AI News

AUGUST 14, 2024

Artificial intelligence is changing the world and is projected to have a global market value of $2-4 trillion USD by 2030. AI has crept into every facet of our lives, fundamentally transforming our work and play. On the one hand, the GPU is great at managing parallelism, making it excellent for training AI models.

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AI News

AUGUST 7, 2024

This growth is expected to continue at a rapid pace into the last years of the decade, with Statista predicting the $184 billion industry will grow to nearly $900 billion by 2030. As such, several developers around the world are working on solutions that build sustainable AI models, without big tech firms’ prying eye on our personal data.

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AssemblyAI

MARCH 7, 2024

The use of AI in business applications is exploding, with AI expected to boost U.S. Gross Domestic Product (GDP) by 2030. Generative AI tools like ChatGPT, which had over a million users within its first week of availability , have been especially popular. Will the AI model or LLM and/or partner be able to grow with us?

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AI News

JULY 3, 2024

The tech giant has pledged to operate on 24/7 carbon-free energy by 2030, aiming to set a precedent for the industry. AI technologies , especially those that involve deep learning and large language models, are notoriously energy-intensive. Still, more must be done to optimise AI algorithms’ energy efficiency. .”

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AI News

AUGUST 27, 2024

This move comes amidst an anticipated boom in the Asia-Pacific generative AI software market. ABI Research forecasts a surge in revenue from $5 billion this year to a staggering $48 billion by 2030. These models are designed to possess a more thorough grasp of local laws, regulations, and cultural intricacies.

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IBM Journey to AI blog

APRIL 22, 2024

.” Design, adopt and train AI with attention to sustainability The European Commission estimates that over 80% of all product-related environmental impacts are determined during their design phase. IBM’s concrete actions to support AI sustainability AI creation requires vast amounts of energy and data.

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NVIDIA

NOVEMBER 14, 2024

A generative AI model can now predict the answer. and NVIDIA led the development of GluFormer , an AI model that can predict an individual’s future glucose levels and other health metrics based on past glucose monitoring data. trillion globally by 2030. billion people.

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AssemblyAI

JANUARY 12, 2024

AI applications are set to contribute $15.7 trillion to the global economy by 2030, with 35% of businesses having already integrated AI technology.    AI Speech-to-Text, a component of Speech AI, uses cutting-edge Automatic Speech Recognition (ASR) models to transcribe and process speech into readable text.

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IBM Journey to AI blog

OCTOBER 17, 2023

The Paris Agreement on climate change also mandates that these industries will need to reduce annual emissions by 12-16% by 2030. Generative AI , when applied to industrial processes, can improve production yield, reduce quality variability and lower specific energy consumption (thereby reducing operational costs and emissions).

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Aiiot Talk

MAY 3, 2023

That’s where generative AI comes in — optimizing your online content to put it before as many eyes as possible. Generative AI content is getting better every day. AI models understand search engine optimization (SEO), conversions and bounce rates so you don’t have to. A recent study predicted AI will contribute $15.7

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Aiiot Talk

OCTOBER 5, 2024

Combined with sensors, AI models discover demand patterns and predict how to optimize resources for the future. Models achieve this by simulating the impact of renewable energy while considering their potential expansion. However, innovation in the AI space is critical for balance.

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Unite.AI

JULY 25, 2024

According to MarketsandMarkets , the AI market is projected to grow from USD 214.6 billion by 2030 at a Compound Annual Growth Rate (CAGR) of 35.7%. One new advancement in this field is multilingual AI models. Integrated with Google Cloud's Vertex AI , Llama 3.1 billion in 2024 to USD 1339.1 Meta’s Llama 3.1

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AI Weekly

JULY 4, 2024

marktechpost.com AI coding startup Magic seeks $1.5-billion startup developing artificial-intelligence models to write software, is in talks to raise over $200 million in a funding round valuing it at $1.5 marktechpost.com AI coding startup Magic seeks $1.5-billion billion valuation in new funding round Magic, a U.S.

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Unite.AI

MAY 13, 2024

Microsoft's advanced computational infrastructure and AI platform services will enable organizations of all sizes, from startups to multinational corporations, to develop, deploy, and leverage proprietary and open-source AI models and applications.

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AI Weekly

APRIL 27, 2023

yahoo.com Global Industrial Robotics Market to 2030 The global industrial robotics market size is expected to reach USD 60.56 billion by 2030, expanding at a CAGR of 10.5% from 2023 to 2030. yahoo.com Global Industrial Robotics Market to 2030 The global industrial robotics market size is expected to reach USD 60.56

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Unite.AI

DECEMBER 13, 2023

The need for explainability in AI algorithms becomes important in meeting compliance requirements. Organizations must showcase how AI-driven decisions are made, making explainable AI models important. These models clearly understand the decision-making process, facilitating regulatory compliance audits.

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Unite.AI

DECEMBER 17, 2024

In clinical trials, Unlearns AI models generate an individual digital twin for each patient before they are randomly assigned to the trial. Since many of these companies next drug wont enter the market until 2029 or 2030, theyre eager to speed up trial timelines with innovations like AI.

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IBM Journey to AI blog

APRIL 18, 2023

Across industries, the exponential growth of technologies such as hybrid cloud, data and analytics, AI and IoT have reshaped the way businesses operate and heightened customer expectations. Businesses are now entering an even greater digital era marked by broader applications of AI, including generative AI models.

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Unite.AI

MAY 28, 2024

Why In-house AI Chip Development? Making AI Computing Energy-efficient and Sustainable The current generation of AI chips, which are designed for heavy computational tasks, tend to consume a lot of power , and generate significant heat. This has led to substantial environmental implications for training and using AI models.

