How many Syrians have returned? A Syrian man died in police custody after his family alleged he was severely beaten despite his wife warning officers about his haemophilia. His death has raised fresh concerns over abuse in detention, while Syria's Interior Ministry says seven officers have been detained. Brazil's president says Amazon oil is'passport to the future' Chinese company unveils new'Superman' humanoid robot Can Trump limit birthright citizenship?

Japan's strongest media export makes a solid case for your attention span. Despite its ferocious popularity, people still tend to swear off anime entirely. These are usually the people whose reference of the medium pertains to a certain stereotype or to the few seconds of anime they once saw on a computer somewhere in the early 2000s. But Japan has been producing some of the most emotionally resonant and visually audacious storytelling in contemporary media for half a century, and a great deal of it looks nothing at all like the stereotype it holds. Start with self-contained films you can knock out in a single evening before graduating to series worth committing wholly to.

The big screen is having a moment. But television is keeping pace with a slate of can't-miss new releases and beloved old favorites that are worth revisiting. While plenty of outlets will tell you what everyone is watching (see:), that's not our goal. As always, the TV shows we're watching this month reflect the kinds of stories WIRED covers every day--shows that explore technology, science, politics, culture, and the sometimes unsettling ways they intersect. From prestige dramas to absurd comedies and one truly groundbreaking sci-fi series, these are the TV shows we think are worth making time for this month.

Look Up Say More Versus Creator Hub Switch Off Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Trending Now Safety Net In My Bag VidCon with Mashable Back to School Furtastic All Series Joseph Green is the Global Shopping Editor for Mashable. He covers VPNs, headphones, fitness gear, dating sites, streaming, and shopping events like Black Friday and Prime Day. All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Mashable may earn an affiliate commission. The huge news from the world of cycling is that Tadej Pogačar is set to compete in this year's Vuelta a España.

The state-of-the-art deep neural networks (DNNs) are vulnerable against adversarial examples with additive random-like noise perturbations. While such examples are hardly found in the physical world, the image blurring effect caused by object motion, on the other hand, commonly occurs in practice, making the study of which greatly important especially for the widely adopted real-time image processing tasks (e.g., object detection, tracking). In this paper, we initiate the first step to comprehensively investigate the potential hazards of blur effect for DNN, caused by object motion. We propose a novel adversarial attack method that can generate visually natural motion-blurred adversarial examples, named motion-based adversarial blur attack (ABBA). To this end, we first formulate the kernel-prediction-based attack where an input image is convolved with kernels in a pixel-wise way, and the misclassification capability is achieved by tuning the kernel weights.

Graph embedding methods represent nodes in a continuous vector space, preserving different types of relational information from the graph. There are many hyper-parameters to these methods (e.g. the length of a random walk) which have to be manually tuned for every graph. In this paper, we replace previously fixed hyper-parameters with trainable ones that we automatically learn via backpropagation. In particular, we propose a novel attention model on the power series of the transition matrix, which guides the random walk to optimize an upstream objective. Unlike previous approaches to attention models, the method that we propose utilizes attention parameters exclusively on the data itself (e.g. on the random walk), and are not used by the model for inference. We experiment on link prediction tasks, as we aim to produce embeddings that best-preserve the graph structure, generalizing to unseen information. We improve state-of-the-art results on a comprehensive suite of real-world graph datasets including social, collaboration, and biological networks, where we observe that our graph attention model can reduce the error by up to 20\%-40\%. We show that our automatically-learned attention parameters can vary significantly per graph, and correspond to the optimal choice of hyper-parameter if we manually tune existing methods.

What our latest list of Climate Tech Companies to Watch says about this moment. On Monday, we published our 2025 edition of Climate Tech Companies to Watch . This marks the third time we've put the list together, and it's become one of my favorite projects to work on every year. In the journalism world, it's easy to get caught up in the latest news, whether it's a fundraising round, research paper, or startup failure. Curating this list gives our team a chance to take a step back and consider the broader picture. What industries are making progress or lagging behind?

A few EV makers in India went belly up after the government abruptly scaled back incentives and cracked down on the misuse of subsidies. Ather survived the storm and sales are increasing. More than 70% of the 200 million registered vehicles in India are two-wheelers. Ather Energy builds e-scooters for the rising middle class that could help commuters ditch highly-polluting, gas-guzzling models. While sales of Tesla or BYD cars drove electric vehicle adoption elsewhere in the world, two-wheelers have led the green energy transition in India. As one of the earliest "pure play" e-scooter makers, Ather Energy has helped drive micromobility EV penetration throughout India and boosted the shift away from carbon-emitting vehicles.

The startup is using waste materials and alternative fuels to make cement, slashing greenhouse gas emissions in a polluting industry. Cement is one of the most used materials on the planet, and the industry emits billions of tons of greenhouse gasses annually. Cemvision wants to use waste materials and alternative fuels to help reduce climate pollution from cement production. Today, making cement requires crushing limestone and heating it to super high temperatures, usually by burning fossil fuels. The chemical reactions also release carbon dioxide pollution. Swedish startup Cemvision made a few key production changes to reduce both emissions and the need to mine new materials.

And what distinguishes the firms that made the 2025 edition of our annual list of Climate Tech Companies to Watch. 's reporters and editors faced a dilemma as we began to mull nominees for this year's list of Climate Tech Companies to Watch. How do you pick companies poised to succeed in a moment of such deep uncertainty, at a time when the new Trump administration is downplaying the dangers of climate change, unraveling supportive policies for clean technologies, and enacting tariffs that will boost costs and disrupt supply chains for numerous industries? We as a publication are focused more on identifying companies developing technologies that can address the escalating threats of climate change, than on businesses positioned purely for market success. But we still don't want to lead our readers astray by highlighting a startup that winds up filing for bankruptcy six months later, even if its demise is due to a policy whiplash outside of its control. So we had to shift our thinking some.