Is It Possible for AI to Advance Our Understanding of the Natural World?

In his welcoming remarks, National Academy of Medicine President Victor Dzau emphasized that AI is helping science in many ways, including by predicting outcomes from data, simulating complicated scenarios, and finding relevant trends in huge datasets.

According to a report in the Nature journal on December 21st, researchers from Carnegie Mellon University made history by creating the first ever non-organic intelligent system to conceive, plan, and carry out a chemistry experiment.

Read:The Top AiThority Articles Of 2023

Features

Assistant Professor of Chemistry and Chemical Engineering Gabe Gomes, along with Daniil Boiko and Robert MacKnight, who were doctoral students in chemical engineering, created the system known as Coscientist. The complete spectrum of the experimental procedure is executed with a simple, plain English prompt using large language models (LLMs), such as OpenAI’s GPT-4 and Anthropic’s Claude.

The research team proved in their Nature paper that Coscientist can do things like plan the chemical synthesis of known compounds, navigate hardware documentation, control liquid handling instruments, complete scientific tasks involving multiple hardware modules and diverse data sources, and solve optimization problems by analyzing previously collected data. They also used the documentation to execute high-level commands in an automated lab called a cloud lab.

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Cloud Lab

In early 2024, the first academic cloud lab will be opened by Carnegie Mellon in collaboration with ECL. More than 200 pieces of equipment will be available to academics and collaborators at Carnegie Mellon University through the Cloud Lab. Gomes intends to keep working on the technologies detailed in the Nature article so that they can be utilized by the Carnegie Mellon Cloud Lab and other autonomous research facilities down the road.

Additionally, a coscientist essentially unlocks the “black box” of research. By tracking and documenting each stage of the research process, the system ensures that the work can be easily reproduced.

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Microsoft, OpenAI’s Principal Supporter, Is Building And Testing A Special AI Chip

Microsoft, one of OpenAI’s biggest investors, has built a gigantic supercomputer using 10,000 Nvidia GPUs to build its generative artificial intelligence capabilities from 2020. Microsoft, OpenAI’s principal supporter, is building and testing a special AI chip, according to The Information. Plans may indicate increasing distance between the companies.

Specialized AI chips have been more popular since ChatGPT launched last year. The latest generative AI technology requires AI accelerator chips to learn and run. One of the few chipmakers that make effective AI chips, Nvidia leads the industry.

Running ChatGPT costs the company a lot. ChatGPT would need $48.1 billion in GPUs and $16 billion in processors a year to operate at a tenth of Google’s search volume.

Read latest blogs: Navigating The Reality Spectrum: Understanding VR, AR, and MR

OpenAI Is Considering Creating Its Own AI Chips

According to sources, ChatGPT’s parent firm, OpenAI, is considering creating its own AI chips and investigating a potential acquisition target. According to Reuters, internal conversations indicate the corporation has not decided to proceed.

According to sources, OpenAI has discussed ways to address its scarcity of pricey AI chips since last year. Options for AI chip development include constructing its own, collaborating with other chipmakers like Nvidia, and expanding its supplier base outside Nvidia.

CEO Sam Altman prioritizes buying more AI processors. He has voiced concerns about the shortage of graphics processing units, a market controlled by Nvidia, which holds over 80% of the global market for AI chips. Altman cites a shortage of powerful processors that power OpenAI’s software and the “eye-watering” expenses of running its hardware to support its initiatives and goods as reasons to get more chips.

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Big IT Firms Have Built Their Own Processors With Limited Success

It is unclear if OpenAI will design a proprietary chip. Industry veterans say it would be a big strategic undertaking and a huge investment that may cost hundreds of millions of dollars a year. Investing resources would not guarantee success for OpenAI. A chip firm acquisition could speed up OpenAI’s chip development, as it did for Amazon.com and Annapurna Labs in 2015.

One source said OpenAI examined due diligence on a prospective purchase candidate. If OpenAI pursues a proprietary chip, including an acquisition, it may take years, leaving it reliant on commercial sources like Nvidia and AMD.O.

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Big IT corporations have built their own processors for years with limited success. Meta decided to scrap some of its AI chips due to concerns with its bespoke chip effort, as reported by Reuters. The Facebook owner is developing a new processor for all AI tasks.

