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Cryptocurrency: Top 3 Coins To Watch Under $1 In May 2024 – Watcher Guru

With Bitcoins halving officially complete, the cryptocurrency market may enter another bullish phase. The crypto realm is a very volatile field. Prices can sometimes take violent turns, whereby investors lose significant amounts of money. Hence, new investors may want to start with something small.

With that said, lets look at three crypto assets under $1 to watch in May 2024.

Shiba Inu (SHIB):

Shiba Inu (SHIB) is one of the most popular cryptocurrencies under $1. The asset is also predicted to rally in May. According to CoinCodex, SHIB could hit a new all-time high of $0.00008813 on May 24, 2024. Reaching $0.00008813 from current levels would translate to a growth of about 240%.

Also Read: Top 3 AI Cryptocurrencies To Buy For Gains As Nvidia Report Drops In May

Changelly also anticipates a bullish trajectory for SHIB in May. The platform predicts SHIB to hit a new all-time high of $0.00008739 on May 22, 2024.

XRP:

Ripples XRP token is another popular cryptocurrency under $1. However, XRP has seen slow growth over the last few months. One of the most significant barriers to XRPs price is Ripples ongoing lawsuit with the SEC (Securities and Exchange Commission). Although a US district court ruled partially in favor of Ripple in 2023, the suit has now entered the high court, and investors await a verdict. If the high court rules similarly to the district court, we may witness a sudden surge in XRPs price.

Also Read: Top 3 Cryptocurrencies Predicted to Hit All-Time Highs in May 2024

WIF is another popular cryptocurrency that could surge in May. The asset recently hit an all-time high of $4.83 on Mar. 31, 2024. However, according to CoinCodex, WIF could surge to a new peak in May. The platform anticipates WIF to hit $9.76 on May 24, 2024.

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Cryptocurrency Pepe Down More Than 7% Within 24 hours – Investing.com UK

Benzinga - by Benzinga Insights, Benzinga Staff Writer.

Over the past 24 hours, Pepe's (CRYPTO: PEPE) price has fallen 7.25% to $0.0000070. This is opposite to its positive trend over the past week where it has experienced a 5.0% gain, moving from $0.0000068 to its current price.

The chart below compares the price movement and volatility for Pepe over the past 24 hours (left) to its price movement over the past week (right). The gray bands are Bollinger Bands, measuring the volatility for both the daily and weekly price movements. The wider the bands are, or the larger the gray area is at any given moment, the larger the volatility.

The trading volume for the coin has fallen 38.0% over the past week which is opposite, directionally, with the overall circulating supply of the coin, which has increased 0.28%. This brings the circulating supply to 420.69 trillion, which makes up an estimated 100.0% of its max supply of 420.69 trillion. According to our data, the current market cap ranking for PEPE is #41 at $2.95 billion.

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This article was generated by Benzinga's automated content engine and reviewed by an editor.

2024 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.

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What are the Types of Artificial Intelligence? – Analytics Insight

Artificial intelligence can be simply considered as the design and creation of machines capable of replicating human cognitive processes, such as decision-making, object recognition, solving complex issues, and much more. Explore what are the types of Artificial Intelligence in this article along with the 3 categories of AI.

Before we learn what are the types of artificial intelligence, there are 3 stages in this technology of AI which has the potential to change the future namely, Artificial General Intelligence, Artificial Narrow Intelligence, and Artificial Superintelligence.

Artificial Narrow Intelligence (ANI)

Narrow AI (ANI), sometimes called weak AI, is like the way AI systems carry out orders or define specific jobs. ANI, on the other hand, is designed to master and execute one cognitive ability and is unable to learn different skills on its own. Therefore, technology cannot be understood independently. They regularly use these techniques together as part of algorithms in machine learning and neural networks to accomplish the goals assigned to them.

Such processing is an example of narrow AI since it can recognize and reply to voice commands, but it wont work well with other tasks.

Narrow AI has, for instance, some implementations, such as image recognition software, self-driving cars, and AI-based virtual assistants.

AGI, also called Strong AI, is the next stage in the evolution of Artificial Intelligence when machines do not just acquire the ability to reason and make decisions like humans.

The first fact related to Strong AI is that it is a hypothetical concept with no existing models. Nevertheless, it is projected that such machines will probably have intelligence like that of humans.

Strong AI is considered a threat to human existence by many scientists, including Stephen Hawking, who stated Strong AI is viewed as a threat to human existence by many scientists, including Stephen Hawking, who stated:

At the far end of artificial intelligence, if achieved without human intervention, the future could be bleak for human beings. It would get to a point where it would just design itself and self-improve but at a faster and faster rate. Humans who are restricted in their speed of biological evolution by a slow process could and, therefore, would be hopeless against those who possess AI.

Artificial superintelligence means computers become intelligent not only as an average person but even much more intelligent than a person.In fact, ASI (artificial super intelligence), the plot of future movies until now, shows a scenario where machines take power, as described in sci-fi books.

