Local students awarded with Frank G. Paul Medal of Excellence
Seniors from high schools in Broome, Chenango, and Tioga Counties were honored for their academic excellence on Tuesday at SUNY Broome.
The top students in math and science at each school were given a $1,000 per year scholarship and a medal for their achievement.
This is the 24th year of the scholarship, which was established by Francis and Lillian Paul.
Francis was an IBM employee who believed everyone should have access to education regardless of their financial circumstances. He passed away in 1996.
The awards are given out each year by their daughter, Becky Komorowski.
'My heart is just full of love, and I really wish they were here. I really do. I brought a picture of them, and it's up on the front, and I'm just really proud to be able to speak for my family,' said Komorowski.
Komorowski says she hopes the scholarship encourages students to continue doing their best,
Students who attend first SUNY Broome will receive the $1,000 scholarship for all four years of college, should they go on to pursue a bachelor's degree.
Komorowski says she took the scholarship over from her parents, and her daughter plans to continue handing it out after she is no longer able to.
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Local students awarded with Frank G. Paul Medal of Excellence
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Yahoo
3 days ago
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Israeli quantum startup Qedma just raised $26 million, with IBM joining in
Despite their imposing presence, quantum computers are delicate beasts, and their errors are among the main bottlenecks that the quantum computing community is actively working to address. Failing this, promising applications in finance, drug discovery, and materials science may never become real. That's the reason why Google touted the error correction capacities of its latest quantum computing chip, Willow. And IBM is both working on delivering its own 'fault-tolerant' quantum computer by 2029 and collaborating with partners like Qedma, an Israeli startup in which it also invested, as TechCrunch learned exclusively. While most efforts focus on hardware, Qedma specializes in error mitigation software. Its main piece of software, QESEM, or quantum error suppression and error mitigation, analyzes noise patterns to suppress some classes of errors while the algorithm is running and mitigate others in post-processing. Qedma's co-founder and chief scientific officer, Professor Dorit Aharonov, once described as a member of 'quantum royalty' for her and her father's contributions to the field, said this enables quantum circuits up to 1,000 times larger to run accurately on today's hardware, without waiting for further advancements on error correction at the computer level. IBM itself does both quantum hardware and software, and some of its partners, like French startup Pasqal, also develop their own hardware. But it sees value as well in partnering with companies more narrowly focusing on the software layer, like Qedma and Tiger Global-backed Finnish startup Algorithmiq, its VP of Quantum, Jay Gambetta, told TechCrunch. That's because IBM thinks driving quantum further requires a community effort. 'If we all work together, I do think it's possible that we will get scientific accepted definitions of quantum advantage in the near future, and I hope that we can then turn them into more applied use cases that will grow the industry,' Gambetta said. 'Quantum advantage' usually refers to demonstrating the usefulness of quantum over classical computers. 'But useful is a very subjective term,' Gambetta said. In all likelihood, it will first apply to an academic problem, not a practical one. In this context, it may take more than one attempt to build consensus that it's not just another artificial or overly constrained scenario. Still, having a quantum computer execute a program that a classical computer can't simulate with the same accuracy would be an important step for the industry — and Qedma claims it is getting closer. 'It's possible that already within this year, we'll be able to demonstrate with confidence that the quantum advantage is here,' CEO and co-founder Asif Sinay said. With a doctorate in physics, Sinay previously worked as a physicist at Magic Leap, then a multi-billion-worth AR company with a large R&D center in Israel. Like the founders of several Israeli startups, from Metacafe to Wiz, he is also a Talpion — an alum from Israel's elite military program Talpiot, where one of his classmates was Lior Litwak. Litwak is now a managing partner at Israeli VC firm Glilot Capital Partners, which led Qedma's $26 million Series A through its early growth fund, Glilot+, which he heads. The round included participation from existing investors such as TPY Capital, which backed Qedma's $4.7 million seed round in 2020, as well as new investors including Korean Investment Partners — and IBM. Since last September, Qedma has been available through IBM's Qiskit Functions Catalog, which makes quantum more accessible to end users. Sinay noted the synergies between the two companies, but emphasized that Qedma's plans are hardware-agnostic. The startup has already conducted a demo on the Aria computer from IonQ, a publicly listed