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Gen AI Will Replace Many Technical Talents, Elevating Soft Skills in the Workplace

70% of workers use Generative AI (GenAI) at work, yet just half get employer guidance. While experts predict a widespread impact, only 7% of workers anticipate job loss due to GenAI.

Adecco Group Released Data From Its Fourth Annual Global Study, Global Workforce of the Future Report 2023.

• Limited access to GenAI training and adoption rates exist, favoring CEOs, high-earners, and advanced degree holders.
• Focusing on 30,000 workers from 23 nations, the research explores the world of work from entry-level to senior executives across several industries.
• This year’s survey assessed worker readiness and sentiment toward GenAI’s expected effects, presenting recommendations to future-proof the workforce.
• GenAI is widely used, yet training is unequal.
• Organizations must implement large-scale upskilling efforts to close the gap.
• Develop unique human skills.
• Workers need coaching, leadership development, and training to improve these talents.
• Upskilling is the preferred workplace benefit.
• To retain and engage workers, organizations must enable lifelong learning and internal mobility, which are more significant than salary when deciding to stay or leave.
• The economy is increasingly shifting from job-based to skills-based. Organizations may maintain worker skills by investing in development at all levels.

Read special blogs: What Are B2B Robo-Advisors?

Statistics That Might Surprise You

• Less than half of businesses provide GenAI instruction, even though 70% of workers use it. Only 51% of secondary school graduates use GenAI, compared to 76% of degree holders. Leaders receive more AI instruction than non-managers (66% vs. 32%). Fortunately, 57% of workers want AI training, allowing firms to meet them where they are.
• Sixty-two percent of workers like AI, driving adoption. While only 7% of people fear losing their jobs due to GenAI, the latest predictions suggest that AI will disrupt over 300 million jobs globally.
• Emotional intelligence, empathy, and interpersonal skills will be more important than GenAI in the workplace, according to 61% of workers.
• Workers planning to stay with their current employment for the next year increased by 10% from 61% in 2022 to 73% in 2023. Most only want to stay if they can get training and promotion.
• Fifty-six percent of workers think their talents can be used elsewhere, and most want more control over their upskilling. Tech, professional, and financial services workers are most confident in their transferability, while insurance, automobile, and defense workers are least.
• Burnout affects 65% of workers. At 68%, managers are the most worn out, and 44% say they took on extra responsibility after redundancies. Also, 78% of workers don’t feel supported to take their full annual vacation.

Read : AI and Machine Learning Are Changing Business Forever

Nations covered:

Australia
Belgium
Countries: Brazil, China
Nordic countries: Denmark, Finland
France
Countries: Germany, Greece, Italy, Japan
Countries: Mexico, Netherlands
Norway
Poland
Romania
Slovenia
Countries: Spain, Sweden
Switzerland
Turkey – UK
USA

Read latest blogs: Navigating The Reality Spectrum: Understanding VR, AR, and MR

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AI serves as the backbone of numerous industries, but there’s one thing even more crucial – AI engineers. These tech wizards, responsible for developing and managing AI systems, are in high demand, making them prized assets for companies in diverse sectors.

What Does an AI Engineer Do?

They do all sorts of amazing stuff like developing, programming, training, and deploying AI models. According to a recent survey, 86% of companies say AI is now mainstream in their businesses, so these engineers are becoming super important.

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Now, don’t confuse them with data scientists, though. Data scientists are all about digging out those valuable insights from big datasets. But our AI engineers come from an IT background and have a mission to create algorithms for AI apps and make them play nicely with the rest of the company’s tech.

Sometimes they might go by different names, like machine learning (ML) engineer for those focused on algorithms, AI architect for those integration whizzes, and AI developer for the code gurus. Whatever the title, they’re the rockstars making AI work wonders!

Skills Required to Become an AI Engineer

To excel in this cutting-edge field, you’ll need to master a range of essential skills. From programming languages and machine learning to ethics and innovation, let’s explore the key qualifications you’ll need to become a top-notch AI engineer.

AI Programming Languages

When it comes to AI, programming languages are your bread and butter. Python is the hottest choice in town, known for its versatility and extensive AI libraries like TensorFlow and PyTorch. So, brush up on your Python skills and get ready to code your way into the AI revolution.

