Artificial intelligence (AI) helps doctors make better diagnoses, scientists create new materials, farmers grow crops more effectively and all of us driving cars - and millions of other applications. This topic also covers subsets of AI such as machine learning (ML), deep learning and neural networks.
Dartmouth researchers report a 51 percent reduction in depression symptoms in patients who used the AI chatbot Therabot. The study shows that patients developed trust in the chatbot comparable to relationships with human therapists.
"If your fastest growing employee category in Europe is lawyers, then I have some serious concerns. I still don’t know a lawyer who has built a product," says Ericsson CEO Börje Ekholm about AI regulations.
Researchers got help from Google's AI tool "co-scientist" to solve a complex problem about antibiotic resistance in just two days. The tool also provided additional hypotheses that researchers are now investigating, demonstrating its potential in scientific research.
Evo 2 has been trained on nearly 9 trillion nucleotides from about 15,000 eukaryotes (plants and animals) as well as prokaryotes (bacteria and archaea). The tool can generate new genetic sequences that may be useful in biomedicine and biotechnological applications.
Figure robots equipped with Helix can pick up almost any small household object by following natural language commands. Helix can successfully handle thousands of new items in cluttered environments without any prior demonstrations or custom programming.
The technology can help people with severe paralysis communicate in a more natural way. The system works with different types of brain interfaces and can generate sound within 1 second after the person attempts to speak.
New AI technology has identified 42 percent more peptides than previous methods in complex protein samples. Researchers are now using AI protein sequencing to identify unknown proteins in both medical samples and archaeological findings.
The AI-supported technology analyzes sonar images with 90 percent accuracy to mark locations where ghost nets are likely found. WWF Germany has manually sifted through images captured by a side-scan sonar and recovered a total of 26 tons of nets from the Baltic Sea.
AI-generated images have taken a huge step forward, and previous problems are now almost completely resolved.