The newest groundbreaking AI tech? Unsupervised image-to-image translation. It allows you to auto-generate a different photo based off of an input photo. Essentially, it’s lying to your eyes.
Google’s AutoML project, designed to make AI build other AIs, has now developed a computer vision system that vastly outperforms state-of-the-art-models. The project could improve how autonomous vehicles and next-generation AI robots “see.”
It’s tempting to think that adoption of AI is limited by the technology itself. Headlines declaring the rise of robot doctors and approaching technological singularity, contrasted with humorous memes of robots falling over, make us alternately fear and doubt AI’s capabilities. In practice, however, decades-old AI technologies could unlock significant value, although many companies still have yet to adopt them. This is because adoption of AI is determined by both trust and risk. Thinking about AI adoption in this way enables us to more accurately anticipate opportunities for AI startups.
Google and others, fighting for a small pool of researchers, are looking for automated ways to deal with a shortage of artificial intelligence experts.
Machines have been displacing humans on job tasks for several centuries, and for seventy years many of these machines have been controlled by computers.
Artificial Intelligence is changing the way we think of technology. It is radically changing the various aspects of our daily life. Companies are now significantly making investments in AI to boost their future businesses.
Some worry artificial intelligence will steal human jobs — but one startup is betting that its AI will actually help you get a job.
San Francisco-based Mya Systems has developed an AI recruiter that can evaluate resumes, schedule and conduct applicant screenings, and even congratulate you on your first day of work.
While much of the conversation around AI and jobs is focused on widespread job losses in sectors like trucking, venture capitalist and Sun Microsystems cofounder Vinod Khosla thinks that there’s a high-paying job on the chopping block: oncology.
We’re beginning to get a glimpse of some of the built-in limits to artificial intelligence.
Humans are natural negotiators. We arrange dozens of tiny little details throughout our day to produce a desired outcome: What time a meeting should start, when you can take time off work, or how many cookies you can take from the cookie jar.
Machines typically don’t share that affinity, but new research from Facebook’s AI research lab might offer a starting point to change that. The new system learned to negotiate from looking at each side of 5,808 human conversations, setting the groundwork for bots that could schedule meetings or get you the best deal online.
Clothing manufacturing has always been a labor intensive industry with the advantage going to the country with the lowest cost labor. Automated sewing factories with SoftWear machines could change all that.
Glancing around school classrooms in 2016, it’s easy to miss just how far technology has transformed learning over the last decade. The desks, whiteboards and rows of chairs are the same, but so much else has changed that can’t be seen.
A third of Britain’s schools are asking students to bring their own tablets and laptops into the classroom now, coding has been on the national curriculum for three years, and more and more education is happening outside school through apps and digital services.
The digital revolution has not escaped the courts. The courtroom of tomorrow may no longer involve litigants and their lawyers pitching up armed with reams of papers to do battle before robed, bewigged judges. In fact, for many it may not involve a court at all. Judges could be replaced by computers and the courtroom with the internet to meet the needs of the 21st-century litigants.
Last month Lord Chancellor and Justice Secretary Liz Truss unveiled the Prisons and Courts Bill. Aside from wide-ranging plans to reform prisons, the Bill contained proposals to enable people and businesses with claims worth up to £25,000 to use an online digital process instead of going to court.