AI Algorithms

AI algorithms are the heart of every intelligent system. As an AI engineer, you need to understand various algorithms like decision trees, k-nearest neighbors, and support vector machines. These algorithms will be your secret sauce to solving complex problems in AI applications.

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AutoML

Automated Machine learning or AutoML is the backbone of training your AI models using disparate data. Dive deep into supervised and unsupervised learning, reinforcement learning, and even transfer learning. Familiarize yourself with data preprocessing and feature engineering to unleash the true potential of machine learning algorithms.

Deep Learning

Get ready to unleash the power of neural networks! Deep learning is the magic behind computer vision, natural language processing, and more. With convolutional neural networks (CNNs) and recurrent neural networks (RNNs) in your arsenal, you’ll be ready to tackle the most challenging AI projects.

Natural Language Processing (NLP)

NLP is all about making AI understand human language. Dive into techniques like sentiment analysis, named entity recognition, and language modeling. With NLP, you can build smart chatbots, language translators, and even AI-powered content analysis tools.

Data Analysis Skills

Data is the lifeblood of AI. Learn how to collect, clean, and analyze data effectively. Skills in data visualization and exploratory data analysis will help you gain insights from raw data and make informed decisions.

Big Data Technologies

AI engineers deal with massive datasets, so it’s crucial to familiarize yourself with big data technologies like Apache Hadoop, and Spark. These tools will help you process, store, and manage large-scale data efficiently.

Cloud Computing Knowledge

In the age of cloud computing, AI engineers need to be comfortable with platforms like AWS, Google Cloud, and Microsoft Azure. Embrace cloud-based services for scaling your AI applications and managing resources effectively.

AI Model Deployment

Building AI models is only half the battle. You’ll also need to deploy them in the real world. Familiarize yourself with containerization tools like Docker and deployment platforms like Kubernetes to put your AI creations to work.

AI Ethics and Responsible AI

As AI plays an ever-expanding role in our lives, understanding AI ethics and responsible AI practices is essential. Consider the social implications of AI technologies and strive to develop AI systems that are fair, transparent, and bias-free.

Neural Networks

Neural networks are the backbone of deep learning. Become adept at building, training, and fine-tuning neural networks to tackle a wide range of AI challenges.

Computer Vision

The field of computer vision is revolutionizing various industries in ways that were never thought possible. By acquiring skills in image recognition, object detection, and image segmentation, you can create robust AI applications that can process visual data effectively.

AI Research and Innovation

Stay up-to-date with the latest AI research and innovations. Follow leading AI conferences like NeurIPS and CVPR to learn from experts and discover groundbreaking ideas.

Problem-Solving Abilities

AI engineers are problem solvers at heart. Sharpen your critical thinking and problem-solving skills to tackle complex challenges and devise creative solutions.

Mathematical and Statistical Skills

Math and stats form the foundation of AI algorithms. Brush up on linear algebra, calculus, and probability to comprehend the inner workings of AI models.

Conclusion

From mastering Python and deep learning to understanding NLP and responsible AI, this exciting field offers a vast landscape of opportunities. The important thing is to keep learning, experimenting, and staying curious as AI continues to evolve.

The post 15 Important Skills Required to Become an AI Engineer in 2023 appeared first on AiThority.

Parenting is beautiful, joyous, and overwhelming at times. When you embrace parenthood, the biggest task that you can ever imagine is putting your ward to sleep. It’s true, putting kids to bed is a huge challenge, especially when they request a new and interesting bedtime story every night. But thanks to artificial intelligence and Oscar, this just became a cakewalk.

A Vienna-based firm has streamlined the process of customized storytelling by developing an AI-powered app called Oscar. The AI-powered app allows children and their families stories to generate customized bedtime stories in a fun, engaging, and illustrious experience.

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The special part, users can even make their own kids, friends, or parents the main character with the use of cutting-edge AI. Users will have complete control over the story’s setting, protagonists, and plot. You can even include members of your family and friends.

The software was initially created for a young kid named Oscar who thought traditional bedtime stories were dull and preferred to be the protagonist of his own tale. Since then, more than 1000 stories have been created, and the app is now accessible on the Play Store and App Store in 5 different languages.

