February 2026

Deep reinforcement learning (RL) has been applied extensively to solve complex decision-making problems. In many real-world scenarios, tasks often have several conflicting objectives and may require multiple agents to cooperate, which are the multi-objective multi-agent decision-making problems. However, only few works have been conducted on this intersection. Existing approaches are limited to separate fields and can only handle multi-agent decision-making with a single objective, or multi-objective decision-making with a single agent. In this paper, we propose MO-MIX to […]

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:::info Authors: Enes Altuncu, ea483@kent.ac.uk (University of Kent, UK) Virginia N. L. Franqueira, V.Franqueira@kent.ac.uk (University of Kent, UK) Shujun Li, S.J.Li@kent.ac.uk (University of Kent, UK) ::: Abstract Recent advancements in AI, especially deep learning, have contributed to a significant increase in the creation of new realistic-looking synthetic media (video, image, and audio) and manipulation of existing media, which has led to the creation of the new term “deepfake”. Based on both the research literature and resources in English […]

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How are you, hacker? 🪐 What’s happening in tech today, February 28, 2026? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, we present you with these top quality stories. From Why “Small Changes” Don’t Exist in Production Game Systems to How to Navigate Identity, Direction, Story, and Sovereignty in the Age of AI, let’s dive right in. Why “Small Changes” Don’t Exist in Production Game Systems By @ktdevjournal [ 5 Min read […]

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Go 1.21 includes a preview of a change to for loop scoping that we plan to ship in Go 1.22, removing one of the most common Go mistakes. The Problem If you’ve written any amount of Go code, you’ve probably made the mistake of keeping a reference to a loop variable past the end of its iteration, at which point it takes on a new value that you didn’t want. For example, consider this program: func main() { […]

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It’s just a small change! How often do we hear that we need to fix something? We need to add a small feature. We need to tweak something. Code-wise or publishing, just realized they need this for retention, or maybe an analyst brought the newest data, so now we have to add just a few lines to the code. They don’t affect performance or any other departments, I promise. And it’s just like 3 minutes of coder work […]

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This paper presents a controlled empirical study of biologically motivated local learning for handwritten digit recognition. We evaluate an STDP-inspired competitive proxy and a practical hybrid benchmark built on the same spiking population encoder. The proxy is motivated by leaky integrate-and-fire E/I circuit models with three-factor delayed reward modulation. The hybrid update is local in pre x post rates but uses supervised labels and no timing-based credit assignment. On sklearn digits, fixed-seed evaluation shows classical pixel baselines from […]

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:::info Authors: Junyang Lin, junyang.ljy@alibaba-inc.com (Alibaba Group, China) Rui Men, menrui.mr@alibaba-inc.com (Alibaba Group, China) An Yang, ya235025@alibaba-inc.com (Alibaba Group, China) Chang Zhou, ericzhou.zc@alibaba-inc.com (Alibaba Group, China) Ming Ding, dm18@mails.tsinghua.edu.cn (Tsinghua University, China) Yichang Zhang, yichang.zyc@alibaba-inc.com (Alibaba Group, China) Peng Wang, zheluo.wp@alibaba-inc.com (Alibaba Group, China) Ang Wang, wangang.wa@alibaba-inc.com (Alibaba Group, China) Le Jiang, jiangle.jl@alibaba-inc.com (Alibaba Group, China) Xianyan Jia, xianyan.xianyanjia@alibaba-inc.com (Alibaba Group, China) Jie Zhang, wanglin.zj@alibaba-inc.com (Alibaba Group, China) Jianwei Zhang, zhangjianwei.zjw@alibaba-inc.com (Alibaba Group, China) Xu Zou, zoux18@mails.tsinghua.edu.cn (Tsinghua […]

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:::info Authors: Jinze Bai Shuai Bai Yunfei Chu Zeyu Cui Kai Dang Xiaodong Deng Yang Fan Wenbin Ge Yu Han Fei Huang Binyuan Hui Luo Ji Mei Li Junyang Lin Runji Lin Dayiheng Liu Gao Liu Chengqiang Lu Keming Lu Jianxin Ma Rui Men Xingzhang Ren Xuancheng Ren Chuanqi Tan Sinan Tan Jianhong Tu Peng Wang Shijie Wang Wei Wang Shengguang Wu Benfeng Xu Jin Xu An Yang Hao Yang Jian Yang Shusheng Yang Yang Yao Bowen Yu […]

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The Mirror that would pose as an Oracle Or: How we might be getting a little too intimate with our AI chatbots I never consciously set out to use AI as a coach, therapist, strategist, or mirror. It just… happened. At first, it was practical. Notes. Lists. Rewrites, drafts, edits. Research. Planning. Then it became something else. It started as a playful, curious experiment – then slowly crept towards being a standard mode of operating. I found myself […]

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This article was co-published with STAT, a national publication that delivers trusted and authoritative journalism about health, medicine, and the life sciences. Sign up for its health tech newsletter here. Telehealth company Cerebral will limit the consumer health data it uses for advertising purposes under a new order announced by the Federal Trade Commission last week. Cerebral, a startup best known for dispensing counseling services and prescriptions for conditions like anxiety and depression, has also agreed to pay $7 million […]

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