Daily Archives: July 26, 2023

Artificial intelligence and machine learning have gained popularity in the financial sector. Developing new technologies that improve the capacity to implement ideas at various levels is crucial to market evolution. Technology has also shown to be crucial for various automated solutions, giving certain investors a more effective means to achieve their financial objectives.

Fremont, CA: Developing new technologies that improve the capacity to implement ideas at various levels is crucial to market evolution. These developments include, for instance, the depth of analysis possible with current processing power, the data accessible through various platforms, the geographic and thematic options in the market today, and the information channels accessible globally to get real-time information. When creating a vision of markets and risk, it is important to consider these transformational tendencies.

AI is creating unprecedented opportunities, but challenges also exist.

The terms artificial intelligence and machine learning have gained popularity in the financial sector. The complexity of these technologies presents both advantages and difficulties.

No matter how cutting-edge the technology may appear, understanding what happens inside analytical tools is necessary to prevent the "black box effect" as much as possible when utilizing them to evaluate data. Even though these algorithms let you evaluate a lot of data, the output will only be accurate and effective if the input is carefully chosen. The result may seem successful but is actually just a combination of luck and mistakes canceling out one another. If you are careful, you can recognize these results.

To aid in creating investment ideas and implementing complex strategies, cutting-edge algorithms, and software are constantly being developed. These are typically created within institutional investment organizations, and applications span from automated execution (such as systematic investing) to simulations. Many funds are moving toward a combination of automated software and minimal human involvement.

Technology Encourages More Market Players

Technology has also shown to be crucial for various automated solutions, giving certain investors a more effective means to achieve their financial objectives. For instance, automated solutions provide a low-cost alternative for less experienced investors to build portfolios that suit their goals and risk tolerance.

Using this type of software, investors can target the mix of assets they want to contain based on particular factors they select, such as regional exposure, volatility, and tax consequences. To satisfy the fundamental requirements of this level of investor, automated software can be a good answer.

The availability of investing platforms and how markets function is further examples of technological innovation. The availability of ultra-cost-effective electronic brokers has frequently been a defense against price distortions brought on by increased participation by less "sophisticated" investors.

Industry Must Concentrate on Smart Data

Devices like smartphones, which have become essential to daily life, are examples of technological advancements in the communications sector that have increased access to information both globally and in real-time. We've reached a point where the problem is no longer gaining access to data but rather extracting useful insights from a sea of data due to a rapidly evolving communication industry.

Instead of large or alternative data, smart data should be emphasized. In other words, you value greater analysis of data you already know has a connection to the conclusion you want more than you value aggregating data that might be unrelated just because the machine can handle it.

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The Evolution of Financial Markets Through Technology and ... - CIOReview

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Molecular features driving cellular complexity of human brain evolution - Nature.com

image:Evolutionary selection can tailor host antimicrobial peptides (chains) to control specific microbiome bacteria. As a defense system common across plants and animals, variations in the repertoire of antimicrobial peptides are likely important as key risk factors for preventing infection by common ecological microbes. view more

Credit: Diego Galagovsky. In Hanson et al., DOI: 10.1126/science.adg5725

Animals and humans coexist with a vast array of microorganisms known as the microbiome, forming an intricate relationship that can range from mutually beneficial to pathogenic. To safeguard against harmful pathogens and maintain the presence of beneficial microorganisms, animals have evolved various defenses.

One of those are the small antimicrobial peptides (AMPs); small peptides that combating invading microbes. AMPs are crucial immune effectors in both plants and animals, fighting against potential infections while also influencing the composition of the host's microbiome.

While previous studies have shown that AMPs evolve rapidly, little was known about the driving forces behind this evolution. For example, different animals have different repertoires of AMP genes, while lacking others found elsewhere. Understanding the evolutionary logic behind this is important not just as an ecological study, but also for the development of innovative strategies to prevent infections by targeting specific microbial threats.

Now, a study led by three scientists at EPFL uncovers the selective pressures driving the evolution of AMPs and how they control bacteria in the hosts microbiome. The work was carried out by Bruno Lemaitres group at EPFLs School of Life Sciences, led by Mark Hanson (now at the University of Exeter) and Lena Grollmus. It is published in Science.