Oscar is ideal for parents who wish to make their children’s bedtime experience unique and filled with creativity. Turn your child’s bedtime routine into a magical journey that will inspire imagination and generate enduring memories.

• Your children can be the protagonists of their very own personalised tale by choosing special characters and careers that give the adventure a distinctive touch.
• Stories created by Oscar include valuable life lessons in addition to being entertaining.
• The app provides a wide selection of stories that cover various topics and emotions like empathy, kindness, courage, honesty, and responsibility.
• Children can learn moral lessons with Oscar in an exciting and engaging way.
• The initial stories are free. A nominal price per story following the trial is applicable.

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After collaborating closely with parents, Oscar was developed with the aim to offer both entertaining and useful instructional material. The stories were carefully crafted to be kid-friendly and devoid of any objectionable material. The stories are accompanied by stunning pictures that spark children’s creativity and imagination.

Without having to spend hours looking for the ideal story, Oscar allows you to enjoy the rush of reading a brand-new book. Making it a genuinely unique experience, your youngster can even include their parents and friends in the story. Every time you read a story to your child, you can invent a new one and have fun doing it.

Oscar is simple to operate and ideal for working parents who want to give their kids a special bedtime experience.

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[To share your insights with us, please write to sghosh@martechseries.com].

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ChatGPT has had a massive global impact since its launch with many countries using it to stay relevant technologically. Despite its vast popularity, Microsoft-backed OpenAI’s chatbot may not be available in some countries due to legal, and regulatory reasons or network infrastructure limitations. However, countries are thinking big and finding ways to stay ahead in innovation and are excited to introduce ChatGPT into their lives.

Hong Kong is geared to build its own AI-based ChatGPT-like platform to match the global technological advancements, according to the city’s technology chief. Sun Dong, Secretary for Innovation, Technology and Industry revealed in an article that authorities, this year, will organize a public consultation to establish an artificial intelligence (AI) supercomputing center to invite the finest minds as well as technology enterprises to Hong Kong.

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A Special Task Force to Catch Up With Global Technologic Advancements

Earlier, Sun had mentioned his ambitious vision to build a special task force that will recommend ways to navigate the disruption brought on by ChatGPT. It will include the option of using legislation to regulate the technology.

Impressed by the chatbot, Sun admitted to having ‘tried out ChatGPT and found it really good’. He further added that this revolutionary AI tool has inspired them to reallocate their resources to study AI to match the development in global technology.

Launched in November 2022, ChatGPT was unveiled in November and within two months amassed 100 million users, making it the fastest-growing consumer app in history.

Trained with vast information from the internet using machine learning algorithms, ChatGPT is known for generating humanlike text, writing essays, and jokes, and basically providing text on a wide range of topics including science, and sports, among others.

An Unbiased Approach

Sun emphasized their unbiased and neutral approach towards the chatbot and how the government is inclined towards embracing this revolutionary technology and developing a similar home-grown AI-based platform.

Sun said the authorities understood how ChatGPT was backed by a robust AI platform that was a powerful combination of software and hardware. The task force will be exploring different methodologies to deal with the challenges the technology will bring forth.

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ChatGPT – a Polarized Response

It was revealed that a Singapore government agency was building an enhanced productivity tool based on ChatGPT enabling civil servants to generate reports and write speeches with the chatbot’s help.

Last month, the University of Hong Kong and Baptist University stopped their students from using ChatGPT and seek help in completing their coursework. Speaking about the ban, Sun said,

“I keep an open mind on this technology and totally understand why the universities have taken this approach. Actually, even Stanford University in the United States has banned its application.”

Lu Xinning, deputy director of Beijing’s liaison office in Hong Kong, stated that the development of ChatGPT had motivated the authorities to explore new plans to introduce similar AI tools.

Hong Kong Government’s Initiative to Make it an I&T Hub

Hong Kong government initiative worth more than HK$10 billion (US$1.27 billion) is focused on turning the city into an international innovation and technology (I&T) hub. Authorities are also planning to assess the feasibility of the creation of an AI Supercomputing Centre.

As the head of the Digital Economy Development Committee, Financial Secretary Paul Chan Mo-po will be responsible to promote the AI industry in Hong Kong, including the supercomputing center.

