Page 226«..1020..225226227228..240250..»

Belhaven University joins AWS Academy to equip students with in-demand cloud computing skills – Northeast Mississippi Daily Journal

State Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington Washington D.C. West Virginia Wisconsin Wyoming Puerto Rico US Virgin Islands Armed Forces Americas Armed Forces Pacific Armed Forces Europe Northern Mariana Islands Marshall Islands American Samoa Federated States of Micronesia Guam Palau Alberta, Canada British Columbia, Canada Manitoba, Canada New Brunswick, Canada Newfoundland, Canada Nova Scotia, Canada Northwest Territories, Canada Nunavut, Canada Ontario, Canada Prince Edward Island, Canada Quebec, Canada Saskatchewan, Canada Yukon Territory, Canada

Zip Code

Country United States of America US Virgin Islands United States Minor Outlying Islands Canada Mexico, United Mexican States Bahamas, Commonwealth of the Cuba, Republic of Dominican Republic Haiti, Republic of Jamaica Afghanistan Albania, People's Socialist Republic of Algeria, People's Democratic Republic of American Samoa Andorra, Principality of Angola, Republic of Anguilla Antarctica (the territory South of 60 deg S) Antigua and Barbuda Argentina, Argentine Republic Armenia Aruba Australia, Commonwealth of Austria, Republic of Azerbaijan, Republic of Bahrain, Kingdom of Bangladesh, People's Republic of Barbados Belarus Belgium, Kingdom of Belize Benin, People's Republic of Bermuda Bhutan, Kingdom of Bolivia, Republic of Bosnia and Herzegovina Botswana, Republic of Bouvet Island (Bouvetoya) Brazil, Federative Republic of British Indian Ocean Territory (Chagos Archipelago) British Virgin Islands Brunei Darussalam Bulgaria, People's Republic of Burkina Faso Burundi, Republic of Cambodia, Kingdom of Cameroon, United Republic of Cape Verde, Republic of Cayman Islands Central African Republic Chad, Republic of Chile, Republic of China, People's Republic of Christmas Island Cocos (Keeling) Islands Colombia, Republic of Comoros, Union of the Congo, Democratic Republic of Congo, People's Republic of Cook Islands Costa Rica, Republic of Cote D'Ivoire, Ivory Coast, Republic of the Cyprus, Republic of Czech Republic Denmark, Kingdom of Djibouti, Republic of Dominica, Commonwealth of Ecuador, Republic of Egypt, Arab Republic of El Salvador, Republic of Equatorial Guinea, Republic of Eritrea Estonia Ethiopia Faeroe Islands Falkland Islands (Malvinas) Fiji, Republic of the Fiji Islands Finland, Republic of France, French Republic French Guiana French Polynesia French Southern Territories Gabon, Gabonese Republic Gambia, Republic of the Georgia Germany Ghana, Republic of Gibraltar Greece, Hellenic Republic Greenland Grenada Guadaloupe Guam Guatemala, Republic of Guinea, Revolutionary People's Rep'c of Guinea-Bissau, Republic of Guyana, Republic of Heard and McDonald Islands Holy See (Vatican City State) Honduras, Republic of Hong Kong, Special Administrative Region of China Hrvatska (Croatia) Hungary, Hungarian People's Republic Iceland, Republic of India, Republic of Indonesia, Republic of Iran, Islamic Republic of Iraq, Republic of Ireland Israel, State of Italy, Italian Republic Japan Jordan, Hashemite Kingdom of Kazakhstan, Republic of Kenya, Republic of Kiribati, Republic of Korea, Democratic People's Republic of Korea, Republic of Kuwait, State of Kyrgyz Republic Lao People's Democratic Republic Latvia Lebanon, Lebanese Republic Lesotho, Kingdom of Liberia, Republic of Libyan Arab Jamahiriya Liechtenstein, Principality of Lithuania Luxembourg, Grand Duchy of Macao, Special Administrative Region of China Macedonia, the former Yugoslav Republic of Madagascar, Republic of Malawi, Republic of Malaysia Maldives, Republic of Mali, Republic of Malta, Republic of Marshall Islands Martinique Mauritania, Islamic Republic of Mauritius Mayotte Micronesia, Federated States of Moldova, Republic of Monaco, Principality of Mongolia, Mongolian People's Republic Montserrat Morocco, Kingdom of Mozambique, People's Republic of Myanmar Namibia Nauru, Republic of Nepal, Kingdom of Netherlands Antilles Netherlands, Kingdom of the New Caledonia New Zealand Nicaragua, Republic of Niger, Republic of the Nigeria, Federal Republic of Niue, Republic of Norfolk Island Northern Mariana Islands Norway, Kingdom of Oman, Sultanate of Pakistan, Islamic Republic of Palau Palestinian Territory, Occupied Panama, Republic of Papua New Guinea Paraguay, Republic of Peru, Republic of Philippines, Republic of the Pitcairn Island Poland, Polish People's Republic Portugal, Portuguese Republic Puerto Rico Qatar, State of Reunion Romania, Socialist Republic of Russian Federation Rwanda, Rwandese Republic Samoa, Independent State of San Marino, Republic of Sao Tome and Principe, Democratic Republic of Saudi Arabia, Kingdom of Senegal, Republic of Serbia and Montenegro Seychelles, Republic of Sierra Leone, Republic of Singapore, Republic of Slovakia (Slovak Republic) Slovenia Solomon Islands Somalia, Somali Republic South Africa, Republic of South Georgia and the South Sandwich Islands Spain, Spanish State Sri Lanka, Democratic Socialist Republic of St. Helena St. Kitts and Nevis St. Lucia St. Pierre and Miquelon St. Vincent and the Grenadines Sudan, Democratic Republic of the Suriname, Republic of Svalbard & Jan Mayen Islands Swaziland, Kingdom of Sweden, Kingdom of Switzerland, Swiss Confederation Syrian Arab Republic Taiwan, Province of China Tajikistan Tanzania, United Republic of Thailand, Kingdom of Timor-Leste, Democratic Republic of Togo, Togolese Republic Tokelau (Tokelau Islands) Tonga, Kingdom of Trinidad and Tobago, Republic of Tunisia, Republic of Turkey, Republic of Turkmenistan Turks and Caicos Islands Tuvalu Uganda, Republic of Ukraine United Arab Emirates United Kingdom of Great Britain & N. Ireland Uruguay, Eastern Republic of Uzbekistan Vanuatu Venezuela, Bolivarian Republic of Viet Nam, Socialist Republic of Wallis and Futuna Islands Western Sahara Yemen Zambia, Republic of Zimbabwe

