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Category: robotics/AI – Page 2279
A new centre has opened to study the positive and negative implications of AI and ethical quandaries it poses.
“The rise of powerful AI will be either the best, or the worst thing, ever to happen to humanity,” Professor Stephen Hawking said in Cambridge, at the launch of the Centre for the Future of Intelligence (CFI).
The CFI is seeking to investigate the implications of AI for humanity, building an interdisciplinary community of researchers, bringing together philosophers, psychologists, lawyers and computer scientists. But, with strong links to technologists and policymakers, it has clear practical goals.
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Artificial intelligence is a “momentous development,” said George Lee, co-chairman of the global technology, media and telecom group at Goldman Sachs.
“As awesome as the internet has been, it will be best remembered as really the predicate for machine learning,” said Lee, who’s also chief information officer of Goldman’s investment banking division. He appeared on CNBC’s “Squawk Alley” on Wednesday from Goldman’s Builders + Innovators Summit in Santa Barbara, California.
The internet enabled computing scale in a network and serves as a way to “collect data that’s used to train all these algorithms,” Lee said, predicting machine learning will “change our world … and even the course of our species in ways that are hard to predict today.”
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In Brief:
- At the launch of the Leverhulme Centre for the Future of Intelligence (CFI), the famed scientist warned of a potentially grave future given the rise of AI.
- The work done at CFI could have far-reaching implications for the future of AI, helping shape how the technology is used and regulated.
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A London-based startup has combined some of today’s most disruptive technologies in a bid to change the way we’ll build the future. By retrofitting industrial robots with 3D printing guns and artificial intelligence algorithms, Ai Build has constructed machines that can see, create, and even learn from their mistakes.
When CEO and founder Daghan Cam was studying architecture, he noticed a disconnect between small-scale manufacturing and large-scale construction. “On one side we have a fully automated production pipeline,” Cam explained at a recent conference in London. “On the other side we’re completely dependent on human labor.” With the emergence of more efficient printing technologies, he thought there must be a better way.
“We wanted to push the boundaries of how intricate we could design things through computation and how we could create them through 3D printing,” Cam said.
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If you don’t like the thought of bugs crawling all over you, then you might not like one possible direction in which the field of wearable electronics is heading. Researchers from MIT and Stanford University recently showcased their new Rovables robots, which are tiny devices that roam up and down a person’s clothing – and yes, that’s as the clothing is being worn.
The centimeter-sized robots hang on by pinching the fabric between their wheels, with the physically-unconnected wheel on the underside of the material held against the others simply by magnetic attraction.
Each Rovable contains a battery, microcontroller, and a wireless communications module that lets it track the movements and locations of its fellow little robots. It also has an inertial measurement unit (IMU), which includes a gyroscope and accelerometer. By using that IMU and by counting its wheel revolutions, the robot is able to keep track of its own location, allowing for limited autonomous navigation on the wearer’s body.
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While self-driving vehicles will be revolutionary, having self-driving vehicles communicate with one another and with road infrastructure will take that revolution to the Nth degree. In a UK-first, a cross-company collaborative demonstration of these technologies working together has taken place.
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Researchers at Microsoft have published details of new speech recognition technology that they say transcribes conversational speech as well as a human does. “We’ve reached human parity,” says Microsoft’s chief speech scientist Xuedong Huang in a statement. “This is an historic achievement.”
The system’s word error rate is reported to be 5.9 percent, which Microsoft says is “about equal” to professional transcriptionists asked to work on speech taken from the same Switchboard corpus of conversations. It uses neural language models that group similar words together, allowing for efficient generalization. Microsoft plans to use the technology in Cortana, its personal voice assistant for Windows and the Xbox One, as well as speech-to-text transcription software.
Although the results are impressive, it’s far from an endgame for speech recognition. Microsoft still needs to tune the technology to work as well with conversations in a wider range of more challenging real-life situations and with a broader selection of voices. And for use cases such as Cortana, much of the difficulty comes from teaching the artificial intelligence to understand the meaning of words and act on them, not just accurately hear them.
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