The researchers focused on Diptericin (Dpt), a small antimicrobial peptide that mainly defends flies against Gram-negative bacteria, disrupting their bacterial membrane. Looking at the fruit fly Drosophila, the team examined how Diptericins function and evolve in response to their microbial environment.

The team discovered that different types of Diptericins, known as DptA and DptB, play specific roles in the fruit fly's defense against different bacteria.

By screening Drosophila mutants lacking specific AMP gene families, the researchers found that DptA is effective against Providencia rettgeri, a natural pathogen of Drosophila. Meanwhile, DptB helped the host resist infection by multiple species of Acetobacter, some of which reside in Drosophilas gut and help its physiology and development. In contrast, DptA played no significant role against Acetobacter and DptB played no significant role against Providencia.

Analyzing the evolutionary history of the Diptericin genes, the scientists found two instances of convergent evolution that lead to DptB-like genes in fruit flies that feed on fruit, an environment associated with high levels of Acetobacter. This suggests that DptB evolved to control Acetobacter in the ancestral fruit-feeding Drosophila.

The study also found that fruit flies with different ecological niches, such as mushroom-feeding or being plant-parasites, had either lost the DptB gene or both DptA and DptB genes, corresponding to an absence of Acetobacter or both Providencia and Acetobacter, respectively.

Meanwhile, variations in DptA and DptB sequences were found to predict the hosts resistance to infection by these bacteria throughout the Drosophila genus. This highlights the evolutionary adaptation of the fly's immune repertoire to combat specific microbes prevalent in its surroundings.

To validate their findings, the researchers infected various Drosophila species with different variants of DptA and DptB genes. The results were striking: the resistance of the host to infection by P. rettgeri and Acetobacter was readily predicted just by the presence and polymorphism of the DptA or DptB genes, even across fly species separated by almost 50 million years of evolution.

The work sheds light on the dynamics that shape the hosts immune system and how the hosts defenses adapt to combat specific pathogens while fostering beneficial microorganisms. The findings propose a new model of AMP-microbiome evolution, incorporating gene duplication, sequence convergence, and gene loss, all guided by the host's ecology and microbiome. This model explains why different species possess specific repertoires of AMPs, offering insights into how host immune systems rapidly adapt to the suite of microbes associated with a new ecological niche.

The way our bodies fight infections is very complex, says Mark Hanson. But this sort of research helps us to view our immune system in a new light. It helps us ask: why is our immune system made the way it is? That can help us learn how to fight infections, including ones that resist antibiotics.

Reference

M.A. Hanson, L. Grollmus, B. Lemaitre. Ecology-relevant bacteria drive the evolution of host antimicrobial peptides in Drosophila. Science 20 July 2023. DOI: 10.1126/science.adg5725

Ecology-relevant bacteria drive the evolution of host antimicrobial peptides in Drosophila

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How the microbiome drives the evolution of immune defenses - EurekAlert

PEARL RIVER, N.Y., July 24, 2023 /PRNewswire/ -- Evolution Health Group (EHG), a full-service, global healthcare communications agency, is pleased to announce the appointment of Todd Courcy as Executive Vice President, Client Integration.

"The new role of Executive Vice President, Client Integration is a reflection of our need to continually offer our clients a superior partnership experience enabling them to better leverage the broad offerings of Evolution Health Group's divisions. We are confident that Todd will be a positive contributor to the significant growth and continuous improvement of our businesses as we maintain our focus on innovation in the healthcare marketing and communications space" said Carolyn Vogelesang Harts, Mark Edfort and Andrea Lanzetta, Managing Partners.

Todd is a proven leader who has a track-record of developing high-performance teams. He brings over 20 years of experience working in pharmaceutical marketing and medical affairs and has held numerous senior level positions, including Agency Head of Physicians World and Clinical Bridges, Agency Head of Alligent and most recently as the Corporate Strategy Lead for the Envision Pharma Group where he looked at integrated commercial growth strategies across service and technology offerings.