U.S. company focused on trapped ion quantum computing. In addition, Qedma has an evaluation agreement with an unnamed partner Sinay described as 'the largest company in the market.' Recently, it also presented its collaboration with Japan's RIKEN on how to combine quantum with supercomputers. The joint Q2B Tokyo presentation was co-delivered by Qedma's CTO and third co-founder, Professor Netanel Lindner. An associate professor of theoretical physics and research group lead at Technion, he told TechCrunch he is hoping that some of his former doctorate students — or others they know — will join Qedma as part of the startup's hiring efforts. According to Sinay, Qedma will use the proceeds from its latest funding round to grow its team from around 40 to between 50 and 60 people. Some of these new recruits will be researchers and software engineers, but he said the startup also plans to hire for marketing and sales roles. 'We are selling our software to the end users, and our partners are the hardware manufacturers.' For hardware manufacturers like IBM, this software layer addresses the fact that a quant at a bank or a chemist who could leverage quantum are not experts in how to run circuits in the presence of noise. However, they know their respective domains and the conditions they want to set. 'So you want to be able to write the problem and say, I want it to run with this accuracy, I'm OK with this much usage of a quantum computer, and this much usage of a classical computer,' Gambetta said. 'They want [these] to be essentially little options that they can put into their software; and that's exactly what Qedma is doing, as well as some of [the] other partners we're working with.' Some researchers are already taking advantage of this via Qiskit Functions, or through partnerships that research institutions have established with Qedma and its industry peers. But the debate is still open as to when these experiments will become larger, and when quantum advantage will materialize for the broader world. Qedma hopes to accelerate the timeline by providing a shortcut. Unlike error correction at the computer level, which adds overhead that limits scalability, Qedma's approach doesn't require more quantum bits, or qubits. 'Our claim is that we can get quantum advantage even before a million qubits are achieved,' Lindner said. However, other companies are approaching that issue from different angles. For instance, French startup Alice & Bob raised $104 million earlier this year to develop a fault-tolerant quantum computer whose architecture relies on 'cat qubits,' which are inherently protected against certain errors, reducing the need for more qubits. But Qedma is not dismissive of the race for more qubits; since it acts as a booster either way, its team wants hardware to have as many qubits as possible, and the best qubits possible. In practice, though, it will be hard to maximize both at once, just like software-based error mitigation typically means longer runtimes. The best choice will depend on the specific task — but first, quantum will have to get to those tasks.


TechCrunch
3 days ago
- TechCrunch
Israeli quantum startup Qedma just raised $26 million, with IBM joining in
Despite their imposing presence, quantum computers are delicate beasts, and their errors are among the main bottlenecks that the quantum computing community is actively working to address. Failing this, promising applications in finance, drug discovery, and materials science may never become real. That's the reason why Google touted the error correction capacities of its latest quantum computing chip, Willow. And IBM is both working on delivering its own 'fault-tolerant' quantum computer by 2029 and collaborating with partners like Qedma, an Israeli startup in which it also invested, as TechCrunch learned exclusively. While most efforts focus on hardware, Qedma specializes in error mitigation software. Its main piece of software, QESEM, or quantum error suppression and error mitigation, analyzes noise patterns to suppress some classes of errors while the algorithm is running and mitigate others in post-processing. Qedma's co-founder and chief scientific officer, Professor Dorit Aharonov, once described as a member of 'quantum royalty' for her and her father's contributions to the field, said this enables quantum circuits up to 1,000 times larger to run accurately on today's hardware, without waiting for further advancements on error correction at the computer level. IBM itself does both quantum hardware and software, and some of its partners, like French startup Pasqal, also develop their own hardware. But it sees value as well in partnering with companies more narrowly focusing on the software layer, like Qedma and Tiger Global-backed Finnish startup Algorithmiq, its VP of Quantum, Jay Gambetta, told TechCrunch. That's because IBM thinks driving quantum further requires a community effort. 'If we all work together, I do think it's possible that we will get scientific accepted definitions of quantum advantage in the near future, and I hope that we can then turn them into more applied use cases that will grow the industry,' Gambetta said. 'Quantum advantage' usually refers to demonstrating the usefulness of quantum over classical computers. 