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AUSTIN (KXAN) — Beep beep — Uber rideshare users can now book a driverless ride around Austin, as the ridehailing company officially launches its partnership with Waymo.

Waymo and Uber announced in September the planned collaboration between the two companies, with rollouts poised in both Austin and Atlanta in 2025. Beginning Tuesday, Uber users can match with one of Waymo’s Jaguar I-PACE vehicles while booking an UberX, Uber Green, Uber Comfort or Uber Comfort Electric vehicle.

“Starting today, Austin riders can be matched with a Waymo autonomous vehicle on the Uber app, making their next trip even more special,” Uber CEO Dara Khosrowshahi said in the announcement. “With Waymo’s technology and Uber’s proven platform, we’re excited to introduce our customers to a future of transportation that is increasingly electric and autonomous.”

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REDMOND, Wash. — March 3, 2025 — On Monday, Microsoft Corp. is unveiling Microsoft Dragon Copilot, the first AI assistant for clinical workflow that brings together the trusted natural language voice dictation capabilities of DMO with the ambient listening capabilities of DAX, fine-tuned generative AI and healthcare-adapted safeguards. Part of Microsoft Cloud for Healthcare, Dragon Copilot is built on a secure modern architecture that enables organizations to deliver enhanced experiences and outcomes across care settings for providers and patients alike.

Clinician burnout in the U.S. dropped from 53% in 2023 to 48% in 2024, in part due to technology advancements. However, with an aging population, and persistent burnout felt across the profession, a significant U.S. workforce shortage is projected. In response, health systems are adopting AI to streamline administrative tasks, enhance care access, and enable faster clinical insights to improve healthcare globally.

“At Microsoft, we have long believed that AI has the incredible potential to free clinicians from much of the administrative burden in healthcare and enable them to refocus on taking care of patients,” said Joe Petro, corporate vice president of Microsoft Health and Life Sciences Solutions and Platforms. “With the launch of our new Dragon Copilot, we are introducing the first unified voice AI experience to the market, drawing on our trusted, decades-long expertise that has consistently enhanced provider wellness and improved clinical and financial outcomes for provider organizations and the patients they serve.”

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Anthropic closed a $3.5 billion series E funding round, valuing the AI company at $61.5 billion post-money, the firm announced today. Lightspeed Venture Partners led the round with a $1 billion contribution, cementing Anthropic’s status as one of the world’s most valuable private companies and demonstrating investors’ unwavering appetite for leading AI developers despite already astronomical valuations.

The financing attracted participation from an impressive roster of investors including Salesforce Ventures, Cisco Investments, Fidelity Management & Research Company, General Catalyst, D1 Capital Partners, Jane Street, Menlo Ventures and Bessemer Venture Partners.

With this investment, Anthropic will advance its development of next-generation AI systems, expand its compute capacity, deepen its research in ten and alignment, and accelerate its international expansion, the company said in its announcement.

Anthropic’s dramatic valuation reflects its exceptional commercial momentum. The company’s annualized revenue reached $1 billion by December 2024, representing a tenfold increase year-over-year, according to people familiar with the company’s finances. That growth has accelerated further, with revenue reportedly increasing by 30% in just the first two months of 2025, according to a Bloomberg report.

Continue reading “Anthropic Raises .5 Billion, Reaching .5 Billion Valuation As AI Investment Frenzy Continues” | >

Scientists have discovered a natural compound that can halt a key process involved in the progression of certain cancers and demyelinating diseases—conditions that damage the protective myelin sheath surrounding neurons, such as multiple sclerosis (MS).

A study published in the Journal of Biological Chemistry identified a plant-derived flavonoid called sulfuretin as an inhibitor of an enzyme linked to both MS and cancer. The research, conducted in cell models at Oregon Health & Science University, demonstrated that sulfuretin effectively blocked the enzyme’s activity. The next phase of research will involve testing the compound in animal models to evaluate its therapeutic potential, effectiveness, and possible side effects in treating cancer and neurodegenerative diseases like MS.

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Chinese scientists unveiled a superconducting quantum computer prototype named “Zuchongzhi 3.0” with 105 qubits on Monday (Beijing Time), marking a breakthrough in China’s quantum computing advancements.

The achievement also sets a new record in quantum computational advantage within superconducting systems.

Developed by Chinese quantum physicists Pan Jianwei, Zhu Xiaobo, Peng Chengzhi, etc., “Zuchongzhi 3.0” features 105 readable qubits and 182 couplers. It processes quantum random circuit sampling tasks at a speed quadrillion times faster than the world’s most powerful supercomputer and 1 million times faster than Google’s latest results published in Nature in October 2024.