Read the original:

Belhaven University joins AWS Academy to equip students with in-demand cloud computing skills - Northeast Mississippi Daily Journal

Read More..

UF engineering professor elected to The American Academy of Arts and Sciences – University of Florida

The American Academy of Arts and Sciences has elected University of Florida computer science professor and National Medal of Technology and Innovation (NMTI) laureate Juan E. Gilbert, Ph.D. as a 2024 Academy member. The Academy, founded in 1780 by John Adams and John Hancock, elects leaders from all disciplines that work together to solve the problems that our nation faces and believes in cultivating a membership of innovators across all fields of arts and sciences.

We honor these artists, scholars, scientists, and leaders in the public, non-profit, and private sectors for their accomplishments and for the curiosity, creativity, and courage required to reach new heights, said David Oxtoby, president of the Academy. We invite these exceptional individuals to join in the Academys work to address serious challenges and advance the common good.

Gilbert joins a long list of influential members such as Benjamin Franklin, Alexander Hamilton, George Washington, John F. Kennedy, Martin Luther King, Jr., and more. His work toward pioneering a voting system that is accessible, reliable, and secure for everyone falls in line with these leaders' ideals.

At the University of Florida, we want the brightest minds tackling the hardest challenges, and thats exactly what Dr. Gilbert does, said UF President Ben Sasse. We are proud of his work and thrilled to celebrate this recognition.

Gilberts research in innovative voting technologies embodies some of the current focuses of the Academy, which are democracy, justice, science, and technology. Gilbert is joined by Tim Cook, CEO of Apple, Inc., George Clooney, and 247 talented leaders and innovators as a 2024 elected member.

We're excited to continue recognizing Dr. Gilbert's achievements as he persists in tackling the challenges of safeguarding democracy, said Forrest Masters, Ph.D., interim dean of UF's Herbert Wertheim College of Engineering. His enduring commitment in this field is forging the way forward and has shown that others are acknowledging the results his research is generating, particularly in a societal climate where transparency is crucial.

Gilbert and his Ph.D. students in his Computing for Social Good lab work daily on providing solutions to issues faced by the American public. These solutions range from innovative and accessible voting technologies with Prime III open-source voting software to deescalating tensions in routine traffic stops through video chat with Virtual Traffic Stop.

I am truly honored and humbled by this tremendous recognition of the work we do to change the world. The Academy recognizes the top people in our field, and to be named as one of them is such a huge honor, said Gilbert, who is also the Andrew Banks Family Preeminence Endowed Professor & Chair of the Department of Computer & Information Science & Engineering at the Herbert Wertheim College of Engineering. The work that is done in the Academy for our nation has had impact for centuries. I am so grateful for this recognition, and I am looking forward to contributing to the Academy.

