The low-slung drone-ship catamaran is equipped with solar panels, various antennae, and camera systems.
Category: robotics/AI – Page 1,822
Will AGI incorporated machines ever become Conscious? | The SCI-AI Podcast Ep. 10 — Daniel Jue
In this podcast, I have invited Daniel Jue, one of the youngest Entrepreneurs of the field of AGI. Daniel is an Independent Artificial General Intelligence researcher at Cognami in the US. He has worked supporting the US Department of Defense, including Data Fusion and analytic development for DARPA, the Defense Advanced Research Projects Agency, whose mission is to prevent technological surprise by potential adversaries. In addition he worked with scientists and engineers at IronNet CyberSecurity, a startup with DARPA and NSA heritage who have recently gone public. In March of 2,021 Daniel took on full time AGI research, drawing upon the fields of Computer Science, Neuroscience, Philosophy and Psychology. Some of his major influences have been Jacques Pitrat’s CAIA (An Artificial AI Scientist) project, Jean Piaget’s childhood development theories and Spiking Neural Networks. He sees a generalizable substrate at the basis for AGI, where engineers design the “physics” in which intelligent behavior could emerge.
SUBSCRIBE to our YouTube Channel and “ring the bell” for all the latest videos from ‘The SCI-AI Podcast’ at https://bit.ly/3y6ISwL
- Listen to us on Buzzsprout: https://feeds.buzzsprout.com/1816580.rss.
- LIKE us on Facebook: https://www.facebook.com/podcazter.
- FOLLOW us on Twitter: https://twitter.com/MeharVik.
- FOLLOW us on Instagram: https://www.instagram.com/brightvik/
- SUBSCRIBE to our channel on Apple Podcast: https://apple.co/3gllCVL
- SUBSCRIBE to our channel on Spotify Podcast: https://spoti.fi/2WfCTZx.
Connect with Daniel Jue:
LinkedIn: https://www.linkedin.com/in/danieljue/
Connect with Vivek:
Linkedin: https://www.linkedin.com/in/vdahiya/
Twitter: https://twitter.com/MeharVik.
Instagram: https://www.instagram.com/brightvik/
Quora: https://www.quora.com/profile/Vivek-Dahiya-1
Timecodes:
0:24 Introduction of Daniel Jue.
IISc Bengaluru establishes new AI and machine learning centre
Spread across approximately 140,000 square feet, the Kotak-IISc AI-ML centre will offer Bachelor’s, Master’s and short-term courses in areas such as artificial intelligence, machine learning, deep learning, fintech, reinforcement learning, image processing and computer vision, a joint statement said.
Read | Management institutes eye new-age tech with dedicated centres and specialised courses
The Centre, established under KMBL’s CSR project on Education & Livelihood, will also promote research and innovation in AI and ML and develop the talent pool from across the country to provide cutting-edge solutions to meet industry’s emerging and future requirements, it said.
Deep learning helps predict new drug combinations to fight COVID-19
The existential threat of COVID-19 has highlighted an acute need to develop working therapeutics against emerging health threats. One of the luxuries deep learning has afforded us is the ability to modify the landscape as it unfolds — so long as we can keep up with the viral threat, and access the right data.
As with all new medical maladies, oftentimes the data needs time to catch up, and the virus takes no time to slow down, posing a difficult challenge as it can quickly mutate and become resistant to existing drugs. This led scientists from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) to ask: how can we identify the right synergistic drug combinations for the rapidly spreading SARS-CoV-2?
Typically, data scientists use deep learning to pick out drug combinations with large existing datasets for things like cancer and cardiovascular disease, but, understandably, they can’t be used for new illnesses with limited data.
What Are Robot Soldiers Doing on the Gaza Border Wall?
Is this US ready for this Eric Klien?
Israeli defense technology continues to improve.
Here’s What You Need to Remember: An IDF soldier also comments that the Jaguar “…can mount almost any weapon, rocket launchers, less [than] lethal weapons and crowd-dispersal means.” The latter two items suggest that beyond Gaza, Jaguars may be employed in confrontations with protesters or rioters.
This drone-deploying blimp could be Amazon’s next aerial fulfillment center
An army of drones descending over a city from a massive corporate airship…damn, amazon just out-cyberpunked cyberpunk itself.
While the origin of this video has something, in part, to do with April Fool’s day, there’s some truth to this concept too. Amazon has, for long, been experimenting with aerial deliveries, sending unmanned drones to fulfill package deliveries. In fact, the blimp idea isn’t completely far-fetched, either. Click the below link to read the entire article.
For more inspirational content, visit http://www.yankodesign.com/
FOLLOW US IN THESE PLACES FOR UPDATES:
Facebook — https://www.facebook.com/yankodesign/
Instagram — https://www.instagram.com/yankodesign/
LinkedIn — https://www.linkedin.com/company/yanko-design/
Pinterest — https://www.pinterest.com/yankodesign/
Intel AI Team Proposes A Novel Machine Learning (ML) Technique, ‘Multiagent Evolutionary Reinforcement Learning (MERL)’ For Teaching Robots Teamwork
Reinforcement learning is an interesting area of machine learning (ML) that has advanced rapidly in recent years. AlphaGo is one such RL-based computer program that has defeated a professional human Go player, a breakthrough that experts feel was a decade ahead of its time.
Reinforcement learning differs from supervised learning because it does not need the labelled input/output pairings for training or the explicit correction of sub-optimal actions. Instead, it investigates how intelligent agents should behave in a particular situation to maximize the concept of cumulative reward.
This is a huge plus when working with real-world applications that don’t come with a tonne of highly curated observations. Furthermore, when confronted with a new circumstance, RL agents can acquire methods that allow them to behave even in an unclear and changing environment, relying on their best estimates at the proper action.
‘Just Get Me a Box’: Inside the Brutal Realities of Supply Chain Hell
We need robots as workers it would speed up things maybe a thousand fold. Humans are not made for the grueling labor that robots can do easily. Unless we give workers like ironman suits humans do better work as coders or the ones repairing the machines.
Logistics managers are battling the pandemic, a labor shortage, and huge demand to get goods to your front door.