Since the semiconductor cost for state-of-the-art nodes is increasing, “Chiplet” technology is in the spotlight as a new evolutionary path to scale up integration and improve performance and reduce the total cost. With an SoC, a chip might incorporate a CPU, plus an additional several IP blocks on the same chip. That design is then scaled by the advanced node, which is an expensive process. With a chiplet model, those several IP blocks are hardened into smaller dies(chiplets) and those dies are integrated on an interposer to build a system. Those chips must be connected in the shortest length while considering signal integrity and power integrity so that the cutting-edge packaging technology is the key to improve the performance of IT equipments. In this presentation, the advanced 2.1D, 2.3D, 2.5D and 3D packaging technologies will be introduced as well as the several interposer technologies.

The discovery of new materials has been the essential force which brings a discontinuous improvement to industrial products' performance. However, the extra-vast combinatorial design space of material structures exceeds human experts' capability to explore all, thereby hampering material development. In this paper, we present a material industry-oriented web platform of an AI-driven molecular inverse-design system, which automatically designs brand new molecular structures rapidly and diversely. Different from existing inverse-design solutions, in this system, the combination of substructure-based feature encoding and molecular graph generation algorithms allows a user to gain high-speed, interpretable, and customizable design process. Also, a hierarchical data structure and user-oriented UI provide a flexible and intuitive workflow. The system is deployed on IBM's and our client's cloud servers and has been used by 5 partner companies. To illustrate actual industrial use cases, we exhibit inverse-design of sugar and dye molecules, that were carried out by experimental chemists in those client companies. Compared to a general human chemist's standard performance, the molecular design speed was accelerated more than 10 times, and greatly increased variety was observed in the inverse-designed molecules without loss of chemical realism.