So this is how it feels when the robots come for your job: What GitHub's Copilot 'AI assistant' means for coders
I love writing code to make things: apps, websites, charts, even music. It's a skill I've worked hard at for more than 20 years.
Mimicking the function of Ruffini receptors using a bio-inspired artificial skin
Mobile robots are now being introduced into a wide variety of real-world settings, including public spaces, home environments, health care facilities and offices. Many of these robots are specifically designed to interact and collaborate with humans, helping them to complete hands-on physical tasks.
Rather than focus on the speculative rights of sentient AI, we need to address human rights
A flurry of activity occurred on social media after Blake Lemoine a Google developer, was placed on leave for claiming that LaMDA, a chatbot, had become sentient—in other words, had acquired the ability to experience feelings. In support of his claim, Lemoine posted excerpts from an exchange with LaMDA, which responded to queries by saying, "aware of my existence, I desire to learn more about the world, and I feel happy or sad at times.
Breaking AIs to make them better
Current AIs are very accurate but inflexible at image recognition. Exactly why this is remains a mystery. Researchers have developed a method called 'Raw Zero-Shot' to assess how neural networks handle elements unknown to them. The results have the potential to help researchers identify the common features that make neural networks 'non-robust,' and develop methods to make AIs more reliable.
So this is how it feels when the robots come for your job: what GitHub's Copilot 'AI assistant' means for coders
A new AI tool that writes computer code on demand has programmers considering their future.
'Fake' data helps robots learn the ropes faster
In a step toward robots that can learn on the fly like humans do, a new approach expands training data sets for robots that work with soft objects like ropes and fabrics, or in cluttered environments.
Rather than focus on the speculative rights of sentient AI, we need to address human rights
A Google engineer’s claims that a chatbot can feel things has prompted people to consider what consciousness means. It also begs the questions of the rights of sentient software and machines.
How technology can detect fake news in videos
Social media represent a major channel for the spreading of fake news and disinformation. This situation has been made worse with recent advances in photo and video editing and artificial intelligence tools, which make it easy to tamper with audiovisual files, for example with so-called deepfakes, which combine and superimpose images, audio and video clips to create montages that look like real footage.
Researchers perform non-line-of-sight ghost imaging with human vision
Researchers have shown that the computational imaging technique known as ghost imaging can be combined with human vision to image an object that can't directly be seen by the person. The new work represents a step toward combining human intelligence with artificial intelligence.
Use That Everyday A.I. in Your Pocket
Artificial intelligence powers more apps on your mobile devices than you may realize. Here’s how to take advantage of the technology — or turn it off.
UK eases data mining laws to support flourishing AI industry
The UK is set to ease data mining laws in a move designed to further boost its flourishing AI industry.
AI learns how to play Minecraft by watching videos
Open AI has trained a neural network to play Minecraft by Video PreTraining (VPT) on a massive unlabeled video dataset of human Minecraft play, while using just a small amount of labeled contractor data.
'Fake' data helps robots learn the ropes faster
In a step toward robots that can learn on the fly like humans do, a new approach expands training data sets for robots that work with soft objects like ropes and fabrics, or in cluttered environments.
Robot overcomes uncertainty to retrieve buried objects
For humans, finding a lost wallet buried under a pile of items is pretty straightforward—we simply remove things from the pile until we find the wallet. But for a robot, this task involves complex reasoning about the pile and objects in it, which presents a steep challenge.
Extra 'eye' movements are the key to better self-driving cars
Andrea Benucci and colleagues at the RIKEN Center for Brain Science has developed a way to create artificial neural networks that learn to recognize objects faster and more accurately. The study, recently published in the scientific journal PLOS Computational Biology, focuses on all the unnoticed eye movements that we make, and shows that they serve a vital purpose in allowing us to stably recognize objects.
Modeling the climate-energy consumption link in Tibet
Researchers from the Institute of Tibetan Plateau Research (ITP) of the Chinese Academy of Sciences have investigated how climate influences the amount of electricity used in Tibetan homes based on machine learning.
The dangers of big data extend to farming
Most internet users are by now aware of the vulnerability of their personal data. When the news broke that tech companies misuse and manipulate our personal data, there was a widespread "techlash" against the corporate giants Facebook, Amazon and Google.
Google's powerful AI spotlights a human cognitive glitch: Mistaking fluent speech for fluent thought
When you read a sentence like "This is my story...," your past experience tells you that it's written by a thinking, feeling human. And, in this case, there is indeed a human typing these words: [Hi, there!] But these days, some sentences that appear remarkably humanlike are actually generated by artificial intelligence systems trained on massive amounts of human text.