North Korean Hackers Are Targeting Top Crypto Firms With Malware Hidden in Job Applications A DPRK-linked group is using fake job sites and Python malware to infiltrate Windows systems of ...

Article citations More>> Widiyasono, A., Fakhrulddin, M. and Kusuma, Y. (2021) IoT Device Malware Detection Using Random Forest Algorithm. Proc. Int. Conf. Inf. Technol. Syst., 2021, 234-240. has been ...

As millions of new malware samples emerge every day, traditional malware detection techniques are no longer adequate. Static analysis methods, such as file signature, fail to detect unknown programs.

The I-Con framework opens new avenues for AI discovery by organizing more than 20 ML algorithms into a unified structure, much like a periodic table for machine learning.

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

MIT researchers created a periodic table of machine learning that shows how more than 20 classical algorithms are connected. The new framework sheds light on how scientists could fuse strategies ...

Using this framework, they merged elements of two existing algorithms to develop a new image classification method that outperformed state-of-the-art models by 8%. Like the periodic table of chemical ...

Conclusion MCED tests can transform oncologic care across the world. Combining advanced molecular biology and machine learning will address long-standing gaps in cancer diagnostics. By enabling ...

They used either classic machine learning algorithms or deep learning algorithms but not both to investigate which approach gave better results. Most previous works used one kind of classic ML ...