This time final yr our AI writers did one thing reckless. In an business the place nothing stands nonetheless, they’d a go at predicting the long run.
Seems, their predictions have been fairly on the cash. They advised that the following massive factor in chatbots could be multimodal (examine), and that policymakers would draw up robust new rules (one other examine). Elsewhere, they have been half-right after they forecast that Massive Tech would really feel strain from open-source startups.
This yr, they’re doing it once more. Try their predictions for the business in 2024.
—Melissa Heikkilä & Will Douglas Heaven
+ For those who’re on this subject, why not try how these six questions will dictate the way forward for generative AI? Its future—and ours—will likely be formed by what we do subsequent.
Quantum computing is taking up its greatest problem: noise
Previously 20 years, a whole lot of firms have staked a declare within the rush to determine quantum computing. Traders have put in properly over $5 billion thus far. All this effort has only one objective: creating the world’s subsequent massive factor.
However in the end, assessing our progress in constructing helpful quantum computer systems comes down to at least one central issue: whether or not we are able to deal with the noise. The fragile nature of their programs makes them extraordinarily susceptible to the slightest disturbance, which might generate errors and even cease a quantum computation in its tracks.
Within the final couple of years, a collection of breakthroughs have led researchers to declare that the issue of noise may lastly be on the ropes. Learn the complete story.
—Michael Brooks
This story is from the following journal version of MIT Expertise Evaluate, set to go dwell on January 8—and it’s all about innovation. For those who don’t already subscribe, reap the benefits of our seasonal subscription presents to get a duplicate when it lands.