This could be possible in near future.The blistering speed of development in artificial intelligence (AI is for real but not limited to narrow AI only) is difficult. Most people who do not have direct communication with groups like Deepmind have no clue how rapid the progress is it is almost close to the exponential curve. Hence, the risk is that within five years, something hazardous can happen (at max in 10 years) as said by Mr. Elon Musk.

Passive robotic creatures simply act when stimulated in the same manner as passive people.They can answer now but may not keep the past; they are not the ones to remember experiences and have new knowledge and capabilities after undergoing the ordeal.To this end, it should also be noted that the scope of reacting machines response to the inputs of a certain number is very narrow.Reactive machines constitute the focus of AI applications.

Truly, the operation in raptures of the reactive machines is evident in performing some elementary autonomous operations, such as filtering junk emails from your email inbox or recommending products based on your shopping history. Though reactive AI cant create novel solutions or have more complicated capabilities beyond that, unlimited improvement is still possible.

This type of instability may be somewhat mitigated by memory AI, which can store past data and use it to make forecasts or offer direction for improvement.This means it creates its own dislocated, short-term knowledge of the world and acts only on this knowledge in rare everyday situations.

The essence of this AI directly relies on a deep learning approach based on the pattern of human neurons.This fact enables a machine to accept data through experience and learn from that, bettering its accuracy in every action it takes.

Our smartphones, voice assistants, self-driving cars, and even the voice-activated systems in our homes use this kind of elegant AI. This can apply to situations such as just chatting or personal assistants, as well as the more advanced discovery of autonomous vehicles and other cases.

The theory of mind concerns AI that looks into human emotions and can discover the same.The word is derived from psychology, and it is used to define a human beings capability to read into the willingness and convince oneself, allowing one to predict what lies ahead.There are doubts about whether the theory of mind will become a reality soon, but it looks like something significant and promising in the AI development domain.

The main idea of self-aware AI lies in its ability to be self-conscious. It can learn, perceive, detect, and think like humans.The AI point of the single is called the AI singularity. Self-aware AI might be the AI singularity, which is one of the goals of AI development.If self-awareness AI is achieved when it is, then it will be extra because apart from other peoples feelings, AI machines would also have a sense of self.

FAQs

What is artificial intelligence? What are its applications?

Artificial intelligence, or AI, is a branch of computer science that tries to develop systems and algorithms capable of imbuing a machine with human characteristics such as learning or the capacity to plan activities, so replicating human capabilities. As a result, it has numerous uses in a variety of sectors.

Coding is essential in AI development because it allows for the formulation and implementation of AI algorithms and models, which serve as the foundation for AI system intelligence. AI algorithms are created to process data, learn from it, and then make predictions or judgments based on patterns and insights.

Expected benefits for organizations that use AI and machine learning in the real world include the capacity to analyze massive volumes of data to create relevant insights swiftly, as well as a greater return on investment (ROI) for associated services owing to lower labor costs.

Different models are accessible, including decision trees, logistic regression, linear regression, and deep learning models. It is critical to select a model with a high accuracy rate that is appropriate for the task at hand. Hyperparameter tuning is the process of adjusting settings prior to training an AI/ML model.

While AI can improve productivity and efficiency, human input is still required for innovation, problem-solving, and decision-making in many technical professions.

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Ready to implement AI at work? Google has a new course for that – ZDNet

Getty Images/Surasak Suwanmake

Generative artificial intelligence (AI)can positively impact most people's workflows, regardless of their industry. However, despite many generative AI tools being readily accessible, most people don't know how to apply them to their work. That's where Google's new AI course can help.

On Friday, Google launched its new AI Essentials course, which teaches working professionals how to implement generative AI in their day-to-day to boost productivity.

Also: Google releases two new free resources to help you optimize your AI prompts

The course takes less than ten hours to complete and includes videos, readings, and exercises. Once users complete the course, they will earn a certificate from Google that can be shared with employers, networks, social platforms, and more.

The full course is available on Coursera for $49. If you are hesitant about spending the money, ZDNET plans on taking the course in the upcoming week and will share our review of its effectiveness soon.

Google said it will also make the course available through nonprofits, schools, and companies. For example, Miami Dade College is providing the course to all its AI degree program students, and Google and CitiGroup will offer the course to their employees to help upskill them in AI.

If you are an educator interested in learning more about how you can implement AI in your workflow, Google recently launched a free Generative AI Educators course in partnership with MIT. The course is intended to help educators learn how to use generative AI to save time, enhance lessons, and more.

Also:7 reasons I use Copilot instead of ChatGPT

In addition to launching the new course, Google also announced a $75 million AI Opportunity Fund intended to help Americans learn essential AI skills through grants given to workforce development and education organizations. Those organizations will then provide AI training to "rural and underserved communities, educators and students, public sector, nonprofit leaders and small businesses at no cost," according to the release.

AI literacy is a critical part of successfully deploying AI tools because it allows people to get the most out of the technology. Courses like these not only help users become more competitive in the job market but also help them learn how to apply AI elsewhere in their lives. Interested in a free AI course? Check outZDNET's list of best free AI courses.

