The results showed that the AI models outperformed both expert and non-expert examiners at identifying ovarian cancer, achieving an accuracy rate of 86.3%, compared to 82.6% and 77.7% for the expert and non-expert examiners respectively.
The research team has developed robots capable of performing complex surgical tasks autonomously, including manipulating needles, tying knots, and suturing wounds...from videos and correct their mistakes without human intervention.
Artificial neural networks are being used to decipher ancient texts, from the classical stalwarts of Greek and Latin to China’s Oracle Bone Script, ancient divination texts written on cattle bones and turtle shells. They are making sense of archives too vast for humans to read, filling in missing and unreadable characters and decoding rare and lost languages of which hardly any traces survive.
We are learning more about the human body and the spectacular mechanics of the complex structures that make it up...Robots can do more complex tasks than ever before, while efforts to build powerful quantum computers are being constantly improved.
The experiment represents a huge step that could benefit various industry and connect people living in remote and typically underserved areas.
Students in fourth through eighth grade will be enrolled in the program, in which academic lessons for two hours a day will be delivered by personalized AI
Genesis is a highly-optimized physics engine that leverages GPU-accelerated parallel computation, with features like optimized collision checking, auto-hibernation, contact island, etc. Genesis delivers an unprecedented simulation speed in various scenes.
The smart machines, it turns out, are dreaming up riots of unrealities that help scientists track cancer, design drugs, invent medical devices, uncover weather phenomena and even win the Nobel Prize.
An experiment showing that quantum and classical communication can be carried out through the same fibre at the same time may open the door to building a quantum internet with existing infrastructure.
After decades of frustration, machine-learning tools are unlocking a treasure trove of acoustic data for ecologists.
