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Three University of Maryland undergraduates have been awarded 2023 scholarships by the Barry Goldwater Scholarship and Excellence in Education Foundation, which encourages students to pursue advanced study and research careers in the sciences, engineering and mathematics.

Junior physics and mathematics double-degree student Deven Bowman and junior bioengineering majors Corinne Martin and Neel Panchwagh are among 413 Goldwater Scholars selected from 1,267 nominees nationally. Goldwater Scholars receive one- or two-year scholarships that cover the cost of tuition, fees, books, and room and board up to $7,500 per year.

Over the last 15 years, UMDs nominations yielded 49 scholarshipsthe most in the nation. The Goldwater Foundation has honored 79 UMD winners and five honorable mentions since the program debuted in 1989.

We are immensely proud of all that Deven, Corinne and Neel have accomplished to this point and the bright futures ahead of them. Their success is a win for everyone at the University of Maryland and highlights the commitment of the university to provide opportunities for our students to advance knowledge in their research disciplines and address grand challenges that impact people and communities, both locally and globally, said Robert Infantino, associate dean of undergraduate education in the College of Computer, Mathematical, and Natural Sciences. Infantino has led UMDs Goldwater Scholarship nominating process since 2001.

Deven BowmanBowman started working remotely in a UMD research group the summer before his freshman yearduring the height of the COVID-19 pandemic. He spent the next two years in that group led by Eun-Suk Seo, a professor of physics with a joint appointment in the Institute for Physical Science and Technology, studying the cosmic ray spectrum. This research resulted in a first-author paper published in the journal Advances in Space Research, as well as a co-authored paper and a conference proceeding.

In summer 2021, Bowman joined the lab of Professor Steve Rolston, chair of UMDs Department of Physics and Joint Quantum Institute fellow, where he works on long-distance quantum communication. He presented his work at the Frontiers in Optics+Laser Science conference in 2022.

Over my career, I have interacted with many undergraduates and graduate studentsand it is clear Deven has an exceptionally bright future, Rolston said. He is highly motivated and very self-sufficient in both understanding the science and figuring out technical solutions.

Outside the lab, Bowman spent time tutoring two high school students in math, science and English and advised them on preparing for college for the past three years. He also competed in the William Lowell Putnam Mathematical Competition in 2021.

This summer, hell work at Caltech on the Laser Interferometer Gravitational-Wave Observatory (LIGO), the U.S.-based gravitational wave detector, as part of a National Science Foundation Research Experiences for Undergraduates program.

During his time at UMD, Bowman received the Presidents Scholarship and the Angelo Bardasis Scholarship from the Department of Physics.

After graduation, Bowman plans to pursue a Ph.D. in physics, following in the footsteps of his father, Steven M.S. 80, Ph.D. 86. His mother, Anuradha 86, M.A. 97, studied physics then at UMD.

Their unwavering support for my education has been paramount to my success thus far, Bowman said of his parents.

Corinne MartinMartin participated for the past two summers in the Nathan Schnaper Intern Program in Translational Cancer Research at the University of Maryland School of Medicine, where she investigated the genetic regulation of neuronal axon projection and cancer progression in the brain. In addition, Martin troubleshot the code for a web tool called PegAssist to facilitate the use of a technique called prime editing by the broader biomedical community.

Last fall, Martin joined the lab of Christopher Jewell, Minta Martin Professor of Engineering and MPower Professor in UMDs Fischell Department of Bioengineering, to conduct immune engineering research. Martin recently co-authored a review article on engineering immunometabolism that has been submitted for publication; in May she will present a poster at Immunology2023, the conference of the American Association of Immunologists.

Corinne is already performing at the level of a graduate student, Jewell said. Her creativity, stunning intellect, infectious enthusiasm and kindhearted nature set her apart.

This summer, Martin will intern at Genentech in South San Francisco on the molecular genetics team, which develops, advances and optimizes gene-editing technologies that support the drug development efforts at the company.

At UMD, Martin is a member of the Design Cultures and Creativity program in the Honors College. She also volunteers as a tutor for the Every Child Project and is a taekwondo instructor, holding the rank of third-degree black belt.

After graduation, Martin plans to pursue a Ph.D. in bioengineering and lead an academic research lab focused on immune engineering to advance novel therapeutic strategies for autoimmune diseases, such as Crohns disease.

More than 50 million people worldwide are affected by autoimmune diseases, many of which are incurable and require lifelong treatment. As I know through my own battle with Crohns disease, these therapies often work by suppressing immune cells without distinguishing between healthy and self-reactive cells, impairing healthy immunity and leaving patients vulnerable to infection, Martin said. My career will leverage bioengineering approaches to selectively tune the immune response, improving treatment efficacy while minimizing side effects for patients.