Drew Brown April 25, 2024

Read more:

UF engineering professor elected to The American Academy of Arts and Sciences - University of Florida

Read More..

Does AI Know What an Apple Is? She Aims to Find Out. – Quanta Magazine

What does understanding or meaning mean, empirically? What, specifically, do you look for?

When I was starting my research program at Brown, we decided that meaning involves concepts in some way. I realize this is a theoretical commitment that not everyone makes, but it seems intuitive. If you use the word apple to mean apple, you need the concept of an apple. That has to be a thing, whether or not you use the word to refer to it. Thats what it means to have meaning: there needs to be the concept, something youre verbalizing.

I want to find concepts in the model. I want something that I can grab within the neural network, evidence that there is a thing that represents apple internally, that allows it to be consistently referred to by the same word. Because there does seem to be this internal structure thats not random and arbitrary. You can find these little nuggets of well-defined function that reliably do something.

Ive been focusing on characterizing this internal structure. What form does it have? It can be some subset of the weights within the neural network, or some kind of linear algebraic operation over those weights, some kind of geometric abstraction. But it has to play a causal role [in the models behavior]: Its connected to these inputs but not those, and these outputs and not those.

That feels like something you could start to call meaning. Its about figuring out how to find this structure and establish relationships, so that once we get it all in place, then we can apply it to questions like Does it know what apple means?

Yes, one result involves when a language model retrieves a piece of information. If you ask the model, What is the capital of France, it needs to say Paris, and What is the capital of Poland should return Warsaw. It very readily could just memorize all these answers, and they could be scattered all around [within the model] theres no real reason it needs to have a connection between those things.

Instead, we found a small place in the model where it basically boils that connection down into one little vector. If you add it to What is the capital of France, it will retrieve Paris; and that same vector, if you ask What is the capital of Poland, will retrieve Warsaw. Its like this systematic retrieve-capital-city vector.

Thats a really exciting finding because it seems like [the model is] boiling down these little concepts and then applying general algorithms over them. And even though were looking at these really [simple] questions, its about finding evidence of these raw ingredients that the model is using. In this case, it would be easier to get away with memorizing in many ways, thats what these networks are designed to do. Instead, it breaks [information] down into pieces and reasons about it. And we hope that as we come up with better experimental designs, we might find something similar for more complicated kinds of concepts.

Read more here:

Does AI Know What an Apple Is? She Aims to Find Out. - Quanta Magazine

Read More..

ACM HogHack 2024 Results | University of Arkansas – University of Arkansas Newswire

Photo Submitted

Students attending the opening ceremony.

The U of A Association of Computing Machinery hosted this year's HogHack, attracting 150 participants for the overnight contest on April 12 and 13. Teams of students competed for prizes and accolades by developing pieces of computer software or hardware.

The event was also sponsored by J.B. Hunt, SupplyPike, ArcBest, the McMillon Innovation Studio, Garmin and Netsmart and had over a dozen industry professionals, alumni and professors as judges.

Jack Norris, an electrical engineering and computer science student and ACM president, said, "This year, we brought in MLH (Major League Hacking) as a partner for our event. They are a nationwide non-profit that helps orchestrate hackathons at top universities throughout the nation. We decided to work with them in order to lay the groundwork for HogHacks to become one of the biggest hackathons in the region."

Norris said, "We want to give UARK students an opportunity to network with the students in the region and build awesome tech with them. While some classes at UARK give the opportunity for something similar, none do it on this scale. In addition, we provide free food and shirts to students so that they can focus simply on building something they're proud of!"

The winners of the Hoghack are the GymQuest project group, which consists of Amadeo Costaldi, Alex Prill, Charles Hinrichs, Hunter Fountain II, Benjamin Kensington and Alfonso Flores. GymQuest is an Android native app based in Kotlin using Firebase cloud services and Python API's to call Macro and Claude3. It provides the user with a custom workout routine and uses an AI storyteller to create a custom narrative experience with rewards based on "quest" completion and RPG-like stat growth.

The second-place winner was the EZ Reps group, consisting of Benjamin Edens, Caleb Smith, Eric Moises and Eduardo Tenorio. The third-place winner was the Disco Train group, consisting of Hayden Threlfall, Grace Harding, Andrew Burroughs, Josef Frankhouse and Thalia Hawkins.

Norris said, "We had 200-plussignups, nearly 180 attendees (174 participants to be exact), 30-plusprojects submitted and over $12,000 in sponsorship funds." Although it wasn't without its "bugs,"the event was a hit with students.

