Lifeboat Foundation

Google has released a neural-network-powered chatbot called Meena that it claims is better than any other chatbot out there.

Data slurp: Meena was trained on a whopping 341 gigabytes of public social-media chatter—8.5 times as much data as OpenAI’s GPT-2. Google says Meena can talk about pretty much anything, and can even make up (bad) jokes.

Why it matters: Open-ended conversation that covers a wide range of topics is hard, and most chatbots can’t keep up. At some point most say things that make no sense or reveal a lack of basic knowledge about the world. A chatbot that avoids such mistakes will go a long way toward making AIs feel more human, and make characters in video games more lifelike.

Some forms of autonomous vehicle watch the road ahead using built-in cameras. Ensuring that accurate camera orientation is maintained during driving is, therefore, in some systems key to letting these vehicles out on roads. Now, scientists from Korea have developed what they say is an accurate and efficient camera-orientation estimation method to enable such vehicles to navigate safely across distances.

A fast camera-orientation estimation algorithm that pinpoints vanishing points could make self-driving cars safer.

John Wallace

Continue reading “Novel camera calibration algorithm aims at making autonomous vehicles safer” »

Google is teaching robots to navigate without human intervention—a prerequisite to being useful in the real world.

Over the last century, scientists have developed methods to map the structures within the Earth’s crust, in order to identify resources such as oil reserves, geothermal sources, and, more recently, reservoirs where excess carbon dioxide could potentially be sequestered. They do so by tracking seismic waves that are produced naturally by earthquakes or artificially via explosives or underwater air guns. The way these waves bounce and scatter through the Earth can give scientists an idea of the type of structures that lie beneath the surface.

SambaNova, a stealth startup, has received over $450 million to build a complete computing system of hardware and software. Co-founder Rodrigo Liang tells ZDNet the stakes are bigger than the craze for AI, it’s about a multi-decade shift in computing.

A robot might be great at its job. But that’s not enough to engender trust.

[Source Image: z_wei/iStock, AlfazetChronicles/iStock].

the photo series by vintner and fletcher illustrates three gradual stages of transhumanism from ‘testing ground’, ‘patient zero’ to ‘humanity 2.0’. at the lowest tier, ‘testing ground’ looks into individuals who have created wearable technology to expand their human abilities, improving everything from concentration to mental health.‘patient zero’ studies those who have taken permanent action to become half human and half robot. in the final chapter, ‘humanity 2.0’, the transhumanist subjects focus on life extension and immortality.

Adversarial attacks against the technique that powers game-playing AIs and could control self-driving cars shows it may be less robust than we thought.

Authorities in China step up surveillance and roll out new artificial intelligence tools to fight deadly epidemic.