Neel PanchwaghPanchwagh began his research career as a junior in high school when he joined a cancer metabolism lab at Weill Cornell Medicine in New York City, where he helped to characterize the effects of fructose metabolism on colorectal cancer growth and energy regulation.

During his freshman year at UMD, he joined a lab at Johns Hopkins Universitys Lieber Institute for Brain Development and studied mutations in the TCF4 gene, which are commonly seen in patients with the rare neurodevelopmental disorder called Pitt-Hopkins Syndrome. Panchwagh co-authored a paper about this workthat was recently submitted for publication.

Since September 2021, Panchwagh has been conducting pancreatic cancer research at the National Cancer Institute, investigating the role of soluble mesothelin, a protein that plays an active role in both malignant transformation and tumor aggressiveness.

Outside the lab, Panchwagh served as a congressional intern in the U.S. House of Representatives for U.S. Rep. Frank Pallone (NJ-06) and volunteers as a site leader for One Tent Health, providing HIV tests and information about safe health practices to the medically underserved population in D.C. He also is vice president and head delegate for UMDs Model United Nations Team.

He served as a teaching assistant for a new course, Integrative and Quantitative Concepts in Biology, taught by Najib El-Sayed, a professor of cell biology and molecular genetics and director of the Integrated Life Sciences program in the Honors College.

Neel truly stood out, becoming a distinct and unique driving force behind many of the discussions in our preparation sessions, El-Sayed said. He brought an element of initiative, leadership and enthusiasm that is rarely seen in classes where complex material is taught and always thought of applications to real-life situations.

Panchwagh, a Banneker/Key Scholar and member of the Integrated Life Sciences program in the Honors College, was inducted into the national engineering honor society Tau Beta Pi.

After he graduates, he plans to pursue an M.D./Ph.D. in oncology and to contribute to translational research by developing therapeutics that target the molecular mechanisms that govern cancer biology.

Through my experiences, I have seen how physician-scientists use their medical background to tailor research toward patient impact, Panchwagh said. The M.D./Ph.D. route will allow me to gain an understanding of the research process while receiving comprehensive medical training.

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Maryland Today | Three Terps Named 2023 Goldwater Scholars - Maryland Today

Although many digital natives praise ChatGPT, some fear it does more harm than good. News reports about crooks hijacking AI have been making rounds on the internet, increasing unease among skeptics. They even consider ChatGPT a dangerous tool.

AI chatbots arent perfect, but you dont have to avoid them altogether. Heres everything you should know about how crooks abuse ChatGPT and what you can do to stop them.

Most front-end security concerns about ChatGPT stem from speculations and unverified reports. The platform only launched in November 2022, after all. Its natural for new users to have misconceptions about the privacy and security of unfamiliar tools.

According to OpenAIs terms of use, heres how ChatGPT handles the following data:

Rumors say that ChatGPT sells personally identifiable information (PII).

The platform was launched by OpenAI, a reputable AI research lab funded by tech investors like Microsoft and Elon Musk. ChatGPT should only use customer data to provide the services stated in the privacy policy.

Moreover, ChatGPT asks for minimal information. You can create an account with just your name and email address.

OpenAI keeps ChatGPT conversations secure, but it reserves the right to monitor them. AI trainers continuously look for areas of improvement. Since the platform comprises vast yet limited datasets, resolving errors, bugs, and vulnerabilities requires system-wide updates.

However, OpenAI can only monitor convos for research purposes. Distributing or selling them to third parties violates its own terms of use.

According to the BBC, OpenAI trained ChaGPT on 300 billion words. It collects data from public web pages, like social media platforms, business websites, and comment sections. Unless youve gone off the grid and erased your digital footprint, ChatGPT likely has your information.

While ChatGPT isnt inherently dangerous, the platform still presents security risks. Crooks can bypass restrictions to execute various cyberattacks.

Instead of spending hours writing emails, crooks use ChatGPT. Its fast and accurate. Advanced language models (such as GPT-3.5 and GPT-4) can produce hundreds of coherent, convincing phishing emails within minutes. They even adopt unique tones and writing styles.

Since ChatGPT makes it harder to spot hacking attempts, take extra care before answering emails. As a general rule, avoid divulging information. Note that legitimate companies and organizations rarely ask for confidential PII through random emails.

Learn to spot hacking attempts. Although email providers filter spam messages, some crafty ones could fall through the cracks. You should still know what phishing messages look like.