Evolution Health Group is headquartered in Pearl River, NY, with offices in Philadelphia, PA; Montreal, Canada; and London, England.

About Evolution Health Group, LLC

Learn how Evolution Health Group can help your brand be more successful. Please contact:

Carolyn Vogelesang Harts Managing Partner Evolution Health Group One Blue Hill Plaza, 8thFloor Pearl River, NY10965 [emailprotected] http://www.evolutionhealthgroup.com http://www.blulava.com http://www.evolutionmedcom.com

SOURCE Evolution Health Group, LLC

Originally posted here:

Todd Courcy, appointed Executive Vice President, Client Integration ... - PR Newswire

July 24, 2023 by Steve Conway, Sr Analyst, Intersect 360 Research

(GrandeDuc/Shutterstock)

Editors Note:In the wake of rising concerns about AIs potential impact after the introduction of ChatGPT and other generative AI applications, HPCwire asked Steve Conway, senior analyst at Intersect360 Research, to interview Paul Muzio, formervice president for HPC at Network Computing Systems, Inc.,and current chair of the HPC User Forum, an organization Conway helped to create. At a recent User Forum meeting, Muzio gave a well-received talk chronicling the history of human concerns about artificial intelligence and questioning whether intelligence is limited to humans. A link to Muzios presentation appears at the end of the interview.

HPCwire:Paul, people have been concerned for a long time about machines with super-human intelligence taking control of us and maybe even deciding to eliminate humanity. Your talk provided some examples from popular culture. Can you mention some of those?

Muzio:As I mention in my presentation, in my opinion the most profound prognostication of machines with super-human intelligence was presented in the 1956 movieForbidden Planet. The movie foretells a global or planetary version of Google, the metaverse, machine-to-brain and brain-to-machine communication and what might go wrong. I also mention R.U.R., a play written in 1921 by Karel and Josef Capek. The Capeks are the inventors of the word robot. There is one line in that play that grabbed me, from a technical point of view, the whole of childhood is a sheer absurdity. So much time lost. This concept is also addressed inForbidden Planet. There are many other writings in science fiction that I did not mention, such asI, Robotby Earl and Otto Binder, the moviesEx Machina,2001: A Space Odyssey, and many others.

HPCwire:The impressive capabilities of generative AI have amplified concerns about where AI might be headed. In your opinion, how concerned should we be? You pointed out several times in your talk that unlike humans, computers retain what theyve learned forever, without the need to educate the next generation.

Muzio: It is easy to make mistakes; it is hard to guarantee correctness. But even correctness does not preclude unintentional or adverse consequences. In The Complete Robot, Asimov discusses the situation where there is an iterative development of algorithms and that after a number of iterations, no human can understand the nth algorithm. This is illustrated to a degree by the development of AlphaGo by DeepMinds. AlphaGo was played against AlphaGo and in the end developed not only superhuman capability but also evolved to an algorithmic complexity beyond what humans could have developed. Recent experiments with developmental versions of GPT-4 have also resulted in some unexpected results. In fact, OpenAI has had to dumb down GPT-4 prior to its general availability.

GPT, as a released product, does not in and of itself have memory, i.e., it does not have operational access to a global planetary library which contains all knowledge. But we are building, at the present, huge decentralized libraries: libraries of human history and thought, libraries of biology, libraries of evolutionary trends, libraries of the universe. Of course, even data collections down to who we communicate with, what our preferences and dislikes are, and our everyday interactions. We strive to protect, perpetuate, and share those libraries. We are, with current computing technology, acquiring and preserving exabytes and exabytes of data. And, there is more sharing of that information than we are aware of. Right now, generative AI (G-AI) tools have access to some data for training purposes. What happens in the future when and if future G-AI tools gain access to all these decentralized libraries?

By the way, there are those who say that you have to show AI millions of pictures for it to be able to recognize a cat, whereas a child can quickly learn to recognize a cat. I argue that argument fails to acknowledge that the child has also seen millions of pictures of diverse things including the cat. I think that when G-AI has access to all those libraries we are building, it too will quickly learn.

