The Singularity is now in private beta. But you still have to care about syntax errors.
Category: robotics/AI – Page 1,889
Boston Dynamics’ Spot robot is securing its position in a niche market
Improved autonomy
One of the main features of Spot is Autowalk, a system that enables the robot to record and repeat paths. An operator takes the robot through the path using the remote controller interface. The robot memorizes the path and can repeat when commanded to do so. Autowalk can be used for inspection missions in industrial facilities, mines, factories, and construction sites.
The new update improves Autowalk, reducing the need for human guidance and intervention. Robot operators can now edit Autowalk missions and add actions such as capturing images, reading indicators, or run third-party code. Spot also has been given better planning capabilities and can find the best path to perform target actions. Its pathfinding capacity has also been improved to adapt to changes in its inspection paths such as new obstacles. And it can be scheduled to carry out scheduled inspections without human supervision during off-hours.
New IBM Research Proposes Phase-Change Materials (PCMs) To Break The von Neumann Bottleneck For AI And Deep Learning Applications
We live in a world where significant technological developments in processing technology have dramatically transformed our way of life, with rapid improvements in computing capacity.
The world’s information continues to grow. In 2,018 the total amount of data stored in the world was 33 zettabytes (33×1021 bytes). To put it another way, one zettabyte of data would require 33 billion one-terabyte.
As difficult as it is to wrap one’s head around that amount of data, it is expected to swell to 175 zettabytes by 2025. To this date, extracting and storing this increasingly massive amount of data represents a tremendous challenge in terms of efficiency, accuracy, and sustainable energy cost.
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.
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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.
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