Ramin Hasani, CEO and cofounder of Liquid AI, discusses his company’s journey and impact and how the company’s much smaller models are tailor-made for devices, enabling the physical AI world.

A new set of reasons to act could provide the boost needed for the world to effectively tackle climate change.

When pg_type and pg_attribute are partially destroyed, how do you piece together a corrupted database? This real-world case reveals an ingenious workaround that saved 46% of the data.

Opportunities exist to reduce the global burden of brain health and noncommunicable diseases, fostering healthier communities and stronger economies.

Investing $1 annually in healthy aging interventions can yield $3 in economic and healthcare benefits in the United States—and potentially in other countries.

US state departments of transportation are setting capital priorities against a backdrop where bankable plans—with the best returns on investment—are increasingly important for project funding.

The Climate Transition Impact Framework is an approach for socioeconomic analysis of climate plans, piloted in Indonesia to help provide an evidence base to support climate action decision-making.

本文提出了一种渐进式抽象论证方法（Gradual AA-CBR），结合神经网络特征提取与辩论结构，提升案例推理的可解释性和分类能力，从而显著提高推理结果的可靠性与准确性。

iPhone 16 Pro 的操作按钮只能绑定一个快捷指令，使用不便。BANG!CASE 通过增加三个额外按钮，支持多种操作，并结合设备方向，实现更多快捷指令，提升生活效率。

本文研究了大语言模型（LLMs）在网络安全中的应用，特别是针对STRIDE威胁建模的案例。研究表明，LLMs在建模5G威胁时的表现受到多种因素的影响，强调了对其进行调整以满足网络安全需求的重要性。

Today, Mozilla Chief Financial Officer, Eric Muhlheim, testified in the U.S. v. Google LLC search trial, highlighting the potential impacts this case could have on small and independent browsers,...

本研究提出了一种新方法，用于验证神经网络控制器，专注于模拟阿尔索蜜特拉灵感的滑翔无人机，以实现精确的轨迹跟踪。研究表明，该训练方法提高了控制器的性能和鲁棒性，但仍需克服现有工具的局限，以推动更安全环保技术的发展。

本研究提出了TrueFake数据集，包含60万幅AI生成的假图像，旨在研究其在社交媒体上传播虚假信息的影响。实验结果表明，社交媒体的分享显著影响假图像的检测性能，强调在真实环境中评估取证模型的重要性。

本研究提出了一种新的深度学习框架用于检测Bankart损伤，并引入了首个公开的肩部病症数据集ScopeMRI。研究结果表明，该模型在常规MRI上的诊断性能与放射科医生相当，展示了深度学习在非侵入性影像诊断中的潜力。

本文综述了软件测试领域中自动化测试的挑战与改进方案，重点讨论遗传算法和粒子群优化方法的混合算法组合，以及其与突变测试和神经网络的互操作性，揭示了当前测试标准、可读性和模拟问题等挑战。