To get a better understanding of the resources required for the project, Sun added that the Hong Kong government will organize a public consultation and allocate dedicated staff for the same.

“Hong Kong has started very late in the field of AI supercomputing compared with Shenzhen and Zhuhai. That’s why we need to push for the development of a digital economy and smart city,” he said. “We hope to set up this supercomputing center to attract top-notch talent and enterprises from around the world to come to Hong Kong.”

Under the government’s magnanimous HK$200 budget to boost the “iAm Smart” platform, a mobile app for government services aims to

• Public works projects will be digitalized by next year.
• Single portal for online government services to be introduced in 2025.

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Ethical and Effective Use of AI for Students  

In an announcement, the International Baccalaureate (IB) says artificial intelligence won’t be banned in its alternative academic qualifications. The IB said,

“The simplest reason is that it is an ineffective way to deal with innovation. We expect all our schools to discuss the various types of academic misconduct with their students … help them support their students on how to use these tools ethically in line with our principles of academic integrity.” 

• IB recognized the need to tweak its educational programs and assessment practices to enable students to ethically and effectively use the new AI tools.
• At the same, IB stressed clearly stated that the software used must be included in the text body and properly credited to the bibliography. Additionally, an essay that mainly consists of quotes will not be marked with an IB mark scheme, the organization said.
• To ensure transparency between students and teachers, Matt Glanville, head of assessment principles and practice at the IB, informed that regular check-in meetings between students and teachers are mandatory in required the coursework.
• Teachers have the opportunity to enquire students about their ideas and to discuss their arguments to ensure that the student work reflects their true understanding.

Currently, there are more than 30 schools in Hong Kong that are offering the IB diploma program, till now close to 2,200 have appeared for the exams in 2022.

Source: SCMP

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CommBox, a SaaS-based omnichannel autonomous customer communications platform, announced its expansion into the US market with the opening of an office in Boston, Massachusetts.

Additionally, CommBox has integrated Amazon Connect into its AI-driven omnichannel communication platform that will enable enterprise customer service centers to manage both voice and textual assistance across digital channels. This will include SMS, Facebook Messenger, Instagram, Twitter, WhatsApp, and other channels on the same platform.

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Enterprises have slowly begun shifting to digital communication but are still hesitant to reduce their call center loads, as alternative solutions still often don’t meet customer needs and expectations. Solutions such as bots or FAQs on websites often alienate users due to a lack of understanding of a user’s intent and struggle to answer the most basic of questions.

CommBox’s AI-powered autonomous customer communications platform provides a better end-user experience for their customers while maximizing call center employee output. The one-stop solution fields the questions that can be answered by the automated system, thereby freeing up valuable time for employees to focus on more urgent or complicated customer inquiries.

The Amazon Connect – How will it Help?

Now, with the integration of Amazon Connect for voice-based communication, enterprises will:

• Control all customer communications via the same platform.
• Make and record calls, and communicate on messaging channels.
• The sophisticated auto-assignment mechanism prevents agent overload and redirects conversations to the most available agents will now apply to both forms of communication, text-based and voice. This will free up backlogs that often occur at call centers and lower caseloads for agents.

Tom Reardon, Managing Director at PSG, stated,

“CommBox is expanding its footprint into the US at a time when an aggregated full-service communication platform is needed by companies dealing directly with consumers. CommBox’s solution has proven itself in other markets and now with the company expanding to the US, we are confident that the company will continue its growth and commercial success.”

CommBox’s new office in Boston, MA will focus on sales and development and will be led by Josh Newall, Head of Sales, Americas at CommBox.

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Yaniv Hakim, CEO and co-founder of CommBox added, 

“We are thrilled to be launching CommBox in the US at such a critical time for global businesses. With our AI-powered communications platform, now integrated with Amazon Connect, we are able to provide customers with an automated solution that combines voice and messaging capabilities into their service representative offering, significantly increasing efficiency in call centers and easing the burden on customer service teams.”

CommBox is revolutionizing how brands connect with customers by eliminating the old paradigm of live agent intervention for every customer engagement, replacing it with improved automated CX.

With the first and only AI-driven autonomous customer communication platform, CommBox enables hundreds of the world’s leading brands to deliver a complete, smart, and personalized experience, using their suite of digital channels, and to automate human-driven operations and the bulk of repetitive inquiries with powerful AI and deep automation.

