STOCKHOLM — John Hopfield and Geoffrey Hinton were awarded the Nobel Prize in physics Tuesday for discoveries and inventions that formed the building blocks of machine learning.
“This year’s two Nobel Laureates in physics have used tools from physics to develop methods that are the foundation of today’s powerful machine learning,” the Nobel committee said in a press release.
Hopfield’s research is carried out at Princeton University and Hinton works at the University of Toronto.
The Oregon company already has robots working in a Spanx warehouse and running trials at Amazon facilities.
Researchers from Tohoku University and the Massachusetts Institute of Technology (MIT) have unveiled a new AI tool for high-quality optical spectra with the same accuracy as quantum simulations, but working a million times faster, potentially accelerating the development of photovoltaic and quantum materials.
Organizations are losing between $94 — $186 billion annually to vulnerable or insecure APIs (Application Programming Interfaces) and automated abuse by bots. That’s according to The Economic Impact of API and Bot Attacks report from Imperva, a Thales company. The report highlights that these security threats account for up to 11.8% of global cyber events and losses, emphasizing the escalating risks they pose to businesses worldwide.
Drawing on a comprehensive study conducted by the Marsh McLennan Cyber Risk Intelligence Center, the report analyzes over 161,000 unique cybersecurity incidents. The findings demonstrate a concerning trend: the threats posed by vulnerable or insecure APIs and automated abuse by bots are increasingly interconnected and prevalent. Imperva warns that failing to address security risks associated with these threats could lead to substantial financial and reputational damage.
Researchers have developed an algorithm that could dramatically reduce the energy consumption of artificial intelligence systems.
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Scientists at BitEnergy AI created a method called “Linear-complexity multiplication” (L-Mul) that replaces complex floating-point multiplications in AI models with simpler integer additions.
The advent of LLMs has reopened a debate about the limits of machine intelligence — and requires new benchmarks of what reasoning consists of.
One milestone along that journey is the demonstration of machine common sense.
AI-powered assistants are set to become a part of daily life, offering guidance and reminders through body-worn devices that blend AI with XR.
A student built a pangolin-inspired robot for planting, winning the University of Surrey’s robotics contest.
A California student created Plantolin, a pangolin-inspired robot for digging and planting, winning the University of Surrey’s contest.
How is AI impacting data systems? Discover the answers from experts at NVIDIA, Google, Microsoft, and Western Digital.
Despite the promising findings, the study acknowledges several limitations of quantum computing. One of the primary challenges is hardware noise, which can reduce the accuracy of quantum computations. Although error correction methods are improving, quantum computing has not yet reached the level of fault tolerance needed for widespread commercial use. Additionally, the study notes that while quantum computing has shown promise in PBPK/PD modeling and site selection, further research is needed to fully realize its potential in these areas.
Looking ahead, the study suggests several future directions for research. One of the key areas for improvement is the integration of quantum algorithms with existing clinical trial infrastructure. This will require collaboration between researchers, pharmaceutical companies and regulators to ensure that quantum computing can be effectively applied in real-world clinical settings. Additionally, the study calls for more work on developing quantum algorithms that can handle the inherent variability in biological data, particularly in genomics and personalized medicine.
The research was conducted by a team from several prominent institutions. Hakan Doga, Aritra Bose, and Laxmi Parida are from IBM Research and IBM Quantum. M. Emre Sahin is affiliated with The Hartree Centre, STFC, while Joao Bettencourt-Silva is based at IBM Research, Dublin, Ireland. Anh Pham, Eunyoung Kim, Anh Pham, Eunyoung Kim and Alan Andress are from Deloitte Consulting LLP. Sudhir Saxena and Radwa Soliman are from GNQ Insilico Inc. Jan Lukas Robertus is affiliated with Imperial College London and Royal Brompton and Harefield Hospitals and Hideaki Kawaguchi is from Keio University. Finally, Daniel Blankenberg is from the Lerner Research Institute, Cleveland Clinic.
