Mark Hamilton, an MIT Ph.D. student in electrical engineering and computer science and affiliate of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), wants to use machines to understand how animals communicate. To do that, he set out first to create a system that can learn human language “from scratch.”
1. Privacy is important, but not always guaranteed. Grantcharov realized very quickly that the only way to get surgeons to use the black box was to make them feel protected from possible repercussions. He has designed the system to record actions but hide the identities of both patients and staff, even deleting all recordings within 30 days. His idea is that no individual should be punished for making a mistake.
The black boxes render each person in the recording anonymous; an algorithm distorts people’s voices and blurs out their faces, transforming them into shadowy, noir-like figures. So even if you know what happened, you can’t use it against an individual.
But this process is not perfect. Before 30-day-old recordings are automatically deleted, hospital administrators can still see the operating room number, the time of the operation, and the patient’s medical record number, so even if personnel are technically de-identified, they aren’t truly anonymous. The result is a sense that “Big Brother is watching,” says Christopher Mantyh, vice chair of clinical operations at Duke University Hospital, which has black boxes in seven operating rooms.
The Tesla chief executive had claimed that the A.I. start-up put profits and commercial interests ahead of benefiting humanity.
A Norwegian startup is building massive AI robots to help airlines reduce their carbon emissions, save water, and inspect their planes in a fraction of the time it usually takes.
The challenge: The aviation industry is responsible for about 2.5% of global carbon emissions, and while sustainable jet fuels or electric propulsion systems could one day slash that figure, airlines can reduce their emissions right now — simply by cleaning their planes more often.
Washing an airplane’s exterior reduces air resistance, which means it can decrease the amount of jet fuel a plane needs to burn by up to 2% — while that’s not a huge difference, it can add up when you consider there are about 28,000 commercial jets in the global fleet.
If users wish to “freeze” the soft robot’s shape, they can apply moderate heat (64°C, or 147°F), and then let the robot cool briefly. This prevents the soft robot from reverting to its original shape, even after the liquid in the microfluidic channels is pumped out. If users want to return the soft robot to its original shape, they simply apply the heat again after pumping out the liquid, and the robot relaxes to its original configuration.
“A key factor here is fine-tuning the thickness of the shape memory layer relative to the layer that contains the microfluidic channels,” says Yinding Chi, co-lead author of the paper and a former Ph.D. student at NC State. “You need the shape memory layer to be thin enough to bend when the actuator’s pressure is applied, but thick enough to get the soft robot to retain its shape even after the pressure is removed.”
To demonstrate the technique, the researchers created a soft robot “gripper,” capable of picking up small objects. The researchers applied hydraulic pressure, causing the gripper to pinch closed on an object. By applying heat, the researchers were able to fix the gripper in its “closed” position, even after releasing pressure from the hydraulic actuator.
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There’s a lot of other ways that AI could really take things in a bad direction.
One of the OpenAI directors who worked to oust CEO Sam Altman is issuing some stark warnings about the future of unchecked artificial intelligence.
In an interview during Axios’ AI+ summit, former OpenAI board member Helen Toner suggested that the risks AI poses to humanity aren’t just worst-case scenarios from science fiction.
“I just think sometimes people hear the phrase ‘existential risk’ and they just think Skynet, and robots shooting humans,” Toner said, referencing the evil AI technology from the “Terminator” films that’s often used as a metaphor for worst-case-scenario AI predictions.
Quantum computers have the potential to solve complex problems in human health, drug discovery, and artificial intelligence millions of times faster than some of the world’s fastest supercomputers. A network of quantum computers could advance these discoveries even faster. But before that can happen, the computer industry will need a reliable way to string together billions of qubits—or quantum bits—with atomic precision.
In a fireside chat with Snowflake’s CEO, Huang described how the two companies will help enterprises process their data with accelerated computing to generate business insights.
The agility with which humans and animals move is an evolutionary marvel that no robot has yet been able to closely emulate. To help probe the mystery of how brains control movement, Harvard neuroscientists have created a virtual rat with an artificial brain that can move around just like a real rodent.
