The Biden administration has forced a Saudi Aramco venture capital firm to sell its shares in a Silicon Valley AI chip startup backed by OpenAI co-founder Sam Altman, an exit that could have broader implications for the Middle Eastern country’s growing investments in US technology.
Regulatory efforts to protect data are making strides globally. Patient data is protected by law in the United States and elsewhere. In Europe the General Data Protection Regulation (GDPR) guards personal data and recently led to a US $1.3 billion fine for Meta. You can even think of Apple’s App Store policies against data sharing as a kind of data-protection regulation.
“These are good constraints. These are constraints society wants,” says Michael Gao, founder and CEO of Fabric Cryptography, one of the startups developing FHE-accelerating chips. But privacy and confidentiality come at a cost: They can make it more difficult to track disease and do medical research, they potentially let some bad guys bank, and they can prevent the use of data needed to improve AI.
“Fully homomorphic encryption is an automated solution to get around legal and regulatory issues while still protecting privacy,” says Kurt Rohloff, CEO of Duality Technologies, in Hoboken, N.J., one of the companies developing FHE accelerator chips. His company’s FHE software is already helping financial firms check for fraud and preserving patient privacy in health care research.
Harvard researchers have realized a key milestone in the quest for stable, scalable quantum computing, an ultra-high-speed technology that will enable game-changing advances in a variety of fields, including medicine, science, and finance.
The team, led by Mikhail Lukin, the Joshua and Beth Friedman University Professor in physics and co-director of the Harvard Quantum Initiative, has created the first programmable, logical quantum processor, capable of encoding up to 48 logical qubits, and executing hundreds of logical gate operations, a vast improvement over prior efforts.
Published in Nature, the work was performed in collaboration with Markus Greiner, the George Vasmer Leverett Professor of Physics; colleagues from MIT; and QuEra Computing, a Boston company founded on technology from Harvard labs.
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Discover the financial and environmental benefits of Tesla’s Powerwall with solar, claiming to be 20% cheaper over a decade than traditional backup generators.
Unleash savings with Tesla’s Powerwall and solar combo, a green powerhouse that beats backup generators by 20% over 10 years.
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The promise and peril of AI have dominated conversations this year.
Innovator leverages large-language models for financial services tech tools that better analyst work and performance.
Ukraine’s largest mobile phone operator said Russia was most likely behind a “powerful” cyberattack that disrupted phone and internet services Tuesday for about 24 million people in the country.
The cyberattack, the largest to strike Ukraine since Russia’s invasion began nearly two years ago, took down ATMs and digital banking services, disabled some air raid sirens, and hampered broader cellular service across Ukraine.
“This is definitely a cyberattack and the probability that Russian entities are behind it is very close to 100%,” Oleksandr Komarov, chief executive officer of Kyivstar GSM JSC, told Bloomberg by phone.
➤ Tesla teases a number of new features coming soon ➤ Bernstein calls TSLA short their best idea for 2024 ➤ Tesla China sales and production ➤ Model Y standard range sells out ➤ Tesla executives meet in Thailand ➤ Model Y becomes second best-selling car in US ➤ Tesla adds pre-qualifying finance option ➤ Cybertruck discussion from reviewers: https://youtu.be/8_aE58AMIw0 ➤ Calendar 0:00 TSLA 0:25 Bernstein recommends TSLA short 3:02 New features 7:25 China numbers 10:45 Model Y China 11:26 Thailand 12:26 Model Y US 13:11 Pre-qualification 13:38 Cybertruck reviewers 14:33 Calendar X:
Building a plane while flying it isn’t typically a goal for most, but for a team of Harvard-led physicists that general idea might be a key to finally building large-scale quantum computers.
Described in a new paper in Nature, the research team, which includes collaborators from QuEra Computing, MIT, and the University of Innsbruck, developed a new approach for processing quantum information that allows them to dynamically change the layout of atoms in their system by moving and connecting them with each other in the midst of computation.
This ability to shuffle the qubits (the fundamental building blocks of quantum computers and the source of their massive processing power) during the computation process while preserving their quantum state dramatically expands processing capabilities and allows for self-correction of errors. Clearing this hurdle marks a major step toward building large-scale machines that leverage the bizarre characteristics of quantum mechanics and promise to bring about real-world breakthroughs in material science, communication technologies, finance, and many other fields.