'But useful is a very subjective term,' Gambetta said. In all likelihood, it will first apply to an academic problem, not a practical one. In this context, it may take more than one attempt to build consensus that it's not just another artificial or overly constrained scenario. Techcrunch event Save $450 on your TechCrunch All Stage pass Build smarter. Scale faster. Connect deeper. Join visionaries from Precursor Ventures, NEA, Index Ventures, Underscore VC, and beyond for a day packed with strategies, workshops, and meaningful connections. Save $450 on your TechCrunch All Stage pass Build smarter. Scale faster. Connect deeper. Join visionaries from Precursor Ventures, NEA, Index Ventures, Underscore VC, and beyond for a day packed with strategies, workshops, and meaningful connections. Boston, MA | REGISTER NOW Still, having a quantum computer execute a program that a classical computer can't simulate with the same accuracy would be an important step for the industry — and Qedma claims it is getting closer. 'It's possible that already within this year, we'll be able to demonstrate with confidence that the quantum advantage is here,' CEO and co-founder Asif Sinay said. With a doctorate in physics, Sinay previously worked as a physicist at Magic Leap, then a multi-billion-worth AR company with a large R&D center in Israel. Like the founders of several Israeli startups, from Metacafe to Wiz, he is also a Talpion — an alum from Israel's elite military program Talpiot, where one of his classmates was Lior Litwak. Litwak is now a managing partner at Israeli VC firm Glilot Capital Partners, which led Qedma's $26 million Series A through its early growth fund, Glilot+, which he heads. The round included participation from existing investors such as TPY Capital, which backed Qedma's $4.7 million seed round in 2020, as well as new investors including Korean Investment Partners — and IBM. Since last September, Qedma has been available through IBM's Qiskit Functions Catalog, which makes quantum more accessible to end users. Sinay noted the synergies between the two companies, but emphasized that Qedma's plans are hardware-agnostic. The startup has already conducted a demo on the Aria computer from IonQ, a publicly listed U.S. company focused on trapped ion quantum computing. In addition, Qedma has an evaluation agreement with an unnamed partner Sinay described as 'the largest company in the market.' Recently, it also presented its collaboration with Japan's RIKEN on how to combine quantum with supercomputers. Image Credits:Qedma The joint Q2B Tokyo presentation was co-delivered by Qedma's CTO and third co-founder, Professor Netanel Lindner. An associate professor of theoretical physics and research group lead at Technion, he told TechCrunch he is hoping that some of his former doctorate students — or others they know — will join Qedma as part of the startup's hiring efforts. According to Sinay, Qedma will use the proceeds from its latest funding round to grow its team from around 40 to between 50 and 60 people. Some of these new recruits will be researchers and software engineers, but he said the startup also plans to hire for marketing and sales roles. 'We are selling our software to the end users, and our partners are the hardware manufacturers.' For hardware manufacturers like IBM, this software layer addresses the fact that a quant at a bank or a chemist who could leverage quantum are not experts in how to run circuits in the presence of noise. However, they know their respective domains and the conditions they want to set. 'So you want to be able to write the problem and say, I want it to run with this accuracy, I'm OK with this much usage of a quantum computer, and this much usage of a classical computer,' Gambetta said. 'They want [these] to be essentially little options that they can put into their software; and that's exactly what Qedma is doing, as well as some of [the] other partners we're working with.' Some researchers are already taking advantage of this via Qiskit Functions, or through partnerships that research institutions have established with Qedma and its industry peers. But the debate is still open as to when these experiments will become larger, and when quantum advantage will materialize for the broader world. Qedma hopes to accelerate the timeline by providing a shortcut. Unlike error correction at the computer level, which adds overhead that limits scalability, Qedma's approach doesn't require more quantum bits, or qubits. 'Our claim is that we can get quantum advantage even before a million qubits are achieved,' Lindner said. However, other companies are approaching that issue from different angles. For instance, French startup Alice & Bob raised $104 million earlier this year to develop a fault-tolerant quantum computer whose architecture relies on 'cat qubits,' which are inherently protected against certain errors, reducing the need for more qubits. But Qedma is not dismissive of the race for more qubits; since it acts as a booster either way, its team wants hardware to have as many qubits as possible, and the best qubits possible. In practice, though, it will be hard to maximize both at once, just like software-based error mitigation typically means longer runtimes. The best choice will depend on the specific task — but first, quantum will have to get to those tasks.