Several cameo awards were also given to teams. These are listed below:

MLH Best Domain Name from GoDaddy Registry

MLH Best DEI Hack Sponsored by Fidelity

MLH Best Use of Starknet

DORA by Boba Lovers

Scott Eagleson

Alvaro Garcia

Joshua Yustana

Christopher Heffernan

MLH Best Use of Kintone

MLH Sauce Labs Raffle

See the article here:

ACM HogHack 2024 Results | University of Arkansas - University of Arkansas Newswire

Read More..

Researchers Uncover New High-Precision Attacks Targeting Billions of Intel and AMD Processors – ScienceBlog.com

A multi-university and industry research team led by computer scientists at the University of California San Diego has discovered two novel types of attacks that target the conditional branch predictor found in high-end Intel processors. These attacks could be exploited to compromise billions of processors currently in use, potentially exposing confidential data.

The researchers work, to be presented at the 2024 ACM ASPLOS Conference, reveals a unique attack that is the first to target a feature in the branch predictor called the Path History Register (PHR). The PHR tracks both branch order and branch addresses, exposing more information with more precision than prior attacks.

We successfully captured sequences of tens of thousands of branches in precise order, utilizing this method to leak secret images during processing by the widely used image library, libjpeg, said Hosein Yavarzadeh, a UC San Diego Computer Science and Engineering Department PhD student and lead author of the paper.

The researchers also introduce an exceptionally precise Spectre-style poisoning attack, enabling attackers to induce intricate patterns of branch mispredictions within victim code. This manipulation can lead the victim to execute unintended code paths, inadvertently exposing its confidential data.

While prior attacks could misdirect a single branch or the first instance of a branch executed multiple times, we now have such precise control that we could misdirect the 732nd instance of a branch taken thousands of times, said UC San Diego computer science Professor Dean Tullsen.

The team presents a proof-of-concept where they force an encryption algorithm to transiently exit earlier, resulting in the exposure of reduced-round ciphertext. Through this demonstration, they illustrate the ability to extract the secret AES encryption key.

Pathfinder can reveal the outcome of almost any branch in almost any victim program, making it the most precise and powerful microarchitectural control-flow extraction attack that we have seen so far, said Kazem Taram, an assistant professor of computer science at Purdue University and a UC San Diego computer science PhD graduate.

Intel and AMD have been informed of the security findings and plan to address the concerns raised in the paper through a Security Announcement and a Security Bulletin, respectively. The findings have also been shared with the Vulnerability Information and Coordination Environment (VINCE).

The research was partially supported by various organizations, including the Air Force Office of Scientific Research, the Defense Advanced Research Projects Agency, the National Science Foundation, the Alfred P. Sloan Research Fellowship, and gifts from Intel, Qualcomm, and Cisco.

Keyword/phrase: High-precision attacks on Intel and AMD processors

The material in this press release comes from the originating research organization. Content may be edited for style and length. Want more? Sign up for our daily email.

View post:

Researchers Uncover New High-Precision Attacks Targeting Billions of Intel and AMD Processors - ScienceBlog.com

Read More..

How Harvard Came to the Cutting Edge of Quantum Research | News – Harvard Crimson

For the past few years, Harvard has publicly been ramping up its investment in quantum science research across the University.

In 2021, the University announced one of the first Ph.D. programs in Quantum Science and Engineering. The following year, it announced a research partnership with Amazon Web Services focused on quantum networking. Months later, in March 2023, Physics professor Mikhail Lukin whose research is focused on quantum science received a University Professorship, the highest faculty rank at the University and one of the most prestigious recognitions Harvard awards.

At the heart of Harvards rapidly burgeoning quantum research complex is the Harvard Quantum Initiative, which launched six years ago and which is at the center of Harvards expansion of research into the field.

The HQI, led by Lukin, Evelyn L. Hu, a professor of Applied Physics and Electrical Engineering, and Physics professor John M. Doyle, describes itself as a community of researchers with an intense interest in advancing the science and engineering of quantum systems and their applications on its website.

We felt a new organization was needed to properly focus resources on an efficient way to launch an effective education and research program in this new intellectual area, while facilitating translation and interaction with industry, Hu wrote in an emailed statement to The Crimson on behalf of HQI.

Now, six years after the founding of HQI, Harvards quantum research has expanded dramatically, bringing with it strong new industry partnerships, cutting edge research, and even helped consolidate funding from the Department of Defense and the federal government.

When it was first founded in 2018, the HQI was a formalization of existing collaborations within the Physics department.

The reason why this even exists was that there was quite a bit of collaboration and talking to each other before, said Susanne F. Yelin, a professor of Physics in residence.

Since then, quantum researchers at Harvard have seen an increase in funding and thus a growth in the research groups, something Yelin said was really nice.

