The 81st United Nations General Assembly (UNGA) concluded on Monday with artificial intelligence (AI), the Israel-Palestine conflict and the US-Israel war on Iran dominating world leaders' addresses during the general debate. UN Secretary-General Antonio Guterres, in his final address before his term ends, warned that the future of the world would be shaped by four tests: AI, climate change, wars and inequality. That is why the UN Charter - and the work of the United Nations - matter more than ever," Guterres said. Speeches ranged from calls to reform the UN to appeals for upholding international law, as the global body has been undermined by the unilateral foreign policy pushed by United States President Donald Trump. Here are the biggest takeaways from this year's summit: The situation in Palestine was a key issue among members amid Israel's ongoing genocidal war on Gaza despite the so-called "ceasefire" and escalating settler pogroms in the occupied West Bank.

AI at School Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable Selects Look Up Say More Safety Net Versus Creator Playbook In My Bag Trending Now Back to School Good Connection: Uplifting stories for a digital age All Series Beyond Flock itself, testimony raised harder questions about police accountability, data security and a decade-old industry. Chance Townsend is the General Assignments Editor at Mashable, covering tech, video games, dating apps, digital culture, and whatever else comes his way. He has a Master's in Journalism from the University of North Texas and is a proud orange cat father. His writing has also appeared in PC Mag and . Flock Safety, the largest U.S. seller of automated license plate reader (ALPR) cameras, continues to draw national scrutiny.

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If the background seems oddly stretched, warped, or unusually indistinct, it could be a sign of AI manipulation. Share or comment on this article: AI vs reality: What'delicious' takeaways being sold on Uber Eats, Deliveroo, and Just Eat REALLY look like - as apps are overcome with fake food photos

The international AI safety report warns systems are improving rapidly - but remain prone to'hallucinations' and hard to control. The international AI safety report warns systems are improving rapidly - but remain prone to'hallucinations' and hard to control. The International AI Safety report is an annual survey of technological progress and the risks it is creating across multiple areas, from deepfakes to the jobs market. Commissioned at the 2023 global AI safety summit, it is chaired by the Canadian computer scientist Yoshua Bengio, who describes the "daunting challenges" posed by rapid developments in the field. The report is also guided by senior advisers, including Nobel laureates Geoffrey Hinton and Daron Acemoglu.

Planning allows an agent to safely refine its actions before executing them in the real world. In autonomous driving, this is crucial to avoid collisions and navigate in complex, dense traffic scenarios. One way to plan is to search for the best action sequence. However, this is challenging when all necessary components - policy, next-state predictor, and critic - have to be learned. Here we propose Differentiable Simulation for Search (DSS), a framework that leverages the differentiable simulator Waymax as both a next state predictor and a critic. It relies on the simulator's hardcoded dynamics, making state predictions highly accurate, while utilizing the simulator's differentiability to effectively search across action sequences. Our DSS agent optimizes its actions using gradient descent over imagined future trajectories. We show experimentally that DSS - the combination of planning gradients and stochastic search - significantly improves tracking and path planning accuracy compared to sequence prediction, imitation learning, model-free RL, and other planning methods.

The big strides seen in generative AI are not based on somewhat obscure algorithms, but due to clearly defined generative principles. The resulting concrete implementations have proven themselves in large numbers of applications. We suggest that it is imperative to thoroughly investigate which of these generative principles may be operative also in the brain, and hence relevant for cognitive neuroscience. In addition, ML research led to a range of interesting characterizations of neural information processing systems. We discuss five examples, the shortcomings of world modelling, the generation of thought processes, attention, neural scaling laws, and quantization, that illustrate how much neuroscience could potentially learn from ML research.

How healthy am I? My immunome knows the score. Made up of 1.8 trillion cells and trillions more proteins, metabolites, mRNA, and other biomolecules, every person's immunome is different, and it is constantly changing. It's shaped by everything we have ever been exposed to physically and emotionally, and powerfully influences everything from our vulnerability to viruses and cancer to how well we age to whether we tolerate certain foods better than others. Yet as critical as the immunome is to each of us, it has remained largely beyond the reach of modern medicine. Now, thanks to a slew of new technologies, understanding this vital and mysterious system is within our grasp, paving the way for powerful new tools and tests to help us better assess, diagnose and treat diseases. On Monday, we published our 2025 edition of Climate Tech Companies to Watch .