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An AI-focused ETF from a hedge fund veteran is gaining attention by soaring 60% over the past year – CNBC

When Ivana Delevska launched her fund in August 2021, she had a sense that artificial intelligence would be huge. A hedge fund veteran, having worked at Citadel, Millennium and Tiger Management, Delevska specializes in the industrial sector, communicating with more than 100 companies she covers. By figuring out where companies were investing their dollars, she saw the AI boom coming. "We were able to spot a trend way earlier than everybody else ... just because we talked to industrial companies that were investing in the GPUs for AI," Delevska said in an interview, referring to graphics processing units . Delevska's Spear Alpha ETF (SPRX ), with $70 million in assets under management, has about 26 holdings and almost everything in her portfolio is expected to benefit in some way from AI. "AI is obviously the biggest theme there is no question and it's impacting basically 95% of our portfolio," she said. "So pretty much everything we were invested [in] right now is going to benefit from AI in one way or another. SPRX 1Y mountain Spear Alpha ETF Almost 11% in Nvidia The actively managed ETF is up more than 60% in the past 12 months, outpacing the better known Ark Innovation ETF . By contrast, the Cathie Wood-led ARKK has gained a little more than 21% in the same time. One big driver for Spear's outperformance is an overweighting in Nvidia . First bought in 2023, the chip darling has become the biggest holding in SPRX with an almost 11% weighting. "When we were going into 2023, Nvidia was completely out of favor. So it was really like a way to play offense," Delevska said. "It was a high risk investment, but also a high return investment." Now that Nvidia has soared more than 220% in the past year, Delevska sees the stock playing a more defensive role in her portfolio, with 30% to 40% expected return over the next several years. AI apart, Spear Alpha ETF invests in other themes, like enterprise digitalization, space exploration and decarbonization. However, Spear doesn't take a thematic approach, Delevska said. "We derive the themes from the companies that we cover," she said. "It's very similar to like the way you would run a long book at a fund like Citadel, for example. It's all about like the individual stock picks, so that's where you derive the alpha from." Spear Alpha ETF has taken in $54 million in inflows so far in 2024, according to FactSet. Wood hasn't fared as well, suffering $1.36 billion in ARKK outflows in 2024 as investors grew disappointed at its performance.

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Ex-athletic director accused of framing principal with AI arrested at airport with gun – The Baltimore Banner

Baltimore County Police arrested Pikesville High Schools former athletic director Thursday morning and charged him with crimes related to the alleged use of artificial intelligence to impersonate Principal Eric Eiswert, leading the public to believe Eiswert made racist and antisemitic comments behind closed doors.

Dazhon Darien, 31, was apprehended as he attempted to board a flight to Houston at BWI Airport, Baltimore County Police Chief Robert McCullough said at a news conference Thursday afternoon. Darien was stopped for having a gun on him and airport officials saw there was a warrant for his arrest. Police said they did not know whether Darien was trying to flee.

Darien was charged with disrupting school activities after investigators determined he faked Eiswerts voice and circulated the audio on social media in January, according to the Baltimore County States Attorneys Office. Dariens nickname, DJ, was among the names mentioned in the audio clips authorities say he faked.

The audio clip ... had profound repercussions, police wrote in charging documents. It not only led to Eiswerts temporary removal from the school but also triggered a wave of hate-filled messages on social media and numerous calls to the school. The recording also caused significant disruptions for the PHS staff and students.

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Police say Darien made the recording in retaliation after Eiswert initiated an investigation into improper payments he made to a school athletics coach who was also his roommate. Darien is also charged with theft and retaliating against a witness.

Darien was allowed release on $5,000 bond and waived an attorney at an initial court appearance, according to court records. Attempts to reach him by phone and at his home were unsuccessful.

Eiswerts voice, which police and AI experts believe was simulated, made disparaging comments about Black students and the surrounding Jewish community and was widely circulated on social media.

Questions about the audios authenticity quickly followed. Police wrote in charging documents that Darien had accessed the schools network on multiple occasions in December and January searching for OpenAI tools, and used Large Language Models that practice deep learning, which involves pulling in vast amounts of data from various sources on the internet, can recognize text inputted by the user, and produce conversational results. They also connected Darien to an email account that had distributed the recording.

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Many current and former students believed Eiswert was responsible for the offensive remarks, while former colleagues denounced the audio and defended Eiswerts character. Eiswert himself has denied making those comments and said the comments do not align with his views.

The audio, posted to the popular Instagram account murder_ink_bmore, prompted a Baltimore County Public Schools and Baltimore County Police investigation. Eiswert has not been working in the school since the investigation began.

The voice refers to ungrateful Black kids who cant test their way out of a paper bag and questions how hard it is to get those students to meet grade-level expectations. The speaker uses names of people who appear to be staff members and says they should not have been hired, and that he should get rid of another person one way or another.

And if I have to get one more complaint from one more Jew in this community, Im going to join the other side, the voice said.

Darien was being investigated as of December in a theft investigation that had been initiated by Eiswert. Police say Darien had authorized a $1,916 payment to the schools junior varsity basketball coach, who was also his roommate, under the pretense that he was an assistant girls soccer coach. He was not, school officials said.