Scientific American
4 days ago
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To Save Patients from Extreme Heat, a Hospital Is Turning to AI
CLIMATEWIRE | When extreme heat hits the Boston area, emergency departments are packed with people who are dehydrated, experiencing kidney or heart problems, or are having heat cramps. Now a health care system that serves 2.5 million patients across Massachusetts is turning to artificial intelligence for help. 'The stress of the heat exacerbates those conditions, and we'll see a 10 percent jump of people in the emergency department not just for heat illness, but also weakness or syncope or other conditions due to the heat,' said Paul Biddinger, chief preparedness and continuity officer at Mass General Brigham, the nonprofit academic health system that is working on a new alert system to warn people about the dangers of heat waves. On supporting science journalism If you're enjoying this article, consider supporting our award-winning journalism by subscribing. By purchasing a subscription you are helping to ensure the future of impactful stories about the discoveries and ideas shaping our world today. In February, MGB was one of five applicants to join a Sustainability Accelerator run by IBM. The program seeks to help communities facing environmental and economic stress through technology. It had received more than 100 proposals for how to use AI to advance climate sustainability and resilience. The idea is simple: Use AI to comb through electronic health records to find patients who have health conditions or take medications that might make them particularly vulnerable to heat. The AI program would warn them when a heat wave is coming and tell patients how to protect themselves so they don't end up in an emergency room. The tool would include security features to protect patient health information. Ideally, the combination of personalized information, real-time heat data, and "actionable messages" will help empower patients to protect themselves. 'We think patients will pay more attention if it is their doctor, their hospital saying, 'Hey, you're at risk and here's what to do,' than if they just see on the news that it will be hot tomorrow,' Biddinger said. Heat kills an estimated 2,300 people every year in the United States, more than any other type of extreme weather event, and results in the hospitalization of thousands of others. Those numbers are expected to increase as climate change turbocharges temperatures, with one estimate calculating that emergency rooms could be inundated with an additional 235,000 visitors each summer. The same report, by the Center for American Progress, estimated that health care costs related to extreme heat would amount to $1 billion annually. Mass General Brigham offers training for doctors and nurses about how climate change could affect patients. Some particularly vulnerable patients with complex or overlapping medical conditions are assigned case workers to discuss those risks. 'Just as we want our patients to control their blood sugar if they have diabetes or not be exposed to poor air quality if they have a respiratory disease, trying to help them protect themselves from heat by communicating when they are at high risk is a health care responsibility, and we are trying to do better,' Biddinger said. But proactively warning patients is a tall order for humans to do on their own. Patients with complicated medical conditions are assigned care managers, who follow patients more closely and will contact them before a heat wave strikes to 'support their health.' But there's not enough staff to reach everyone who has a heart or kidney condition, or those whose homes might not have air conditioning. The AI program is still being developed, but Biddinger said he envisions it having a chatbot function, so patients can ask questions when they receive an alert. 'Our primary care doctors are so overwhelmed these days, and we don't want them to be stuck on hold waiting for their doctor when we can use AI to help them identify cooling centers or public places with air conditioning where they can go to stay cool,' he said. The AI alert system is meant to be a pilot program so the technology can be developed with IBM over the next two years. If it works, it could be shared with other hospitals. 'This is not being developed as a profits-driven product. It's meant to be a service to the community that health centers across the country could use to support their patients, too,' Biddinger said.