ChatGPT uses an open-source LLM, which anyone can modify. Coders proficient in large language models (LLM) and machine learning often integrate pre-trained AI models into their legacy systems. Training AI on new datasets alters functionality. For instance, ChatGPT becomes a pseudo-fitness expert if you feed it recipes and exercise routines.

Although collaborative and convenient, open-sourcing leaves technologies vulnerable to abuse. Skilled criminals already exploit ChatGPT. They train it on large volumes of stolen data, turning the platform into a personal database for fraud.

Remember: you have no control over how crooks operate. The best approach is to contact the Federal Trade Commission (FTC) once you notice signs of identity theft.

ChatGPT writes usable code snippets in different programming languages. Most samples require minimal modifications to function properly, especially if you structure a concise prompt. You could leverage this feature to develop apps and sites.

Since ChatGPT was trained on billions of datasets, it also knows illicit practices, like developing malware and viruses. OpenAI prohibits chatbots from writing malicious codes. But crooks bypass these restrictions by restructuring prompts and asking precise questions.

The below photo shows that ChatGPT rejects writing code for malicious purposes.

Meanwhile, the below photo shows that ChatGPT will give you harmful information if you phrase your prompts correctly.

Unethical bloggers spin content using ChatGPT. Since the platform runs on advanced LLMs, it can quickly rephrase thousands of words an avoid plagiarism tags.

ChatGPT rephrased the below text in 10 seconds.

Of course, spinning still classifies as plagiarism. Paraphrased AI articles sometimes rank by chance, but Google generally prefers original content from reputable sources. Cheap tricks and SEO hacks cant beat high-quality, evergreen writing.

Also, Google releases multiple core updates annually. It will soon focus on removing lazy, unoriginal AI-generated pieces from SERPs.

AI language models have no biases. They provide answers by analyzing user requests and pulling data from their existing database.

Take ChatGPT as an example. When you send a prompt, it responds based on the datasets OpenAI used for training.

While ChatGPTs content policies block inappropriate requests, users bypass them with jailbreak prompts. They feed it precise, clever instructions. ChatGPT produces the below response if you ask it to portray a psychopathic fictional character.

The good news is OpenAI hasnt lost control of ChatGPT. Its ongoing efforts in tightening restrictions stop ChatGPT from producing unethical responses, regardless of user input. Jailbreaking wont be as easy moving forward.

The rapid growth of new, unfamiliar technologies like ChatGPT creates opportunities for quid pro quo attacks. Theyre social engineering tactics wherein crooks lure victims with fake offers.

Most people havent explored ChatGPT yet. And hackers exploit the confusion by spreading misleading promotions, emails, and announcements.

The most notorious cases involve fake apps. New users dont know they can only access ChatGPT through OpenAI. They unknowingly download spammy programs and extensions.

Most just want app downloads, but others steal personally identifiable information. Crooks infect them with malware and phishing links. For example, in March 2023, a fake ChatGPT Chrome extension stole Facebook credentials from 2,000+ users daily.

To combat quid pro quo attempts, avoid third-party apps. OpenAI never released an authorized mobile app, computer program, or browser extension for ChatGPT. Anything claiming as such is a scam.

ChatGPT is not a threat by itself. The system has vulnerabilities, but it wont compromise your data. Instead of fearing AI technologies, research how crooks incorporate them into social engineering tactics. That way, you can proactively protect yourself.

But if you still have doubts about ChatGPT, try Bing. The new Bing features an AI-powered chatbot that runs on GPT-4, pulls data from the internet, and follows strict security measures. You might find it more suited to your needs.

Original post:
Is ChatGPT Safe? 6 Cybersecurity Risks of OpenAI's Chatbot - MUO - MakeUseOf

A group of women footballers from Inchcape UK teamed-up with former squad members from Englands national team of Lionesses to raise funds for Leukaemia UK.

Women from the AM100 car retail groups Birmingham head office and its Jaguar Land Rover (JLR) retail division headed to the Football Associations (FA) St Georges Park training facility to compete in the annual Copa Del Cure Leukaemia last weekend.

Inchcape UK supported Cure Leukaemia as its charity of the year in 2022, donating 12,000 as a result of its fundraising and support, and its involvement in the annual six-a-side tournament succeeded in adding a further 2,00 to the total.

Employees used the retail groups gifted volunteering day to take part in the event, which saw them play alongside ex-England lioness and Wolves, Liverpool and Everton playerJody Handley on the pitch.