HPCwire: Generative AI is still an early development. Its generally still within the realm of so-called path problems, where a human provides the machine with a desired outcome and the machine obeys the human command by following a step-by-step path to pursue that outcome. At some future point machines should be able to handle insight problems, where they pursue and sometimes achieve innovations without prescribed outcomes. That has great potential benefits for humanity but is that also a cause for concern?

Muzio:I recently watched apresentation by Sebastien Bubeck, a very brilliant researcher at Microsoft.I think he clearly shows that an experimental version of GPT-4 has gone beyond the path problem. Yes, he concludes that GPT-4 is not capable of planning, but has many attributes of intelligence. His is a really great presentation and analysis of where we are today. Watch it.

As I point out in my presentation, it took 5,000 years to go from the invention of the wheel to the building of an automobile. The world of computers and AI is only a few decades old. Where will we be a few decades from now?Forbidden Planetand other science fiction books/movies tend to present a bleaker future and maybe science fiction may actually foretell the future. I would add the following: it is human hubris to assume that we are the pinnacle of evolution.

HPCwire:On a practical level this whole topic might revolve around the human-machine interface, or HMI, and the possibility that at some point computers or other machines might sever that connection as something no longer needed by them or even annoying. Do you see that as a possibility?

Muzio:Certainly this is so postulated inR.U.R.and the movieEx Machina. I would expect it to be more evolutionary. We become more dependent on intelligent systems, and we become less capable of surviving in the world. I currently live out in Montauk, New York, which was long a quiet fishing community (the nearest traffic light to my house is 17 miles away). It is now inundated in the summer by Gen-Zers. Unfortunately, no one has taught Gen-Zers that when you walk on a country street with no sidewalks that you should walk facing traffic. I have a hunch that GPT-4 would know. In my presentation, I cite two books that address biological evolution with a crossover to AI. I highly recommend them.

HPCwire:AI is already being used to help design computer chips. You mentioned in your talk that this process could get out of human hands if the process becomes self-sustaining and the chips design their even-smarter successors. Should chipmakers be taking preventive measures?

Muzio:In my presentation, I mention that the chipmakers will not like what I say, but I believe the only preventative measure is to limit the further development of advanced chips. I guess I am not alone in this as the U.S. Government is restricting the export to the PRC of the technology to build advanced chips.

HPCwire:So far, weve been talking about two forms of intelligence, human and machine, but in your talk you referred to scientific evidence that humans arent the only natural creatures with intelligence. Can you say something about that?

Muzio:If you grew up with a pet or with animals, you recognized that they could think, plan, and had feelings, i.e., they had intelligence. Two millennia ago, the ancient Romans recognized that octopodes were uniquely intelligent. Some birds are able to count. Researchers have found that plants can recognize insect threats and communicate. In my presentation, I mentioned two books, both published in 2022,An Immense Worldby Ed Yong andWays of Being: Animals, Plants, Machines-The Search for Planetary Intelligenceby James Bridle. Both books have extensive citations to refereed research publications. Both books give you a different perspective on intelligence.

HPCwire:With AI, as with most transformational technologies, there can be a big difference between whatcanbe done and whatshouldbe done. In 2016, Germany became the first country to pass a national law governing automated vehicles. Ethicists and even religious leaders were part of the group that developed this legislation. Is it time to require that training in ethics be added to AI-related university curricula?

Muzio:Ethics is important. Unfortunately, most ethics courses are poorly taught and not remembered. But yes, ethics should be taught in AI-related university curricula, and I would recommend that required reading includeR.U.R., AsimovsThe Complete Robot, the two books I cited above, and a screening ofForbidden Planetand maybe my presentation if teachers think its worthwhile enough.

HPCwire:A final question. The definitions of life Ive seen are pretty broad. Do you think AI machines at some point may qualify as living things? Does that matter?

Muzio:The short answer to the first final question is, yes. The answer to the second final question is more difficult. InForbidden Planet, the goal was to build an eternal machine into which the Krell could intellectually live forever. If that could be achieved, a lot of people would be very happy. If the goal was to dispense with people altogether, that would also matter. And, if in x-billion years, the universe fades into nothing, it doesnt matter at all.

