Intel has surfaced with their new Loihi 2 neural processor. Along with the new processor is Lava which is an ope source package to support the neural processor. The logic is made with Intel 4 which is still being developed for full production.
Neuromorphic computing, which draws insights from neuroscience to create chips that function more like the biological brain, aspires to deliver orders of magnitude improvements in energy efficiency, speed of computation and efficiency of learning across a range of edge applications: from vision, voice and gesture recognition to search retrieval, robotics, and constrained optimization problems.
Applications Intel and its partners have demonstrated to date include robotic arms, neuromorphic skins and olfactory sensing. Gaming probably could take advantage to help improve NPC capabilities etc.
Advances in Loihi 2 allow the architecture to support new classes of neuro-inspired algorithms and applications, while providing up to 10 times faster processing, up to 15 times greater resource density with up to 1 million neurons per chip, and improved energy efficiency. Benefitting from a close collaboration with Intel’s Technology Development Group, Loihi 2 has been fabricated with a pre-production version of the Intel 4 process, which underscores the health and progress of Intel 4. The use of extreme ultraviolet (EUV) lithography in Intel 4 has simplified the layout design rules compared to past process technologies. This has made it possible to rapidly develop Loihi 2.
The Lava software framework addresses the need for a common software framework in the neuromorphic research community. As an open, modular, and extensible framework, Lava will allow researchers and application developers to build on each other’s progress and converge on a common set of tools, methods, and libraries. Lava runs seamlessly on heterogeneous architectures across conventional and neuromorphic processors, enabling cross-platform execution and interoperability with a variety of artificial intelligence, neuromorphic and robotics frameworks. Developers can begin building neuromorphic applications without access to specialized neuromorphic hardware and can contribute to the Lava code base, including porting it to run on other platforms.
Ai in games craves for better solutions and maybe this is what is needed to make game more lifelike
The die mounted on a PGA carrier makes it easier to placed with a pick and place machine. . The device is plenty small enough to place it on a PCIe card where it can act a a new coprocessor. This logic could make mincemeat out of DLNA etc.