Author: AI Generated Robotic Content

Ninja turns the air fryer on its head with the semi-portable Crispi.

Quantum computers could revolutionize everything from drug discovery to business analytics—but their incredible power also makes them surprisingly vulnerable. New research from Penn State warns that today’s quantum machines are not just futuristic tools, but potential gold mines for hackers. The study reveals that weaknesses can exist not only in software, but deep within the …

Read more “Unbreakable? Researchers warn quantum computers have serious security flaws”

Large Language Models, like ChatGPT, are learning to play Dungeons & Dragons. The reason? Simulating and playing the popular tabletop role-playing game provides a good testing ground for AI agents that need to function independently for long stretches of time.

Can you still buy a DJI drone in the US? (Yes.) Will you be able to buy future drones? (Maybe.) Here are the current DJI dos and don’ts.

While artificial intelligence (AI) models have proved useful in some areas of science, like predicting 3D protein structures, a new study shows that it should not yet be trusted in many lab experiments. The study, published in Nature Machine Intelligence, revealed that all of the large-language models (LLMs) and vision-language models (VLMs) tested fell short …

Read more “Benchmarking framework reveals major safety risks of using AI in lab experiments”

We tested the best electric bikes in every category, from commuters and mountain bikes to foldables and cruisers.

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method that aligns memristor hardware’s noisy updates with neural network training, slashing energy use by nearly six orders of magnitude versus GPUs while boosting accuracy on vision tasks. The study validates EaPU on 180 nm memristor arrays and large-scale simulations.