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In classical electromagnetism, electric and magnetic fields are the fundamental entities responsible for all physical effects. There is a compact formulation of electromagnetism that expresses the fields in terms of another quantity known as the electromagnetic potential, which can have a value everywhere in space. The fields are easily derived theoretically from the potential, but the potential itself was taken to be purely a mathematical device, with no physical meaning.

In quantum mechanics, shifts in the electromagnetic potential alter the description of a charged particle only by shifting its phase—that is, by advancing or retarding the crests and troughs in its quantum wave function. In general, however, such a phase change does not lead to any difference in the measurable properties of a particle.

But in 1959 Yakir Aharonov and David Bohm of the University of Bristol, UK, devised a thought experiment that linked the potential to a measurable result. In their scenario, a beam of electrons is split, with the two halves made to travel around opposite sides of a cylindrical electromagnet, or solenoid. The magnetic field is concentrated inside the solenoid and can be made arbitrarily weak outside by making the cylinder extremely narrow. So Aharonov and Bohm argued that the two electron paths can travel through an essentially field-free region that surrounds the concentrated field within the electromagnet.

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A new high-performance quantum processor boasts 105 superconducting qubits and rivals Google’s acclaimed Willow processor.

In the quest for useful quantum computers, processors based on superconducting qubits are especially promising. These devices are both programmable and capable of error correction. In December 2024, researchers at Google Quantum AI in California reported a 105-qubit superconducting processor known as Willow (see Research News: Cracking the Challenge of Quantum Error Correction) [1]. Now Jian-Wei Pan at the University of Science and Technology of China and colleagues have demonstrated their own 105-qubit processor, Zuchongzhi 3.0 (Fig. 1) [2]. The two processors have similar performances, indicating a neck-and-neck race between the two groups.

Quantum advantage is the claim that a quantum computer can perform a specific task faster than the most powerful nonquantum, or classical, computer. A standard task for this purpose is called random circuit sampling, and it works as follows. The quantum computer applies a sequence of randomly ordered operations, known as a random circuit, to a set of qubits. This circuit transforms the qubits in a unique and complex way. The computer then measures the final states of the qubits. By repeating this process many times with different random circuits, the quantum computer records a probability distribution of final qubit states.

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Water may have first formed 100–200 million years after the Big Bang, according to a modeling paper published in Nature Astronomy. The authors suggest that the formation of water may have occurred in the universe earlier than previously thought and may have been a key constituent of the first galaxies.

Water is crucial for life as we know it, and its components—hydrogen and oxygen—are known to have formed in different ways. Lighter chemical elements such as hydrogen, helium and were forged in the Big Bang, but heavier elements, such as oxygen, are the result of nuclear reactions within or supernova explosions. As such, it is unclear when water began to form in the universe.

Researcher Daniel Whalen and colleagues utilized computer models of two supernovae—the first for a star 13 times the and the second for a star 200 times the mass of the sun—to analyze the products of these explosions. They found that 0.051 and 55 (where one solar mass is the mass of our sun) of oxygen were created in the first and second , respectively, due to the very high temperatures and densities reached.

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Astronomers have performed a multiwavelength study of nine open cluster candidates. As a result, they found that all of them are genuine open clusters and characterized by their fundamental properties. The finding was reported in a research paper published Feb. 21 on the arXiv pre-print server.

Open clusters (OCs), formed from the same giant molecular cloud, are groups of stars loosely gravitationally bound to each other. So far, more than 1,000 of them have been discovered in the Milky Way, and scientists are still looking for more, hoping to find a variety of these stellar groupings.

Expanding the list of known and studying them in detail could be crucial for improving our understanding of the formation and evolution of our galaxy.

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For decades, scientists have relied on electrodes and dyes to track the electrical activity of living cells. Now, engineers at the University of California San Diego have discovered that quantum materials just a single atom thick can do the job—using only light.

A new study, published in Nature Photonics, shows that these ultra-thin semiconductors, which trap electrons in two dimensions, can be used to sense the biological electrical activity of living cells with high speed and resolution.

Scientists have continually been seeking better ways to track the electrical activity of the body’s most excitable cells, such as neurons, heart muscle fibers and pancreatic cells. These tiny electrical pulses orchestrate everything from thought to movement to metabolism, but capturing them in real time and at large scales has remained a challenge.

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