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Dream by WOMBO, the popular text-to-image AI art generator, has become the first of its kind to add image editing with text to a mobile platform, changing once again how people create art through the magic of AI.

WOMBO Studios Inc is a leading studio for Generative AI, responsible for the chart-topping apps WOMBO and Dream.

With this launch, Dream by WOMBO is the first mobile application of its kind to introduce this level of editing, period. The consecutive dialogue of the editing with text process gives users an easy and robust experience to speed up and expand their creativity.

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Message From the Founder

Ben-Zion Benkhin, the founder of WOMBO says that it feels surreal yet humbling to realize the whopping 1.5 billion pieces of artwork created by Dream. And, he is thrilled to know the number of people dependent on WOMBO’s Dream every day is incredible.

“We’ve been absolutely humbled by the 60 million downloads and 1.5 billion artworks made with Dream. The scale is crazy for me to think about! We’re blown away by how many people use Dream every day and how much they depend on it. We love our users and want to keep pushing the limits of what AI can do for them.”

Speaking about the new feature of image editing through a text, Benkhin says he received feedback from the initial users. Some of them clearly mentioned how they would love to have some kind of customization.

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“Our early users told us they wanted more customization options, and now with the new release, they can tweak their images to their heart’s content. No more starting from scratch, just ask and you shall receive! From X to Y to Z.”

“These changes Dream from being a starting point for creativity to a more full-fledged professional creator platform. This is a big step towards AI helping people articulate what is in their head and getting it, without settling for something that is just close.

With the addition of the new feature, Dream has gone from being an amateur starting point to graduating into a full-fledged platform. With this new feature, the creative urge will be sated.

Dream by WOMBO is now available for download on the App Store and Google Play.

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Brain research and advocacy non-profit Cohen Veterans Bioscience (CVB) announced the publication of results from its data sciences research program.

As part of the drive toward precision medicine, there has been an increased focus on the discovery of biological markers and quantitative techniques to serve as diagnostic and prognostic tools for individual patients, and for monitoring the progression or remission of the disease.

Parkinson’s disease is the second most common neurodegenerative disease and its prevalence has been projected to double over the next 30 years. While an accurate diagnosis of Parkinson’s disease remains challenging, the field is evolving. From a clinical to a biomarker-supported diagnostic entity, for which earlier identification is possible, different subtypes with diverse prognosis are recognized, and novel disease-modifying treatments are in development.

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Parkinson’s Progression Markers Initiative: Review of the current state of affairs

Published in Frontiers In Aging Neuroscience, the article is titled “Machine learning within the Parkinson’s progression markers initiative: Review of the current state of affairs.”

• It presents results from analysis of more than a decade’s worth of longitudinal and multi-modal data from patients, healthy controls, and at-risk individuals, including imaging, clinical, cognitive, and ‘omics’ biospecimens.
• Led by Cohen Veterans Bioscience with support from The Michael J. Fox Foundation, it provides an overview of the application of machine learning methods to analyzing data from the PPMI cohort.
• The review explores the potential to combine multiple modalities to gain a broader perspective on biological mechanisms of patient heterogeneity while uncovering a striking lack of overlap between findings across studies.

Lee Lancashire, Principal Investigator of the study and Chief Information Officer at CVB, said:  

“The pioneering PPMI study has generated a unique and rich dataset that will shed light on pathological pathways, subtypes and progression of Parkinson’s Disease. This work was a critical first step in our mission to discover and develop tests and treatments for neurodegenerative diseases.”

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“With Artificial Intelligence (AI) playing a more prominent role in biomedical research, we wanted to understand the existing gaps and untapped resources that would then enable us to make recommendations to the field that may guide future discovery efforts that strive to unlock better outcomes across these complex neurological diseases.”

This work was jointly funded by Cohen Veterans Bioscience (COH-0003) and a generous grant from the Michael J. Fox Foundation as part of the Parkinson’s Progression Markers Initiative (PPMI) (MJFF-019075). Data used in the preparation of this article were obtained from the Parkinson’s Progression Markers Initiative (PPMI) database.

[To share your insights with us, please write to sghosh@martechseries.com].

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