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IBM Journey to AI blog

DECEMBER 20, 2023

Manage a range of machine learning models with watstonx.ai Nearly everyone, from developers to users to regulators, engages with applications of machine learning at some point, whether they interact directly with AI technology or not. And the adoption of ML technology is only accelerating.

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Unite.AI

JULY 12, 2024

Initially, options were limited to models like OpenAI's ChatGPT, but now the market includes a variety of models such as GPT-4, GPT-4o, Anthropic’s Claude, Google’s Gemini, Meta’s LLaMA, and others like Falcon, Mistral, and Mixtral. Between 2024 and 2030, the AI market is expected to grow at a CAGR of 36.6%

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IBM Journey to AI blog

SEPTEMBER 24, 2024

The survey also found that consumer adoption is at a tipping point , with industry executives expecting EVs to account for 40% of car sales by 2030, largely due to EVs becoming cheaper. Over 250,000 electric vehicles (EVs) were sold every week last year globally, according to a recent survey from the International Energy Agency.

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Unite.AI

NOVEMBER 27, 2024

From Static Data to Real-Time Strategic Agility AI-led platforms are a leap forward from static reporting and periodic insights. According to McKinsey , by 2030, many companies will be approaching “ data ubiquity ,” where data is not only accessible but also embedded in every system, process, and decision point.

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Unite.AI

APRIL 3, 2024

Their extraordinary parallel processing power ensures exceptional speed when training AI models on large datasets. Additionally, GPUs are adept at executing matrix operations, a fundamental requirement for many AI algorithms due to their optimized architecture for parallel matrix computations.

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IBM Journey to AI blog

FEBRUARY 23, 2024

The value of conversational AI According to Allied market research (link resides outside IBM.com), the conversational AI market is projected to reach USD 32.6 billion by 2030. Ensuring fairness and inclusivity in conversational AI is crucial.

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AWS Machine Learning Blog

DECEMBER 4, 2024

A recent study by Telecom Advisory Services , a globally recognized research and consulting firm that specializes in economic impact studies, shows that cloud-enabled AI will add more than $1 trillion to global GDP from 2024 to 2030. Organizations are looking to accelerate the process of building new AI solutions.

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NVIDIA

AUGUST 26, 2024

In the Asia-Pacific region alone, generative AI software revenue is expected to reach $48 billion by 2030 — up from $5 billion this year, according to ABI Research. The microservices, available with NVIDIA AI Enterprise , are optimized for inference with the NVIDIA TensorRT-LLM open-source library.

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NVIDIA

SEPTEMBER 19, 2024

For example, Equinix is the first global data center provider to publish targets to become climate neutral using 100% renewable energy by 2030. Currently, renewables make up 96% of the energy it uses, giving customers access to technologies such as NVIDIA DGX systems for sustainable, private AI.

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IBM Journey to AI blog

APRIL 18, 2024

Most experts categorize it as a powerful, but narrow AI model. Current AI advancements demonstrate impressive capabilities in specific areas. A key trend is the adoption of multiple models in production. This multi-model approach uses multiple AI models together to combine their strengths and improve the overall output.

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NVIDIA

OCTOBER 22, 2024

Fueling Agentic AI With Enterprise Data Across industries and job functions, generative AI is transforming organizations by turning vast amounts of data into actionable knowledge, helping employees work more efficiently. A key technique for achieving this is RAG , which allows AI to tap into a broader range of data sources.

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NVIDIA

DECEMBER 11, 2023

AI alone could contribute more than $15 trillion to the global economy by 2030, according to PwC. And if you’re working in AI and accelerated computing right now, NVIDIA stands ready to help. Databricks offers an industry-leading data platform for machine learning, while Cohere provides enterprise automation through AI.

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Unite.AI

SEPTEMBER 19, 2024

Environmental Costs On the other hand, we can’t ignore the environmental cost of AI itself. The training and operation of large AI models consume enormous amounts of energy, contributing to increased power demands and, by extension, carbon emissions.

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IBM Journey to AI blog

JULY 11, 2023

According to Statista , the artificial intelligence (AI) healthcare market, valued at $11 billion in 2021, is projected to be worth $187 billion in 2030. In some instances, such as identifying cardiomegaly in chest X-rays, they found that a hybrid human-AI model produced the best results.

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Unite.AI

JULY 26, 2024

Along the way, the carbon dioxide emissions of data centers may be more than by the year 2030. AI's Power Consumption Trends and Challenges AI's rapid advancement has led to an exponential increase in computational demands. Training complex AI models, particularly deep learning models, requires significant computational power.

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IBM Journey to AI blog

OCTOBER 20, 2023

AI plays a pivotal role as a catalyst in the new era of technological advancement. PwC calculates that “AI could contribute up to USD 15.7 trillion to the global economy in 2030, more than the current output of China and India combined.” ” Of this, PwC estimates that “USD 6.6 trillion in value.

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Unite.AI

DECEMBER 9, 2024

By 2027, training and maintaining these AI systems alone could consume enough electricity to power a small country for an entire year. And the trend isnt slowing down: over the last decade, power demands for components such as CPUs, memory, and networking are estimated to grow 160% by 2030, according to a Goldman Sachs report.

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AssemblyAI

OCTOBER 10, 2023

The speech and voice recognition market is expected to grow to nearly $60 billion by 2030 , thanks to recent advances in AI research that have made speech recognition models more accurate, accessible, and affordable than ever before. 

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