AI achievements ahead of India are the US, China, the UK, France, Japan and Germany. Canada, South Korea and Italy are behind India in the top 10 AI adopters list, as per the study. The study corroborates the fact that AI adoption across various sectors in India has been growing rapidly. A December 2021 report by McKinsey Analytics on the state of AI in 2021 found that India was the leading adopter of AI among emerging economies, from a commercial, business standpoint.