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  2. Kalam - Wikipedia

    en.wikipedia.org/wiki/Kalam

    Ilm al-kalam [a] or ilm al-lahut, [b] often shortened to kalam, is the scholastic, speculative, or rational study of Islamic theology (). [2] It can also be defined as the science that studies the fundamental doctrines of Islamic faith (usul al-din), proving their validity, or refuting doubts regarding them. [3]

  3. Hikmah - Wikipedia

    en.wikipedia.org/wiki/Hikmah

    Hikmah (also Hikmat, Arabic: حكمة, ḥikma) is an Arabic word that means wisdom, sagacity, philosophy, rationale or underlying reason.The Quran mentions "hikmah" in various places, where it is understood as knowledge and understanding of the Quran, fear of God, and a means of nourishing the spirit or intellect.

  4. Al-Milal wa al-Nihal - Wikipedia

    en.wikipedia.org/wiki/Al-Milal_wa_al-Nihal

    Kitāb al–Milal wa al-Nihal (Arabic: كتاب الملل والنحل, The Book of Sects and Creeds), written by the Islamic scholar Muhammad al-Shahrastani (d. 1153 CE), is a non-polemical study of religious communities and philosophies that had existed up to his time, considered to be the first systematic study of religion.

  5. Kutub al-Sittah - Wikipedia

    en.wikipedia.org/wiki/Kutub_al-Sittah

    Kutub al-Sittah (Arabic: ٱلْكُتُب ٱلسِّتَّة, romanized: al-Kutub al-Sitta, lit. 'the Six Books'), also known as al-Sihah al-Sitta (Arabic: الصحاح الستة, romanized: al-Ṣiḥāḥ al-Sitta, lit.

  6. Yang Zhu - Wikipedia

    en.wikipedia.org/wiki/Yang_Zhu

    Yang Zhu directed his thought to attainment of the spiritual self through self-expression and finding contentment. [4] Henri Maspero [6] described Yang's philosophy as "a mixture of pessimism and fatalism". The Yang Zhu chapter of Liezi says: One hundred years is the limit of a long life. Not one in a thousand ever attains it.

  7. Deep learning - Wikipedia

    en.wikipedia.org/wiki/Deep_learning

    Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning.The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.