How to pay my students, it's just not my main concern anymore, and this is really nice, she said. I started with a group of something like two, three people here at Harvard, and I think right now I have about 20.

We are really lucky that there are a lot of people who are so exciting and willing to, as donors, pour a lot of money into this, she added, pointing to the construction of the HQIs new building at 60 Oxford Street, which is scheduled to be completed this spring.

Formalizing the collaboration also increases visibility of the institutes work, according to Yelin.

It also puts us on the map in the sense of Hello, we are here, we are working on quantum, she said.

Liu Mengke, a postdoc at HQI, said the creation of the HQI has benefited postdocs like her. During the annual HQI symposium, professors and postdocs come together to discuss their work, which Liu said is an opportunity for a good exposure to other PIs.

Liu said the symposium is also an opportunity for students and postdocs to get some advice from those older generations.

The HQI has also provides other opportunities for researchers to interact with experts in the field, including through a quantum information seminar series organized by Anurag Anshu, a Computer Science professor at the institute.

Indranil Halder, a postdoctoral fellow at HQI, said the featured experts are much more accessible through the seminars.

Still, Liu said there are improvements the HQI can make to better serve students.

HQI is already a good platform for us, but I think theres a lot more it can do, she said. Having a good mix or mingle together between the students from different backgrounds, maybe coffee hours, she added.

Harvard has long received federal funding for its quantum research, including from the Defense Advanced Research Projects Agency, or DARPA, the Department of Defenses research branch. DARPA has coordinated research across universities with its Optimization with Noisy Intermediate-Scale Quantum devices, or ONISQ, program.

The ONISQ program was born out of the idea that noisy qubits, whose usefulness was believed to be limited to fundamental studies, could extend beyond to impact applications of quantum processors.

Mukund Vengalattore, the ONISQ program manager, said DARPA works towards forging a community where scientists work together collaboratively to advance achievement.

Usually the impossible happens much faster than you think it can, Vengalattore said.

In 2020, a research team led by Lukin the University Professor and HQI co-director and including collaborators from outside Harvard received a grant that would end up totaling nearly $9.5 million dollars from DARPA for work on quantum bits, the basic unit of information in quantum computing.

In classical computingalso known as traditional computingthe basic unit of information is a binary bit. It can represent zero or onetwo stateswhereas a qubit can represent any amount of states.

Last December, nearly four years later, Lukins team created the first quantum circuit with logical quantum bits an advancement toward fault-tolerant quantum computing and a significant step in reducing the computational errors which quantum computing is prone to.

According to math and theoretical science professor Arthur M. Jaffe, the work at HQI focused on quantum computing is the product of experts from several different fields working together.

Just as when biology and chemistry came together some years ago to merge into biochemistry, another merging is taking place. Physics, mathematics, and computer science are ripe to converge with the birth of new quantum mathematics which one might call quantum computer science, Jaffe wrote in an emailed statement.

Still, there are difficulties with collaborating across fields and bridging the gap between theoretical and experimental quantum science.

Liu, the postdoc, said that she is an experimentalist and while she wants to collaborate with researchers from different backgrounds, there often are challenges in communication.

Sometimes its a little hard to find a common platform so we understand each other's language, but we chat with them a lot, Liu said.We got a lot of data and we want them to help us understand, she added.

Despite the challenges, there are efforts to bridge that gap through class requirements. Liu said one solution to this is asking experimental students to take some theory classes, and theory students to take some experimental classes.

Beyond research, though, HQI also focuses on both working with industry partners and helping professors spin off their own research into private companies something that researchers say is helpful to expanding research capabilities.

In her emailed statement, Hu, the HQI co-director, wrote that we believe that translation of the knowledge into real-world applications is also very important, and its best done by bridging the cutting-edge research & education done in academic labs with leading industry players.

While Amazon is perhaps HQIs most prominent industry partner, the initiative is also working with other companies, including QuEra Computing a company Lukin co-founded that commercializes quantum computers from the research conducted at Harvard and MIT labs.

Vladan Vuleti, one of QuEras co-founders and a MIT professor, said industry partnerships like QuEra are important because they provide stability to researchers who otherwise rely on graduate students.

We might need better engineering than graduate students can provide, who stay a finite time, Vuleti said. Once quantum computing becomes feasible at a larger scale, then at some point, it probably wont be possible to be done in university labs anymore and would require dedicated people and permanent staff.

QuEra CEO Alexander Keesling also stressed the importance of having industry professionals.

Unlike a research lab that has a small number of people that are hyper focused on pushing the boundaries of understanding, here we have a mixture of physicists, engineers of different types, software engineers, electrical engineers, HE SAID

QuEra is working to expand its industry and scientific partnerships. According to Keesling, QuEra is working with the Lawrence Berkeley National Lab a federally funded lab at the University of California Berkeley , BMW, and academics working on machine learning.