The Inchcape team was made up of: chief transformation officer Katie Martin; SEO and content editor Charlotte Smith; JLR Guilfords sales executive Annabel Mould, sales administrator Jo Philps, corporate sales advisor Makayla McGloin and receptionist Rosie Savage; JLR service advisor Lydia Duckworth; Porsche Bournemouth workshop manager Amy Dilley; and Inchcape UK head of communications Kayleigh Hellewell.

This summer Inchcape colleagues will be fundraising once again as a group take part in the London 2 Paris cycle bike ride.

The gruelling ride will be taking place between June 8 to 12. To sponsor the groups efforts, click here.

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Inchcape women join England Lionesses for charity football tournament - AM

In the past few years, we have witnessed the gradual mainstreaming of large language models and the research of AI applications in the B2B industry. Despite the tremendous technological advancements made, we are still in the early stages of generative AI applications for B2B use cases. So far, the vast majority of generative AI applications have been creating new content based on a set of instructions.

Generative AI

To analyze generative AI, we first need to differentiate between B2C and B2B applications. When we, as consumers, apply generative AI, our goal is oriented towards playing, entertainment, and sharing. In terms of entertainment, quality and accuracy are not always the most important aspects, but rather the ability of the AI model to generate art or music, for example, that can be shared in a Discord channel, even if it is quickly forgotten. There is usually a psychological inclination to believe that more content equals more productivity equals better, so users are often drawn to generative, automatically-created AI tools.

When it comes to B2B applications, the business goals are different. The focus here is primarily on cost-benefit evaluations of time and quality. Either we want to produce higher quality in the same amount of time or the same level of quality in less time.

People mainly use B2B applications in the workplace, where quality is more important. However, the content generated by AI today is mainly for repetitive and low-risk work, which doesn't necessarily require high quality. It has been found that generative AI is unreliable in writing opinions or arguments. When it comes to innovation and collaboration in B2B production environments, large model-generated SEO information may be useful. But if we ask it to write a detailed blog post about a new product for developers, there will be a significant need for human input to ensure accuracy and resonance with the target audience.

Essentially, in brainstorming and early stages, the first wave of generative AI was successful in more substantive writing, but ultimately, the more creativity and domain-specific knowledge required, the more human input is needed.

Even in cases where generative AI is useful for longer blog posts, the prompt must be precise. That is, the author must already have a clear understanding of the substantive concepts that represent their blog post. Then, to get good results, the author must review the AI output, iterate the prompt, and, if necessary, rewrite the entire section.

An example here is using ChatGPT to generate legal documents, where someone familiar with the legal prompt provides all the necessary clauses and ChatGPT uses those clauses to generate a draft. However, these efforts still require a professional lawyer to review it, edit the output, and produce a sample that can be signed. This is also why the cost-benefit evaluation model is disrupted in the B2B context.

Trainable GPT-AI

Gathering information, training AI robots, and improving decision-making are crucial. When it comes to understanding the world and making decisions, humans must be involved. What AI can do is help humans apply more of their brainwaves to valuable and creative work, which means that we can not only spend more time doing important work in a day but also liberate ourselves to engage in the most valuable work. This vision is almost the opposite of ChatGPT's user interface: instead of writing lengthy responses based on a concise prompt, it is better for domain experts to train AI machines to have representative AI robots in each field: GPT-AI.

GPT-AI is a decentralized web3 project developed and created independently using CHATGPT artificial intelligence. The goal of GPT-AI is to enable everyone to have and train their own AI robots, eventually forming a huge scale of AI applications, transactions and rental platforms.

For example, if you are an image processor, designer, nutritionist, fitness coach or a chef, you can teach your AI robot your best skills and knowledge, continuously training it, accumulating data, optimizing its data structure, making it more professional. Such AI will be the most popular presence in all industries of Web3, and you can serve other users by renting or selling AI robots, thus earning commissions for yourself. This is the huge demand value that has been released by the combination of Web3 community and AI, and the value generated after solving the demand is returned to the users who keep training GPT-AI robots.

The decentralized and distributed features of Web3 provide better support for GPT-AI. In the Web3 ecosystem, all data and applications are stored on a decentralized blockchain network, which is public, transparent, and immutable. The distributed data architecture makes it easier for GPT-AI to access and share data while ensuring data security. In addition, the smart contract function of Web3 can also provide GPT-AI with more flexible and efficient transaction and training mechanisms, making the application and sale of GPT-AI more convenient.

GPT-AI is like a blessing, with its collaborative nature and more mature and humanized professional knowledge after training, its more suitable for all the Web3 user groups than the potential threats of automation and replacing humans.

