OpenClaw is AI assistant designed to perform tasks like booking flights, managing emails. The craze, risks to Beijing's tech ...
Abstract: Accurate stock price prediction is an important but difficult undertaking in the financial sector because to the complexity and noise inherent in stock market data. Traditional models often ...
Abstract: This paper develops a machine learning model to classify the various sorts of car damages with high performance toward damage detection. Precision, recall, and F1-score values for all types ...
Abstract: Electric load forecasting is a critical technology for optimizing energy distribution and grid management. Current works tend to suffer from the issue of insufficient capture of longterm ...
Distractify on MSN
The journalist is a machine: Lior Alexander and the end of the newsroom
Lior Alexander is the CEO of AlphaSignal. The platform has over a quarter of a million subscribers and generates 200 million ...
Abstract: The cyber attack has been growing rapidly on IoT(Internet of things). Existing security mechanisms are no longer sufficient to detect and mitigate these attacks. Intrusion Detection Systems ...
Summary: Meta’s Fundamental AI Research team has unveiled TRIBE, a groundbreaking foundation model designed to predict how the human brain processes visual and auditory stimuli. Trained on massive ...
Most distributed storage systems (DSS) use erasure codes, particularly Reed-Solomon (RS) codes [1]–[4], to achieve maximum error correction capability under the ...
Abstract: Breast cancer remains one of the leading causes of mortality among women worldwide, necessitating early and precise detection methods. Traditional models often struggle with imbalanced data, ...
Abstract: Significant Wave Height (SWH), as an important parameter describing the ocean dynamic environment, affects the ocean environment and maritime activities. At present, the feasibility of ...
Abstract: Software-Defined Networking (SDN) enhances programmability and control but remains highly vulnerable to distributed denial-of-service (DDoS) attacks. Existing solutions often adapt ...
Abstract: Large Language Models (LLMs) have shown significant challenges in detecting and repairing vulnerable code, particularly when dealing with vulnerabilities involving multiple aspects, such as ...
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