In a new study, a model trained on functional magnetic resonance imaging scans of three volunteers was able to predict whole sentences they were hearing with surprising accuracy—just by looking at their brain activity.
The advent of an artificial intelligence news anchor marks a milestone in Indian journalism. Not only has it raised eyebrows, it's also sparked discussions about whether India has entered a new era of news broadcasting.
More than 1,000 artificial intelligence experts have joined a call for an immediate pause on the creation of “giant” AIs for at least six months, so the capabilities and dangers of systems such as GPT-4 can be properly studied and mitigated.
There are already machines that perform certain important tasks independently without programmers fully understanding how they learned it.
After being shown videos of physical phenomena on Earth, the AI has not rediscovered the actual variables we are using; Instead, it actually evolved new variables to explain what it saw.
A new study finds that artificial intelligence can devise ways to distribute wealth that are more common than systems designed by people.
It took less than six hours for drug-developing AI to invent 40,000 potentially lethal molecules.
The circuit components can seamlessly switch between acting as resistors, memory capacitors, artificial neurons, and artificial synapses. A silicon brain that can rewire itself just like ours might not be so far away.
Researchers are developing artificial intelligence that could assess climate change tipping points. The deep learning algorithm could act as an early warning system against runaway climate change.
Current artificial intelligence (AI) technology is powerful, but often relies on high energy consumption. U.S. researchers have devised a solution that reduces the AI model training’s carbon footprint.
MIT scientists have revealed that their AI discovered an antibiotic compound, halicin, that can not only kill many forms of resistant bacteria but do so in a novel way.
The future of technological employment comes down to a key challenge of human-machine collaboration.
A remarkable combination of artificial intelligence (AI) and biology has produced the world’s first “living robots”. Xenobots are less than 1 millimeter long and are made of 500-1,000 living cells. Using their own cellular energy, they can live up to 10 days.
There’s a strong global convergence towards five ethical principles, including transparency, justice and fairness, non-maleficence, responsibility, and privacy.
Giving researchers and companies freedom to explore, in order to seek these positive achievements from AI systems, means opening up the risk of developing more advanced ways to create deception and other social problems.