Learn more: https://gpt-ai.io/

Media ContactCompany Name: GPT-AIContact Person: NICKEmail: Send EmailCountry: United StatesWebsite: https://gpt-ai.io/

Press Release Distributed by ABNewswire.comTo view the original version on ABNewswire visit: A16Z: From Information Generative AI to Trainable GPT-AI

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A16Z: From Information Generative AI to Trainable GPT-AI ... - Benzinga

Most runners know that in order to get better, they need to train the major muscle groups that are activated during a run the quads, the glutes, the hamstrings, the calves.

But few think about training the muscles that allow them to breathe specifically the diaphragm, said Kristen Konkol, an associate teaching professor of exercise science at Syracuse University. And that may be putting runners at a disadvantage.

When runners are not efficiently using their diaphragms during exercise, theyre limiting how deeply they can inhale, which in turn limits how much oxygen is absorbed and delivered to their muscles. That ultimately affects how well those muscles function during exercise, said Nicole Hagobian, a running coach and professor of kinesiology at California Polytechnic State University.

While there is not a lot of research on how diaphragmatic (or belly) breathing directly improves running, the experts we spoke with agreed that at least in theory, it can help to increase your oxygen supply during exercise.

Heres what we know about how diaphragmatic breathing can help your run and strategies for doing it properly.

The diaphragm is alarge, dome-shapedmuscle that sits under the lungs and looks like an upside down U. When you inhale, it contracts and flattens, creating a suction-like force (sort of like a syringe) that pulls air into the lungs, said Dr. Tianshi David Wu, an assistant professor of pulmonology at the Baylor College of Medicine.

Other muscles in the chest, neck and shoulders also work to bring in more air by pulling the chest up and expanding the upper and middle regions of the lungs when we inhale, Dr. Wu said.

Some people dont use their diaphragms to their fullest potential, he said, which causes them to over-rely on these other muscles. When this happens, they dont get air deep into the lungs, which limits how much oxygen they can absorb.

Diaphragmatic breathing involves consciously using your diaphragm to take deep breaths by trying to inhale into your stomach, rather than into your chest, according to Dr. Konkol.

One way you can do it is to lie on your back with your hands on your stomach and take deep breaths in through your nose, consciously trying to force the air into your belly. As you do this, the hands on your stomach should rise. As you exhale your hands and belly should recede, Dr. Konkol said.

Dr. Hagobian teaches runners the technique by placing one hand on her belly and one on her chest and then taking quick, shallow breaths to demonstrate how the hand on her chest moves much more than the hand on her belly. She then takes a deep, diaphragmatic breath, pointing out how the hand on her belly is now the one moving more while the hand on her chest is mostly still.

To get the hang of this kind of breathing and to make it more second-nature, Dr. Konkol recommended practicing the technique for 15 to 20 minutes every day or every other day for a couple of weeks. Similar to how we train our legs, we have to train our lungs, she said.

Only a few small studies have directly looked into how diaphragmatic breathing affects exercise. In one study published in 2018, for instance, researchers found that participants with fatigued diaphragms could not exercise as intensely as usual. And a 2004 studyfound that using certain breathing techniques to trainvarious muscles involved in respiration, including the diaphragm, helped cystic fibrosis patients take deeper breaths and work out more intensely on anexercisebike. A 2006 studyfound similar results in healthy adults.

Joe Shayne, a long-distance running coach with TeamWRK, a running organization in Brooklyn, said that it can be difficult to learn an entirely new way of breathing. And pressuring yourself to do it right can cause you to tense up and make breathing deeply harder.

So herecommended practicing diaphragmatic breathing while youre calm and relaxed.

He suggested practicing diaphragmatic breathing first while youre either lying down, sitting or standing, and then trying to incorporate it into walks. Once diaphragmatic breathing starts to feel easy and natural on your walks, you can graduate to using it on longer or more vigorous walks, then to jogs and eventually to more intense runs, Mr. Shayne said.

The technique becomes more challenging to maintain as the length or intensity of the exercise increases, he said.

After you have the technique down, Dr. Hagobian and Mr. Shayne recommended figuring out a breathing pattern that works for you on runs. For example, Mr. Shayne likes to exhale every four steps. Dr. Hagobian, on the other hand, prefers to start by breathing in for three steps and out for two steps, and then breathing in for two steps and out for one step at faster paces.

Having a rhythm helps you focus on your breathing technique and keeps it from becoming erratic, Dr. Hagobian said.

As you get better at taking full diaphragmatic breaths, you should see subtle but noticeable changes to your runs, Dr. Konkol said.

You should require fewer breaths per minute and you may feel more energized all because youre getting better at supplying your body with the necessary oxygen.

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One Way to Improve Your Run? Diaphragmatic Breathing - The New York Times