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Eiswert determined that Darien had submitted the payment to the school payroll system, bypassing proper procedures. Darien had been notified of the investigation, police said.

Police say the clip was received by three teachers the night before it went viral. The first was Darien; a third said she received the email and then got a call from Darien and teacher Shaena Ravenell telling her to check her email. Ravenell told police that she had forwarded the email to a students cell phone, who she knew would rapidly spread the message around various social media outlets and throughout the school, and also sent it to the media and the NAACP, police said.

She did not mention receiving it from Darien until confronted about his involvement. Ravenell has not been charged with a crime and could not immediately be reached for comment.

Both Darien and Ravenell have submitted their resignations to the school system, according to an April 16 school board document. The resignations are dated June 30.

Baltimore County Public Schools Superintendent Myriam Rogers said school system officials are recommending Dariens termination. She would not say, however, if the other employees named in the charging documents, including Ravenell, are still working at the school.

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Rogers in January called the comments disturbing and highly offensive and inappropriate statements about African American students, Pikesville High School staff, and Pikesvilles Jewish community.

Rogers said Kyria Joseph, executive director for secondary schools, and George Roberts, a leadership consultant for the school system, have been running Pikesville High School since the investigation started. They will continue to do so for the remainder of the year. She said they will work with Eiswert to determine his duties for next school year.

Billy Burke, head of the Council of Administrative & Supervisory Employee, the union that represents Eiswert, was the only official to suggest the audio was AI-generated.

Burke said he was disappointed in the publics assumption of Eiswerts guilt. At a January school board meeting, he said the principal needed police presence at his home because he and his family had been harassed and threatened. Burke had also received harassing emails, he said at the time.

I continue to be concerned about the damage these actions have caused for Principal Eiswert, his family, the students and staff of Pikesville High School, and the Black and Jewish community members, Burke said in a statement on Thursday. I hope there is deliberate action to heal the trauma caused by the fake audio and that all people can feel restored.

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Police said the schools front desk staff was inundated with phone calls from parents and students expressing concern and disparaging remarks toward school staff and administrators. The flood of calls made it difficult to field phone calls from parents trying to make arrangements for their children and other school functions, officials told police.

The school leadership expressed that staff did not feel safe, which required an increase in police presence at the school to address safety concerns and fears, police said.

Teachers, under the impression the recording was authentic, expressed fears that recording devices could have been planted in various places in the school, police said.

The recordings release deeply affected the trust between teachers and the administration, police said. One individual shared that they fielded sensitive phone calls in their vehicle in the parking lot instead of speaking in school.

Hate has no place and no home in Baltimore County, said Johnny Olszewski Jr., the Baltimore County executive.

He called the developments of AI deeply concerning and that its important for everyone to remain vigilant for anyone using the technology for malicious reasons. There should also be more investment in technology that identifies any inauthentic recording made with AI, he said.

Experts in detecting audio and video fakes told The Banner in March that there was overwhelming evidence the voice is AI-generated. They noted its flat tone, unusually clean background sounds and lack of consistent breathing sounds or pauses as hallmarks of AI. They also ran the audio through several different AI-detection techniques, which consistently concluded it was a fake, though they could not be 100% sure.

The police also sought the expertise of two professors familiar with AI detection to assist in their investigation. Catalin Grigoras, a forensic analyst and professor at the University of Colorado Denver, concluded that the recording contained traces of AI-generated content with human editing after the fact, which added background noises for realism, the charging documents stated.

Hany Farid from the University of California, Berkeley, whos also an expert in forensic analysis, determined the recording was manipulated, and multiple recordings were spliced together, according to the documents.

AI voice-generation tools are now widely available online, and a single minutes recording of someones voice can be enough to simulate it with a $5-a-month AI tool, the Nieman Journalism Lab reported in February.

There are few regulations to prevent AI imitations, called deepfakes, and few perpetrators are prosecuted.

Cindy Sexton, president of the Teachers Association of Baltimore County, said AI should be a concern for everyone, especially educators.

She said the National Education Association is working to address their concerns, but in the meantime, shes not sure what else should be done.

We have to do something as a society, but what is that something is of course the big question, Sexton said

Baltimore County States Attorney Scott Shellenberger said this is the first time this type of case has been taken up by the district. And its one of the first his office was able to find around the nation.

There were some legal statutes they used that were right on point, he said, but the charge of disrupting school activities only carries a six-month sentence.

It seems very clear to me that we may need to make our way down to Annapolis in the legislature next year to make some adaptions to bring the law up to date with the technology that was being used, he said.

Baltimore Banner staff writers Cody Boteler and Kaitlin Newman contributed to this report.

Correction: This story has been updated to correct the spelling of Hany Farids name.

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Big Tech keeps spending billions on AI. There’s no end in sight. – The Washington Post

SAN FRANCISCO The biggest tech companies in the world have spent billions of dollars on the artificial intelligence revolution. Now theyre planning to spend tens of billions more, pushing up demand for computer chips and potentially adding new strain to the U.S. electrical grid.

