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How technology convergence is redefining the future Innovation thrives on technology convergence or combination, convergence and compounding Mastering these can tackle global challenges and shape technology
What do we know about the economics of AI? - MIT News Since much economic growth comes from tech innovation, the way societies use artificial intelligence is of keen interest to MIT Institute Professor Daron Acemoglu, who has published several papers on AI economics in recent months
Future of work: Using technology to improve job matching The global labour market is transforming due to shifting demographics, new technology and economic disruption Conventional job-matching systems are becoming outdated as a result, leading to prolonged unemployment and reduced productivity A recent report, Matching Talent to the Jobs of Tomorrow, explains how public employment services can use technology to better match jobs with talent
Nuno Loureiro, professor and director of MIT’s Plasma . . . - MIT News Nuno Loureiro, an MIT professor of nuclear science and engineering and of physics, has died at 47 A theoretical physicist and fusion scientist, and director of the MIT Plasma Science and Fusion Center, Loureiro studied complex problems at the center of fusion vacuum chambers and at the edges of the universe
How will geoeconomics and technology define the new economy? Geoeconomics and technology trends are poised to shape business strategies in the next five years, according to chief strategy officers The new World Economic Forum report Four Futures for the New Economy: Geoeconomics and Technology in 2030 explores plausible scenarios for the global economy at the intersection of these trends, and their strategic implications for businesses This is the
New 3D chips could make electronics faster and more energy-efficient . . . A low-cost, scalable fabrication technology developed at MIT can integrate fast, efficient gallium nitride transistors onto a standard silicon chip, which could boost the performance of electronic chips used in high-bandwidth applications like video calling and real-time deep learning
Photonic processor could enable ultrafast AI computations . . . - MIT News Researchers developed a fully integrated photonic processor that can perform all the key computations of a deep neural network on a photonic chip, using light This advance could improve the speed and energy-efficiency of running intensive deep learning models for applications like lidar, astronomical research, and navigation