But Yan Qi Huan, an HQI graduate fellow and current doctoral student, said while the investment into quantum research is important, people in the field should be careful about overhyping quantum science developments.

I think at the same time amongst some people, there's a fear of overhyping certain companies or certain releases over exaggerating the potential of quantum technologies like quantum computing, Yan said.

Vengalattore, the DARPA program manager, also emphasized the need for caution in assessing progress in the field.

We dont want to go around declaring victory in a premature manner, but victory can take many forms, Vengalattore said.

In the future, Vuleti sees academic and industry working in tandem to advance quantum computing.

I see kind of a parallel effort between something that is we take what we know, and we make it bigger and more reliable. he said. At the universities, the research goes on to find better systems, better ways of making quantum gates and reliable hardware.

As researchers and industry experts look to the future of quantum computing, Keesling emphasized the enormous progress in the quantum computing industry.

This is an incredibly exciting time for the industry, for quantum computing, he said. I can tell you that when I started my Ph.D., let alone my undergraduate, the quantum computing industry did not really exist.

See the original post here:

How Harvard Came to the Cutting Edge of Quantum Research | News - Harvard Crimson

Read More..

Africas e-learning platforms are training students in AI – Rest of World

After she graduated with a computer science degree from a state university in Nigeria late last year, Oyinda Olatunji was confident shed land a job with a local data science company by March. She had been through four rounds of interviews and thought the company would soon make her an offer.

The company, however, decided to go with another candidate who had experience working on artificial intelligence. Olatunji had studied topics like data science and machine learning in college, but the course did not include any practical, real-world examples of how AI works. A data mining course that I did at university was all theory and I just dont have the right skills that recruitment companies look for, Olatunji told Rest of World. As a result, job hunting has grown increasingly difficult. The 23-year-old said she has missed out on several other job opportunities due to a lack of practical experience in new technologies.

Several other African tech graduates have faced similar challenges.

More than 100 African universities offer courses related to AI, including data science and machine learning. But recruitment consultants and academics told Rest of World that graduates from these courses are largely unemployable because the programs are not up-to-date with the industrys requirements. Several startups have stepped up to bridge this gap: They give young African tech graduates practical experience in AI by organizing projects and competitions where they can win cash prizes. These companies, including Zindi in South Africa, DSNai and ChipLab in Nigeria, and ALX in Kenya, have helped thousands of students find jobs.

Africas higher learning institutions have struggled to design curricula that align with the ever-evolving technology landscape, making it difficult for graduates to have the right AI skills, Abdul Moosa, chief technology officer at cybersecurity firm Cyberport Africa, told Rest of World. Private AI startups have emerged to assist graduates in acquiring relevant, practical, tailor-made AI skills and are collaborating with companies to provide internships. Those with such skills have huge success [in the job market].

In the first two months of 2024, over 100,000 students enrolled in programs by ALX, a Kenya-based e-learning platform that offers courses related to data science and software engineering. The company, founded in 2015, started offering AI courses in 2018. Nearly 85% of South African students who took ALXs courses have found relevant jobs, Bavesh Sooka, the companys general manager in South Africa, told Rest of World.

Zindi, a 6-year-old company, has seen nearly 73,000 data scientists use its platform, where it hosts hackathons and boot camps to train graduates and match them with potential employers, CEO Celina Lee told Rest of World. Zindi is backed by investors like AI firm InstaDeep and investment firm Founders Factory Africa it has helped over 100 engineers find jobs with Microsoft, Google, and Meta.

We came up with a model to challenge the notion that data-related solutions could only be found outside of Africa, Lee said. The idea was to develop African talent so that the continent could solve data-related problems without having to look outside of Africa for solutions.

Lawrence Moruye, who has a degree in mathematical sciences from Senegal, signed up for Zindi in September 2018. He wanted to learn programming skills that his school did not teach. Participating in hackathons on Zindi helped him get there.

The hackathons on Zindi taught me how to apply theory to solving real data-related problems and to find solutions something that we never learned at varsity, Moruye told Rest of World. His experience earned him scholarships from Meta and Google to pursue a masters degree in machine learning. He now works as a data scientist at African e-commerce major Jumia.

"Africa is not prepared to reach its full AI potential because we do not have enough talent."

The training provided by startups like Zindi is critical at a time when several African countries are dealing with high levels of unemployment, according to Abdul-Khaaliq Mohammed, an engineering professor at the University of the Witwatersrand in South Africa.

Even after finishing a data science degree, graduates are finding that they are not experts in machine learning and AI, and for this, they require training and upskilling, Mohammed told Rest of World. New players in AI and machine learning education are quicker to respond to the new trends, and by upskilling graduates, they increase their chances of being employed in the face of an unemployment crisis.