In quarterly earnings calls this week, Google, Microsoft and Meta all underlined just how big their investments in AI are. On Wednesday, Meta raised its predictions for how much it will spend this year by up to $10 billion. Google plans to spend around $12 billion or more each quarter this year on capital expenditures, much of which will be for new data centers, Chief Financial Officer Ruth Porat said Thursday. Microsoft spent $14 billion in the most recent quarter and expects that to keep increasing materially, Chief Financial Officer Amy Hood said.

Overall, the investments in AI represent some of the largest infusions of cash in a specific technology in Silicon Valley history and they could serve to further entrench the biggest tech firms at the center of the U.S. economy as other companies, governments and individual consumers turn to these companies for AI tools and software.

The huge investment is also pushing up forecasts for how much energy will be needed in the United States in the coming years. In West Virginia, old coal plants that had been scheduled to be shut down will continue running to send energy to the huge and growing data center hub in neighboring Virginia.

Were very committed to making the investments required to keep us at the leading edge, Googles Porat said on a Thursday conference call. Its a once-in-a-generation opportunity, Google CEO Sundar Pichai added.

The biggest tech companies had already been spending steadily on AI research and development before OpenAI released ChatGPT in late 2022. But the chatbots instant success triggered the big companies to suddenly ramp up their spending. Venture capitalists poured money into the space, too, and start-ups with just a handful of employees were raising hundreds of millions to build out their own AI tools.

The boom pushed up prices for the high-end computer chips necessary to train and run complex AI algorithms, increasing prices for Big Tech companies and start-ups alike. AI specialist engineers and researchers are in short supply, too, and some of them are commanding salaries in the millions of dollars.

Nvidia the chipmaker whose graphic processing units, or GPUs, have become essential to training AI expects to make around $24 billion this quarter after making $8.3 billion two years ago in the same quarter. The massive increase in revenue has led investors to push the companys stock up so much that it is now the worlds third-most valuable company, after just Microsoft and Apple.

Some of the AI hype from last year has come back to Earth. Not every AI start-up that scored big venture-capital funding is still around. Concerns about AI increasing so fast that humans cant keep up seem to have mostly quieted down. But the revolution is here to stay, and the rush to invest in AI is already beginning to help grow revenue for Microsoft and Google.

Microsofts revenue in the quarter was $61.9 billion, up 17 percent from a year earlier. Googles revenue in the quarter rose 15 percent to $80.5 billion.

Interest in AI has brought in new customers that have helped boost Googles cloud revenue, leading to the company beating analyst expectations. Shares shot up around 12 percent in aftermarket trading. At Microsoft, demand for its AI services is so high that the company cant keep up right now, said Hood, the CFO.

For Meta, the challenge is building AI while also assuring investors it will eventually make money from it. Whereas Microsoft and Google sell access to their AI through giant cloud software businesses, Meta has taken a different track. It doesnt have a cloud business and is instead making its AI freely available to other companies, while finding ways to put the tech into its own social media products. This month, Meta integrated AI capabilities into its social networks, including Instagram, Facebook and WhatsApp. Investors are skeptical, and after the company raised its prediction for how much money it will spend in 2024 to as much as $40 billion, its stock fell over 10 percent.

Building the leading AI will also be a larger undertaking than the other experiences weve added to our apps, and this is likely going to take several years, Meta CEO Mark Zuckerberg said on a conference call Wednesday. Historically, investing to build these new scaled experiences in our apps has been a very good long-term investment for us and for investors who have stuck with us.

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AI for AP: High school students create tool that acts as tech tutor for advanced placement courses – GeekWire

Professor AI co-founders Pradyu Kandala, left, and Abhay Chebium. (Professor AI Photos)

Frustrated by inadequate resources to help students study for advanced placement courses, two Seattle-area high school teens turned to technology, and put AI to work on AP.

Pradyu Kandala and Abhay Chebium are juniors at Eastlake High School in Sammamish, Wash., and the co-founders of Professor AI, an ed-tech tool they started building last summer.

We started this because we experienced the problem, said Kandala, an aspiring entrepreneur who is the startups CEO. Chebium is the CTO. We know that if we can use this for our homework, everybodys going to want to use it for homework.

Professor AI is like a ChatGPT for AP courses, according to Kandala, and is designed to help students via study guides, practice tests or quizzes, course-specific chats, and more. Using AI models from OpenAI, Claude, Anthropic, and Mistral AI, Professor AI is trained on AP-specific curriculum such as AP rubrics, textbooks, and various niche questions.

As artificial intelligence technology has increasingly made its way into the classroom, concern has also increased over the use of ChatGPT and similar software that can automatically generate content and answer prompts. Seattle Public Schools originally banned ChatGPT on student devices before making it available to ensure students have access to this transformative technology.

Professor AI is not built to just give kids answers and help them cheat.

Kandala said the goal is to use tech to replace three obstacles impeding how students currently study for AP courses the college-level classes that some kids take in high school to prepare for higher education. Those obstacles include teachers with too many students and not enough time; tutors that are expensive and less accessible; and self study, which can be overwhelming for lots of kids.

