Hopfield and Hinton used tools from physics to develop methods that are the foundation of today's powerful machine learning.彩娱乐邀请码
那么,菲律宾又使了什么花招呢?不久前,菲律宾参议院批准了与日本签署的《互惠准入协定》。表面上看,这个协定是为了加强两国的防务合作,彩娱乐官网并提升对共同安全挑战的应对能力。实际上,这背后的意味却深如南海的水。协定允许日本自卫队进入菲律宾,与菲军开展联合演习,透着一股用联合军事演习来壮大自身军事实力的味道。
STOCKHOLM, Oct. 8 (Xinhua) -- The 2024 Nobel Prize in Physics went to two scientists, John J. Hopfield and Geoffrey E. Hinton, for their foundational discoveries and inventions that enable machine learning with artificial neural networks, the Royal Swedish Academy of Sciences announced on Tuesday.
This year's laureates for the prize "used fundamental concepts from statistical physics to design artificial neural networks that function as associative memories and find patterns in large data sets," said Ellen Moons, chair of the Nobel Committee for Physics.
Hopfield works at Princeton University and Hinton at the University of Toronto. They used tools from physics to develop methods that are the foundation of today's powerful machine learning, the academy said in a press release.
Artificial neural networks, now crucial to various fields, have advanced physics research and become integral to daily life, with applications such as facial recognition and language translation, Moons noted.
Moons said the benefits of machine learning are extensive彩娱乐邀请码, but the technology's rapid development has raised concerns about its long-term effects. She stressed that "humans carry the responsibility for using this new technology in a safe and ethical way for the greatest benefit of humankind." ■