Presentation link (short 20-minute video)

This article first appeared on HPCwire.

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Unraveling the Fiction and Reality of AI's Evolution: An Interview with ... - EnterpriseAI

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From Paper to Digital: Exploring the Evolution of Pay Stubs in ... - State-Journal.com

Just 10 years ago, artificial intelligence was a thing of science fiction movies and dystopian novels yet now AI is the hottest topic, with machine learning algorithms affecting nearly all aspects of our lives. One of the more spectacular breakthroughs achieved with AI are the strides in text-to-speech technology, allowing us to create emotionally-filled human voices we hear today. How did we even get here?

The first semi-successful attempt at synthesizing human speech was done with the Voder machine in 1939 developed by Bell Telephone Laboratories. It was a groundbreaking invention for its time, which recreated the acoustic properties of human speech using a series of keys and a foot pedal. The operator could control the pitch and inflection with the pedal and manipulate the keys to generate sounds corresponding to different vowels, consonants, and even hisses all combined to produce human-like speech.

Operating the Voder was no easy task it required lots of skill and practice, with operators needing a year of training at minimum to be able to generate anything resembling human speech. All aspects of the output were manually controlled and required finesse to adjust in harmony something that our vocal folds do effortlessly.

Today, we have access to simple-to-use and very efficientspeech-to-textand text-to-speech technology with many popular apps like CapCut but recreating human voices wasnt always so easy. Novelty computer-based text-to-speech systems appeared in the late 20th century, but in the beginning they only read text in monotone, very mechanical voice.

More computing power and more compact devices created promising opportunities for text-to-speech technology. More refined algorithms were starting to appear that could better mimic human voice features, but they still lacked rhythm and emotions. A technique called concatenative synthesis was developed, which used pre-recorded segments of speech to form complete sentences. The fluency was much better than early systems, but they still lacked stress and emotion, and recording and programming the sound bases was very costly.

With these types of systems, the more different sound samples you have, the higher quality speech youre able to produce. For a smooth and natural voice, massive amounts of sound combinations would be necessary, with each one having to be recorded separately. These limitations are now being ascended with the use of AI technology and deep learning.

Everything changed when artificial intelligence reached a market-ready state. Unlike traditional algorithms, deep learning systems can access much larger quantities of data with ease and generate increasingly natural-sounding speech as they learn the right patterns.

End-to-end text-to-speech systems began to appear around 2016, which could easily transform written word to speech in a matter of minutes and capture subtleties like stress, rhythm, and intonation.

Artificial intelligence can be trained on specific voice samples to mimic a specific persons voice. This brought previously unimaginable challenges into the text-to-speech world are AI voices abusing peoples privacy by mimicking their voices? This technology is still new and mostly unregulated, and well have to see how world governments deal with this issue.

AI is revolutionizing much more than text-to-speech technology.Online photo editorslike CapCut now offer a range of AI-powered tools that make graphic design simple and easy, allowing you to create all types of visual content in masterwork quality. CapCuts AI algorithms can easily color correct your photos to create compelling social media posts, remove an unwanted object or person in the background with perfect accuracy, or even transform the whole picture into another vibrant style, like manga or 3D.

AI and progressing automation are drastically changing our lives at an incredible pace. Many jobs that once seemed like safe choices can now be automated even creating art and new jobs are being created that take advantage of dexterously navigating this unsteady environment. Artificial intelligence is here to stay, and well have to adapt if we want to thrive in this new world. Embrace learning and always stay updated on industry trends to keep up.

Understanding what AI is and what it isnt is very important. You dont necessarily need to be an AI expert, but having a basic understanding of what AI can and cant do (and how it might impact you personally) will help you better navigate the future. Its also now more important than ever to learn how to effectively protect your data, keeping as much privacy as possible in a world where data collection is unavoidable.

Deep learning and AI algorithms have revolutionized not only text-to-speech technology making it almost indistinguishable from human speech but also many other areas of our lives. Remember to actively engage with AI to better understand the technology that will shape the upcoming world, and vocally advocate for ethical AI use.