With plenty of competition online promising all kinds of help with schoolwork, Kandala said he feels like he and Chebium are uniquely qualified to tackle the problem. They know what AP students need, they have access to potential customers on a daily basis at school, and they can iterate and make a better product faster because of their connections.

If I want to talk to an AP student, I can go to class tomorrow and talk to 30 of them instantly, Kandala said. Compared to a conglomerate, it would take them months to get in contact with people and have proper conversations.

Kandala and Chebium are already enrolled in a New York-based accelerator program with Antler.

The company has raised $20,000 so far and is actively looking for more investors.

The startups monetization plan is based on a subscription model. Theres a free plan, a $14/month scholar plan and an elite plan for $29/month that promises unlimited access to chats, messages, classes, math problems and more. In a nod to their student customer base, Professor AI notes that the scholar plan would cost one Chipotle.

Professor AI has a small number of mostly high schoolers working as developers and in marketing/content.

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Xaira Therapeutics $1 billion funding round shows the excitement about AI drug discovery – Fortune

Hello and welcome to Eye on AI.

The pursuit to use AI to discover new life-saving drugs got a big boost this week when a new company, Xaira Therapeutics, emerged from stealth with $1 billion in funding. The San Francisco-based firm aims to create AI models to develop new ways to connect biological targets and engineered molecules to human diseases. Its led by Genentechs former chief scientific officer and was incubated by Foresite Labs and Arch Venture Partnersthe latter of which says Xaira is the largest initial funding commitment the firm has ever made in its 30 years of investing.

Any funding round with a Bespecially for an early-stage companyrepresents a big bet and a lot of hope. Aspirations are particularly high for the use of AI in drug discovery. While the upside of models that can create videos, music, and other creative works is still fuzzy (and in some ways even feel threatening), the societal benefits of breakthroughs in medicine that could help people live longer, healthier lives, and reduce suffering are crystal clear. Its one of the use cases for AI Ive been most interested in for this reason. Even my grandmother, who within the last year or so started hearing about AI on shows like 60 Minutes, tells me that while shes very worried about AI, shes hopeful for what it could do to advance medical research and help people with conditions like Dementia.

These pursuits are still in their very early days, but there are efforts underway, deals being made, and some signs of success. Data analysis firm StartUs Insights identified 463 AI startups working on drug discovery. Pharmaceutical behemoths are also pouring money into AI drug development effortsjust yesterday, Moderna announced a partnership with OpenAI to further incorporate AI into its drug discovery and development processes. Last year, BioNTech and Eli Lilly acquired AI drug discovery startups InstaDeep ($680 million) and XtalPi ($250 million), respectively. Big Tech is also diving in. Microsoft has partnered with Novo Nordisk and Google has released AI tools aimed specifically at helping pharmaceutical and biotech firms advance drug discovery and development. Last month also saw the first AI-targeted and AI-designed drug reach Phase II clinical trialsa drug developed by startup Insilico Medicine to treat idiopathic pulmonary fibrosis.

How AI can bolster drug discovery was also a hot topic at Fortunes Brainstorm AI conferences in San Francisco late last year and last week in London. During a breakout session focused on AIs role in drug discovery and clinical trials at the San Francisco conference, Amgen VP of digital, technology, and innovation Skott Skeller said this is a hinge moment for the biopharmaceutical industry thats changing how drugs are developed.

I often think, and someone once told me, that discovery and bringing drugs to market is all around identifying the cause of biology, poring over the chemistry, and then innovating like crazy to get that therapy to patients, added Rory Kelleher, Nvidias global head of life sciences business development. Think about itAI can be implemented at every stage of that pipeline. And so were thinking about, how do we democratize those capabilities so that we can decrease the failure rate? If you decrease the failure rate, you reduce the cost and time it takes to market. And there are thousands of diseases with unmet needs.

At this point, its important to note that AI isnt a total silver bullet for drug discovery. While AI can drastically speed up finding promising compounds to make drugs, a lot of time-consuming and expensive steps of the process will still be required. For example, drugs will still need to be tested in wet labswhere theyre analyzed using physical samplesgo through clinical trials, and gain FDA approvals. Still, AI has the potential to massively streamline that first step and make it possible to find targets that might not have been discovered otherwise.

AIs potential for health care doesnt stop at drug discovery, however. Researchers are also examining how AI can bolster health care-focused robotics, analyze data to help make the best decisions for a patients care, aid in preventative health, and so many more facets of health care. As covered in Tuesdays Eye on AI, startup Profluent AI this week demonstrated the first successful precision editing of the human genome with a programmable gene editor designed using AI. AI is also already being used widely in diagnosis, where multiple studies have shown it performs faster and more accurately than humans. One AI program for detecting breast cancer reliably interprets patient data 30 times faster than a human doctor and with 99% accuracy.

And with that, heres more AI news.

