Sarah O'Connor's We Are Not Machines explores how we are contorting ourselves to fit AI into our working lives - and what to do about it, finds Tom Knowles Employers wanting staff to be more like machines isn't new, says O'Connor If you are a fan of translated films, you may have noticed the subtitles on streaming platforms have changed in recent years. They aren't wrong exactly, but they can come across as a bit, well, flat. "You get the meaning, but the language? It's not as rich," Petr Čermoch, a translator in the Czech Republic, tells Sarah O'Connor in We Are Not Machines, which explores how artificial intelligence is changing the way we work. That lack of richness is usually because the streaming platform has used AI to translate a script, then had a professional translator like Čermoch finesse it.

A study of 140,000 people suggests that a broadening of the diagnostic criteria for autism and ADHD explains the sharp rise in diagnoses, but that doesn't mean too many people are being told they are autistic or have ADHD We may be beginning to understand what is behind the recent explosion in diagnoses of ADHD and autism . A study of 140,000 people in Denmark reveals that those recently diagnosed with ADHD or autism have fewer genetic variations associated with them than people diagnosed a decade earlier. This suggests that a broadening of the diagnostic criteria is behind the rise, but it doesn't support claims that ADHD and autism are being overdiagnosed. Diagnoses for autism and ADHD have risen up to tenfold around the world over the past two decades, particularly among girls and adults. Several possibilities have been put forward to explain this, including better awareness and understanding, a broadening of the diagnostic criteria, and even the commercial interests of pharmaceutical companies and private diagnostic clinics.

Don't flush ticks down the toilet Water does not kill them--and they could come back. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy . Tick season is in full swing--and it could be a doozy.

Driving into the sunset can actually form new neural pathways. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Seeing a landscape or place that takes your breath away is actually good for your brain. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

AI is nearly exclusively designed by men - here's how to fix it With the Trump administration's attacks on so-called woke AI it is becoming even harder to make the technology we use fairer and more diverse. It's day two of the conference at the Royal Society in London, but I'm finding it increasingly hard to concentrate on the speakers because my AI transcription software - which is supposed to make my life easier - keeps insisting on mistyping someone's name. The irony isn't lost on me: this is the session about artificial intelligence, and specifically about how women are being erased from the latest AI technologies. This is much bigger than the now-familiar idea that AI algorithms carry the biases of the datasets they are trained on, including gender bias. Instead, the focus of the conference session, chaired by computer scientist Wendy Hall, is seeking to address a more fundamental issue: the fact that new AI technologies, which will have a transformative effect on all of society, are being designed almost exclusively by men.

The team observed the gentle giants two days in a row. Blue whales can be found in every ocean except the Arctic. Breakthroughs, discoveries, and DIY tips sent six days a week. As if soaring above the brilliant blue ocean isn't spectacular enough, the New England Aquarium's aerial survey team recently experienced two back-two-back sightings of blue whales --a little déjà blue, per the aquarium's clever social media post. The first sighting occurred on February 27, when scientists from the Aquarium's Anderson Cabot Center for Ocean Life spotted a blue whale ().

Why some people get motion sickness--and others don't When your eyes, ears, and brain don't agree, it can mean bad news for your stomach. "Everyone is capable of motion sickness," says Dr. Kristen K. Steenerson, a clinical associate professor at Stanford University School of Medicine. Breakthroughs, discoveries, and DIY tips sent six days a week. A couple of years ago, I found myself traveling along the Drake Passage to Antarctica when our ship encountered a patch of 15-foot-tall swells. Waves were slamming against the exterior of our vessel, causing nauseated passengers to run to their rooms and stay there.

Animal traffickers face up to 20 years in prison and a $250,000 fine. Breakthroughs, discoveries, and DIY tips sent every weekday. It should go without saying, but please don't smuggle spider monkeys. While responding to a human trafficking case earlier this year, United States Border Patrol agents in Laredo, Texas, found two of these tiny primates . The driver failed to yield and fled the scene, leading officers to respond.

In this work, we propose TGLS, a novel framework for unsupervised Text Generation by Learning from Search. We start by applying a strong search algorithm (in particular, simulated annealing) towards a heuristically defined objective that (roughly) estimates the quality of sentences. Then, a conditional generative model learns from the search results, and meanwhile smooth out the noise of search. The alternation between search and learning can be repeated for performance bootstrapping. We demonstrate the effectiveness of TGLS on two real-world natural language generation tasks, unsupervised paraphrasing and text formalization. Our model significantly outperforms unsupervised baseline methods in both tasks. Especially, it achieves comparable performance to strong supervised methods for paraphrase generation.

Greedy best-first search (GBFS) and A* search (A*) are popular algorithms for path-finding on large graphs. Both use so-called heuristic functions, which estimate how close a vertex is to the goal. While heuristic functions have been handcrafted using domain knowledge, recent studies demonstrate that learning heuristic functions from data is effective in many applications. Motivated by this emerging approach, we study the sample complexity of learning heuristic functions for GBFS and A*. We build on a recent framework called \textit{data-driven algorithm design} and evaluate the \textit{pseudo-dimension} of a class of utility functions that measure the performance of parameterized algorithms. Assuming that a vertex set of size $n$ is fixed, we present $\mathrm{O}(n\lg n)$ and $\mathrm{O}(n^2\lg n)$ upper bounds on the pseudo-dimensions for GBFS and A*, respectively, parameterized by heuristic function values. The upper bound for A* can be improved to $\mathrm{O}(n^2\lg d)$ if every vertex has a degree of at most $d$ and to $\mathrm{O}(n \lg n)$ if edge weights are integers bounded by $\mathrm{poly}(n)$. We also give $\Omega(n)$ lower bounds for GBFS and A*, which imply that our bounds for GBFS and A* under the integer-weight condition are tight up to a $\lg n$ factor. Finally, we discuss a case where the performance of A* is measured by the suboptimality and show that we can sometimes obtain a better guarantee by combining a parameter-dependent worst-case bound with a sample complexity bound.