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		abstraction of data which resides on the accelerator, the `af::array` object.
		Developers write code which performs operations on ArrayFire arrays which, in turn,
		are automatically translated into near-optimal kernels that execute on the computational
		device.

		are automatically translated into near-optimal kernels that execute on the computational
		device.
		ArrayFire is successfully used on devices ranging from low-power mobile phones to
		high-power GPU-enabled supercomputers including CPUs from all major vendors (Intel, AMD, Arm),

		device.
		ArrayFire is successfully used on devices ranging from low-power mobile phones to
		high-power GPU-enabled supercomputers including CPUs from all major vendors (Intel, AMD, Arm),
		GPUs from the dominant manufacturers (NVIDIA, AMD, and Qualcomm), as well as a variety

		are automatically translated into near-optimal kernels that execute on the computational
		device.
		ArrayFire is successfully used on devices ranging from low-power mobile phones to
		high-power GPU-enabled supercomputers including CPUs from all major vendors (Intel, AMD, Arm),

Improved readability and formatting.