Sage Lazzaro sage.lazzaro@consultant.fortune.com sagelazzaro.com

Meta stock drops 16% after reporting spiking AI expenses. While the company saw revenue grow by 27% compared to the same period last year, Meta also reported it's increasing spending in order to accelerate its AI roadmap and that it will take years for the company to make money from the technology, Fortunes Alexei Oreskovic reported. Metas capital expenditures for 2024 are now expected to range between $35 billion to $40 billion, an increase over a prior forecast of $30 billion to $37 billion that seems to have investors wary. On the upside, once our new AI services reach scale, we have a strong track record of monetizing them effectively, CEO Mark Zuckerberg said. Microsoft and Alphabetwhose earnings reports will also be all about AIare set to report today after the market closes.

The AI model Microsoft pulled last week because it didnt get a safety test is still easily available. While the company deleted its WizardLM 2 model within hours of making it available after realizing it accidentally missed required safety testing prior to release, the move came too late. According to 404 Media, the model was downloaded during the brief window when it was available and quickly reuploaded to GitHub and Hugging Face, making it available for use anyway. The Github and Hugging Face pages for WizardLM 2 are still down, but it is incredibly easy to find multiple instances of it being reuploaded on the same platforms, reported 404 Media. The story is another example of some of the challenges that open-source AI models pose to safety and regulation.

Nvidia acquires AI infrastructure orchestration and management service Run:ai and AI model optimizer Deci. While terms of the deals havent been disclosed, TechCrunch reported Run.ai sold for $700 million. Founded in 2018, Tel Aviv-based Run:ai helps enterprises get the most out of their cloud computing resources when deploying AI. The move is an indication that Nvidia is looking to try to optimize highly energy-intensive data center computing loads amid rising concerns about the cost (with much of that being electricity) and carbon footprint of the generative AI boom. The Information also reported Nvidia is acquiring another Israeli AI infrastructure startup, Deci, that helps optimize AI models so they can run more efficiently on AI chips. You can read The Information story here.

Cargill leans on regenerative agriculture and generative AI to feed the planetby John Kell

Move over, 'Black Mirror'; the BBC is showing AI can be a force for good in mediaby Molly Flatt

The AI frenzy could fall flat as companies hoard chips without enough data centers to host them by Aroosh Thillainathan (Commentary)

The race for human-AI interaction usage data is onand the stakes are highby Jeroen Van Hautte (Commentary)

April 25: Microsoft and Alphabet report calendar Q1 earnings

May 7-11: International Conference on Learning Representations (ICLR) in Vienna

May 14: Google I/O conference

May 14: Stanford HAIs RAISE Health Symposium

May 21-23: Microsoft Build conference in Seattle

June 5: FedScoops FedTalks 2024 in Washington, D.C.

June 25-27: 2024 IEEE Conference on Artificial Intelligence in Singapore

July 15-17: Fortune Brainstorm Tech in Park City, Utah (Register here.)

July 30-31: Fortune Brainstorm AI in Singapore. (Register here.)

Aug. 12-14: Ai4 2024 in Las Vegas

Digital twins. Tech entrepreneur and investor Reed Hoffman yesterday shared a video to LinkedIn showing him interviewingand later being interviewed byan AI-generated version of himself, his digital twin. He said it was created with a custom GPT-based model trained on 20 years of his content including his podcast, interviews, and books hes written, and it mostly looked and sounded like him. Reed introduced that he was going to challenge ReedAI with some questions to see what it can do, how good the content is, and how close it is to what hed say. The dual interview, however, turned out to be a big softball.

Reed asked the AI Reed to explain one of his books in one sentence for various audiences (the smartest person in the world, 5-year-olds, StarkTrek fans) and in different styles (Jerry from Seinfeld) He asked for advice on his LinkedIn page and what role government should play in regulating AI. Overall, he thought his digital twin used too many buzzwords.

When AI Reed stepped into the interviewer role, human Reed launched into explaining why we need to embrace the AI cognitive industrial revolution and how it will elevate humanity. He also took issue with the fact that, according to him, the vast majority of people are only talking about the risks and not the benefits. Only once we realize how AI will elevate humanity can we bring in the risks, he said.

The longer the video goes on, the less it feels like an experiment and the more it feels like a glaring ad for AI optimism in disguise. Reed is, of course, on the boards of Microsoft and Inflection AI and has invested heavily in many AI startups as a partner at Greylock Ventures. Its a shame because I wouldve been really interested to see the model put to more tests. Either way, seeing a person side-by-side with an AI-generated version of themselves was eerie. Cue the sci-fi comparisons.

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Xaira Therapeutics $1 billion funding round shows the excitement about AI drug discovery - Fortune

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Rabbit R1 hands-on: early tests with the $199 AI gadget – The Verge

There were times I wasnt sure the Rabbit R1 was even a real thing. The AI-powered, Teenage Engineering-designed device came out of nowhere to become one of the biggest stories at CES, promising a level of fun and whimsy that felt much better than some of the more self-serious AI companies out there. CEO Jesse Lyu practically promised the world in this $199 device.

