Top Mathematics discussions
NishMath
|
@www.fool.com - 27d
Quantum computing stocks have dramatically crashed following comments from Nvidia CEO Jensen Huang, who projected that truly useful quantum computers are still 15 to 30 years away. This statement triggered a massive sell-off, wiping out an estimated $8 billion in market value across the sector. Shares of key companies like IonQ, Rigetti Computing, and D-Wave Quantum plummeted, with drops exceeding 30% in a single day. The market reacted negatively to Huang's timeline, undermining previous optimism fueled by breakthroughs like Google's new 105-qubit 'Willow' chip, which was reported to have solved a complex calculation in five minutes, a feat that would take current supercomputers around 10 septillion years to complete.
Despite the setback, some industry leaders are pushing back against Huang's assessment. D-Wave Quantum CEO Alan Baratz dismissed Huang’s comments as “dead wrong,” highlighting that D-Wave's annealing quantum computers are already commercially viable. Baratz emphasized that their technology can solve problems in minutes that would take supercomputers millions of years, challenging Huang's view on current capabilities. He even offered to meet with Huang to discuss what he called “knowledge gaps” in the CEO's understanding of quantum technology. An X user also pointed out that Nvidia is currently hiring quantum engineers, adding further to the industry's resistance to the projected long wait for the technology.
Share:
References :
Classification:
Brian Wang@NextBigFuture.com - 55d
Nvidia is making significant strides in supporting artificial intelligence applications within the quantum computing field. AI is being leveraged for various tasks, such as designing qubits, creating quantum algorithms, controlling devices, and correcting errors in real-time. This also involves integrating Nvidia's CUDA-Q platform with quantum hardware from companies like Infleqtion and IonQ, aiming to enhance material design and drug discovery calculations. Nvidia's broad efforts suggest AI is a crucial component in realizing useful quantum applications and fault-tolerant quantum computing.
Recent advancements include Infleqtion's successful demonstration of logical qubits for materials science, utilizing Nvidia's CUDA-Q platform. This experiment, conducted with the University of Chicago and the University of Wisconsin, achieved a sixfold increase in accuracy for material design. The integration of Infleqtion’s Sqale quantum system with CUDA-Q provides researchers with access through cloud services and signifies an important step towards practical quantum applications through error correction and hardware-software integration.
Share:
References :
Classification:
@analyticsindiamag.com - 28d
Nvidia is aggressively expanding its presence in the robotics sector, highlighted by the development of its Jetson Thor computing platform. This platform is designed to replicate Nvidia’s success in AI chips and is a core component of their strategy to develop advanced humanoid robots. Furthermore, Nvidia is not working alone in this endeavor. They have partnered with Foxconn to create humanoid robots, aiming to move beyond just manufacturing and integrate into new tech areas. This strategic move demonstrates Nvidia’s focus on becoming a dominant player in AI-driven robotics, specifically for humanoid technology.
Nvidia is also addressing the challenge of training these robots through their Isaac GR00T Blueprint, unveiled at CES. This blueprint utilizes synthetic data generation to create the extensive datasets needed for imitation learning, allowing robots to mimic human actions. A new workflow uses Apple Vision Pro to capture human actions in a digital twin and the data is used in the Isaac Lab framework, which teaches robots to move and interact safely. Nvidia’s Cosmos platform also is in use by generating physics-aware videos that are also used to train robots. The company's CEO, Jensen Huang, emphasizes humanoid robots as the next big leap in AI innovation, aiming to establish Nvidia as a key player in the future of robotics and autonomous systems.
Share:
References :
Classification:
|
|