The South African Ministry of Higher Education, Science, and Innovation, which is responsible for overseeing the quality of university education in the country, did not respond to Rest of Worlds request for comment.

There is an acute shortage of AI-related talent in Africa, and governments across the continent need to step in to find a solution, according to Pipeloluwa Olayiwola, an engineering professor at Obafemi Awolowo University in Nigeria.

Africa is not prepared to reach its full AI potential because we do not have enough talent, Olayiwola told Rest of World. The few startups available may not have what it takes to train enough professionals, he said. The best way is for African governments to invest in university AI programs. This, coupled with private startups, will help build an adequate number of AI professionals.

Read more:

Africas e-learning platforms are training students in AI - Rest of World

Read More..

Here Are Top 5 Altcoins under $0.1 to Buy in May – The Crypto Basic

This article identifies five recommended altcoins for investment as the bearish April month winds down.

The altcoin market faced a significant obstacle in April, with their prices hitting lower lows amid Bitcoins price instability. Now, with the month edging closer to an end, the crypto community anticipates a bull rally in May, especially following the Bitcoin halving ten days ago.

Amid this optimism, altcoin prices have continued to slide as Bitcoin shows sporadic signs of recovery followed by further declines. Nonetheless, market watchers eye a potential turnaround next month. In anticipation of this shift, The Crypto Basic has pinpointed five altcoins under $0.1 deemed promising for investment.

At press time, Shiba Inu sells for $0.00002397, having lost 21% of its value in the last 30 days. Shiba Inu merited this list given its position as the second most valuable meme coin and its strong potential to replicate past success.

Yesterday, The Crypto Basic uncovered that Shiba Inus price could soar by over 350% to enter the $0.0001 range next month. This projection emerged from Shiba Inus trajectory in 2021, in which it rallied by four-fold in May.

Moreover, numerous market analysts have proposed that Shiba Inu may likely repeat its 2021 history in this emerging bull season.

VeChain (VET) hovers around $0.03895 at the time of reporting, bearing a 15% decline in its 30-day performance. VET emerges as a worthy investment asset based on the recommendation of multiple market observers.

- Advertisement -

For instance, analyst EGRAG has repeatedly emphasized VETs potential to attain $1 in this bull market. In his view, VET is significantly undervalued to the extent that it could potentially set retail investors financially free when it ultimately explodes.

One of EGRAGs most ambitious outlooks for VeChain is for the asset to soar as much as 6,061% to $2.4. Other analysts like Ali Martinez have expressed comparable bullish targets for VET in their analyses.

Besides its technicals, VeChains utility in the $18 trillion supply chain market is among the factors influencing the bullish forecasts.

While Shiba Inu and VeChain are large-cap cryptocurrencies, SKALE (SKL) emerges as a notable low-cap altcoin under $0.1. SKL trades at $0.0842, having relinquished over 31.46% of its gains over the past month to the bears.

SKL was among the notable performers of this seasons earlier phase bull run, growing by 342% from a low of $0.0282 before the bears set in this month. Three days ago, renowned market veteran Michal van de Poppe spotlighted SKL among tokens that could expand three-fold against Bitcoin with the lowest amount of risk.

Similarly, analyst Ali Martinez identified RBC as a coin worth considering going into May 2024. In an analysis, Martinez argued that RBC was shaping an ascending triangle pattern on its 3-day chart.

He noted that a close above $0.0445 could trigger a significant 70% surge, potentially propelling the asset to $0.0767.

Buy in before the breakout. Stake the coins, and gains can multiply as the bullish target approaches, Martinez recommended.

The prominent Solana meme coin, BONK, once again surprised the crypto market with a massive comeback. Four days ago, it soared from the April 13 low of $0.00001257 to as high as $0.00002946.

This trajectory marks an explosive 134% gain during a period of significant bearish volatility. Interestingly, BONK continues to maintain most of the gains, despite Bitcoins influence this week, with its value sitting at $0.00002435 at last check.

Disclaimer: This content is informational and should not be considered financial advice. The views expressed in this article may include the author's personal opinions and do not reflect The Crypto Basics opinion. Readers are encouraged to do thorough research before making any investment decisions. The Crypto Basic is not responsible for any financial losses.

-Advertisement-

Read more:
Here Are Top 5 Altcoins under $0.1 to Buy in May - The Crypto Basic

Read More..

Is the Next Altcoin Season Around The Corner? Some Traders Believe So – Cryptonews

Last updated: April 29, 2024 17:26 EDT | 1 min read

With Bitcoin exhibiting signs of consolidation, anticipation is building around a potential new altcoin season.