Well, say this for Rabbit: its real. Last night, I went to the swanky TWA Hotel in New York City, along with a few hundred reporters, creators, and particularly enthusiastic R1 buyers. After a couple of hours of photo booths, specialty cocktails, and a rousing keynote and demo from Lyu in which he made near-constant reference to and fun of the Humane AI Pin we all got our R1s to take home. Ive been using mine ever since, and I have some thoughts. And some questions.

From a hardware perspective, the R1 screams kinda meh Android phone. Here are the salient specs: its about three inches tall and wide and a half-inch thick. It weighs 115 grams, which is about two-thirds as much as the iPhone 15. It has a 2.88-inch screen, runs on a 2.3GHz MediaTek MT6765 processor, and has 128 gigs of storage and four gigs of RAM. It has a speaker on the back, two mics on the top, and a SIM card slot on the side right next to the USB-C charging port.It only comes in one color, a hue Rabbit calls leuchtorange but is often known as brilliant orange or luminous orange. Its definitely orange, and its definitely luminous.

At this point, the best way I can describe the R1 is like a Picasso painting of a smartphone: it has most of the same parts, just laid out really differently. Instead of sitting on top or in the back, the R1s camera sits in a cutout space on the right side of the device, where it can spin its lens to face both toward and away from you.

The R1 is like a Picasso painting of a smartphone

After spending a few hours playing with the device, I have to say: its pretty nice. Not luxurious, or even particularly high-end, just silly and fun. Where Humanes AI Pin feels like a carefully sculpted metal gem, the R1 feels like an old-school MP3 player crossed with a fidget spinner. The wheel spins a little stiffly for my taste but smoothly enough, the screen is a little fuzzy but fine, and the main action button feels satisfying to thump on.

When I first got the device and connected it to Wi-Fi, it then immediately asked me to sign up for an account at Rabbithole, the R1s web portal. I did that, scanned a QR code with the R1 to get it synced up, and immediately did a software update. I spent that time logging in to the only four external services the R1 currently connects to: Spotify, Uber, DoorDash, and Midjourney.

Once I was eventually up and running, I started chatting with the R1. So far, it does a solid job with basic AI questions: it gave me lots of good information about this weeks NFL draft, found a few restaurants near me, and knew when Herbert Hoover was president. This is all fairly basic ChatGPT stuff, and theres some definite lag as it fetches answers, but I much prefer the interface to the Humane AI Pin because theres a screen, and you can see the thing working so the AI delays dont feel quite so interminable.

Because theres a screen, the AI delays dont feel quite so interminable

Almost immediately, though, I started running into stuff the R1 just cant do. It cant send emails or make spreadsheets, though Lyu has been demoing both for months. Rabbithole is woefully unfinished, too, to the point I was trying to tap around on my phone and it was instead moving a cursor around a half-second after every tap. Thats a good reminder that the whole thing is running on a virtual machine storing all your apps and credentials, which still gives me security-related pause.

Oh, and heres my favorite thing that has happened on the R1 so far: I got it connected to my Spotify account, which is a feature Im particularly excited about. I asked for Beyoncs new album, and the device excitedly went and found me Crazy in Love a lullaby version, from an artist called Rockabye Baby! So close and yet so far. It doesnt seem to be able to find my playlists, either, or skip tracks. When I said, Play The 1975, though, that worked fine and quickly. (The speaker, by the way, is very much crappy Android phone quality. Youre going to want to use that Bluetooth connection.)

The R1s Vision feature, which uses the camera to identify things in the scene around you, seems to work fine as long as all you want is a list of objects in the scene. The device cant take a photo or video and doesnt seem to be able to do much else with what it can see.

When youre not doing anything, the screen shows the time and that bouncing rabbit-head logo. When you press and hold the side button to issue a command, the time and battery fade away, and the rabbits ears perk up like its listening. Its very charming! The overall interface is simple and text-based, but its odd in spots: its not always obvious how to go back, for instance, and you only get to see a line or two of text at a time at the very bottom of the screen, even when theres a whole paragraph of answer to read.

Rabbits roadmap is ambitious: Lyu has spent the last few months talking about all the things the R1s so-called Large Action Model can do, including learning apps and using them for you. During last nights event, he talked about opening up the USB-C port on the device to allow accessories, keyboards, and more. Thats all coming eventually. Supposedly. For now, the R1s feature set is much more straightforward. You can use the device to play music, get answers to questions, translate speech, take notes, summon an Uber, and a few other things.

That means theres still an awful lot the R1 cant do and a lot I have left to test. (Anything you want to know about, by the way, let me know!) Im particularly curious about its battery life, its ability to work with a bad connection, whether it heats up over time, and how it handles more complex tasks than just looking up information and ordering chicken nuggets. But so far, this thing seems like its trying to be less like a smartphone killer and more like the beginnings of a useful companion. Thats probably as ambitious as it makes sense to be right now though Lyu and the Rabbit folks have a lot of big promises to eventually live up to and not a lot of time to do so.

Photography by David Pierce / The Verge

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Rabbit R1 hands-on: early tests with the $199 AI gadget - The Verge

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