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AI Voices: The Evolution of Text-to-Speech Technology - Auralcrave

Steve Miller has curated the upcoming box set J50: The Evolution of The Joker, a lavish 50th anniversary celebration of the Steve Miller Bands classic 1973 album that contained the signature, chart-topping title track.

Set for September 15 release via Sailor/Capitol/UMe, it will be available as both a 3LP + 7 box and 2CD set, in which the original album tracks are chronologically placed alongside 27 previously unreleased recordings from Millers personal archive. These include songwriting tapes made by Miller on his TEAC 4-track in hotel rooms on the road and at live performances, as well as studio outtakes and rehearsals. The previously unissued Lidi and Travelin are now available as tasters for the September release.

The set represents a continuous listening experience with narration by the great guitarist and frontman, telling the story and explaining the evolution of each track on the album. Both formats contain liner notes by Miller and writer Anthony DeCurtis, and the box will also feature a reproduction of a vintage iron-on of the celebrated The Joker image and a lithograph.

Both The Joker and its title track single were released in October 1973, with the album climbing to No.2 on Billboard (in a 38-week run on that chart) and No.1 on the Cash Box survey.The unforgettable lead song The Joker topped the Billboard Hot 100 in January 1974 and was also a substantial hit in Canada and Australia.

The track reached a new generation when it was prominently featured in a Levis commercial in 1990, taking it to No.1 in the UK, when it set a new record for the longest gap between chart-toppers on either side of the Atlantic. It then became a major pan-European hit, also reaching No.1 in the Netherlands and No.2 on the Eurochart Hot 100 of the time.

Pre-order J50: The Evolution of The Joker, which is released on September 15.

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Steve Miller Curates Lavish 50th Anniversary 'Evolution Of The ... - uDiscover Music

The Evolution of Aircraft Computers: From Analog to Digital Systems

The evolution of aircraft computers has been a remarkable journey, marked by significant technological advancements that have revolutionized the aviation industry. From the rudimentary analog systems of the early 20th century to the sophisticated digital systems of today, the transformation has been nothing short of extraordinary.

In the early days of aviation, aircraft were primarily controlled by mechanical systems. Pilots relied on their skills and instincts, along with a few basic instruments, to navigate the skies. However, as aircraft became larger and more complex, the need for more advanced control systems became apparent. This led to the development of analog computers, which were used to automate certain tasks and improve the accuracy of flight operations.

Analog computers, which were first introduced in the 1930s, used physical quantities such as voltage and current to represent information. They were designed to solve complex mathematical equations, which made them ideal for tasks such as calculating flight paths and controlling aircraft systems. However, they were also bulky, unreliable, and difficult to maintain. Moreover, they lacked the flexibility and scalability of digital systems, which limited their potential for future development.

The advent of digital computers in the 1960s marked a turning point in the evolution of aircraft computers. Unlike their analog counterparts, digital computers used binary code to represent information, which made them more accurate and reliable. They were also smaller, more efficient, and easier to maintain, which made them a more practical choice for aircraft systems.

The transition from analog to digital systems was not without its challenges. The complexity of digital systems required a new level of expertise, which was not readily available at the time. Moreover, the cost of implementing digital systems was prohibitive for many airlines. However, the benefits of digital technology were too significant to ignore, and the aviation industry gradually embraced the digital revolution.

Today, digital systems are at the heart of modern aircraft. They control everything from navigation and communication to engine performance and fuel efficiency. They also play a crucial role in safety, with advanced systems such as autopilot and collision avoidance systems helping to reduce the risk of accidents.

The evolution of aircraft computers has also paved the way for the development of new technologies such as artificial intelligence (AI) and machine learning. These technologies have the potential to further enhance the capabilities of aircraft systems, making flights safer, more efficient, and more comfortable for passengers.

In conclusion, the evolution of aircraft computers from analog to digital systems has been a game-changer for the aviation industry. It has not only improved the performance and safety of aircraft but also opened up new possibilities for future development. As technology continues to evolve, we can expect to see even more exciting advancements in the field of aviation.

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The Evolution of Aircraft Computers: From Analog to Digital Systems - Fagen wasanni