The recent price movement has sparked discussions and speculation among traders about the possibility of an upcoming altcoin season.

Ahead of the April 28 weekly close, Bitcoin bounced past $64,000, and data indicates a strengthening of Bitcoins price over the weekend.

At the time of writing, Bitcoin hovers around $62,600, while the total altcoin market capitalization has seen a modest 1% increase, hinting at a potential positive trend for these alternative cryptocurrencies.

Trader and commentator Moustache predicted a full-fledged altcoin season, rivaling anything since the all-time highs in 2017.

Responding to the altcoin activity, popular trader Skew noted on X (formerly Twitter) that Alts bounced nicely, but breaking the pattern of setting weekly highs on Mondays and Tuesdays remains crucial.

Skew suggested that there is a possibility of sell-side pressure hindering Bitcoins progress towards its near-range highs.

The trader suggested that Tether is attempting to reclaim its position after breaking below a rising trendline earlier this year. This dip was merely a backtest.

According to his statement, there is an inverse relationship between the USDT (Tether) value and the value of altcoins.

Ethereums price has experienced a substantial drop over the past six months due to gas fees skyrocketing.

ETH has dropped 10.46% this month alone from its April 9 high of $3,722.

In the past week, Ether has seen a slight increase of 4.3% in the market, but still not enough to bounce back.

Analysts from crypto analytics platform Santiment suggested that the drop in Ethereum gas fees could potentially signal an upcoming altcoin season.

According to Santiments X post, Ethereums average transaction fee has fallen as low as $1.12.

Santiment predicts a quicker turnaround for Ethereum and associated altcoins than expected due to the recent retracement and reduced demand on the network.

Read more:
Is the Next Altcoin Season Around The Corner? Some Traders Believe So - Cryptonews

Read More..

Altcoin Season Approaching? Ethereum Fees Dive, Analysts See Bullish Signal – CCN.com

Key Takeaways

Gas fees on the Ethereum network have fallen to their lowest levels in six months, coinciding with a modest uptick in ETHs price.

Analysts from the crypto analytics platform Santiment interpret the drop in gas fees as a potential indicator of an impending altcoin rally.

Santiment reported that the average fee for an Ethereum transaction dipped to just $1.12.

The platform noted that transaction fees tend to mirror cycles of investor sentiment, alternating between periods of high optimism and significant pessimism.

Gas fees typically reach their peak during market highs and then decrease to lower levels during market lows.

Earlier in the year, Ethereums gas fees hit an eight-month peak in February, driven by heightened interest in the experimental ERC-404 token standard.

The current low gas fees on the Ethereum network might signal a potential uptick in activity, possibly setting the stage for an altcoin rally.

According to Santiment, the recent market retracement, along with decreased demand and less strain on the network, could lead to a faster than expected recovery for Ethereum and related altcoins.

According to CoinGecko, Ether has seen a 4.3% increase over the past week, which aligns with observations of a minor rally in its price.

Furthermore, on April 27, three Ethereum layer-2 networksOptimism (OP), Arbitrum (ARB), and Polygon, were ranked among the top five best-performing assets within the top 50 cryptocurrencies by market cap. These networks posted gains of 11.7%, 3.5%, and 2.8% respectively.

However, the downturn in network activity has resulted in an increase in the circulating supply of Ethereum.

In the past month,74,458 new ETH were issued while only 57,516 were burned, leading to a net supply increase in supply of 16,979 ETH. This development contrasts with the steady deflation observed over the previous five months.

Its important to note that Ethereum moved to a proof-of-stake consensus mechanism, known as The Merge, on September 15, 2022. This was part of an effort to reduce the overall supply of Ethereum and potentially increase its value over time. Since then, more than 437,000 ETH has been burned.

The Ethereum network reported a robust income of $365 million in the first quarter of 2024. This represented year-on-year revenue growth of 155%.

This figure represents a substantial 200% increase compared to the $123 million profit recorded in the fourth quarter of 2023. A major factor contributing to this growth was the surge in decentralized finance (DeFi) activity during the three months.

Ethereums fee revenue, generated through user transactions, reached a notable milestone of $1.17 billion in the first quarter of 2024. This represented a 155% increase from the same period in 2023 and an 80% upswing from the previous quarter.

The increase in network activity, driven by the growth in DeFi applications, has propelled Ethereums average daily transactions in 2024 to surpass last years figures. The current average of 1.15 million daily transactions is nearing the peak levels observed during Ethereums significant run in 2021.

Was this Article helpful? Yes No

Go here to see the original:
Altcoin Season Approaching? Ethereum Fees Dive, Analysts See Bullish Signal - CCN.com

Read More..