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Enterprises continued to adopt AI and machine learning in 2021 to address manufacturing and business challenges and improve revenue. Meanwhile, AI startups have experienced significant growth, joining large investments to improve their product offerings and meet the growing demand for AI solutions across the country. Fields In fact, CB Insights Research data show that while the number of equities Funding deals in the global AI space This year is slightly lower than last year (2,450 deals in 2020 against 2,384 deals in 2021), the amount of capital invested has almost doubled to $ 68 billion.
As we move into 2022, here’s a quick look at the milestones that have shaped AI space in the last 12 months.
To begin the year, OpenAI announced DALL-E, a multimodal AI system that generates images from text. The company insists that DALL-E can manipulate and rearrange objects in generated imagery and even create objects that do not exist, such as a cube with a textured porcupine or a chair that looks like an avocado.
In another notable development that month, the U.S. Department of Homeland Security tested AI to identify masked faces; Uber researchers proposed a model that emphasized more positive and polite responses; Salesforce released a framework to test the robustness of the NLP model, and Microsoft and Google’s AI models surpassed human performance on the SuperGlue language benchmark designed to summarize the progress of AI research on various sets of language functions. Researchers at Facebook and NYU also announced the development of a model that predicts how a Covid-19 patient’s condition could develop in four days.
On the business side, multiple AI startups raised funds, including Leswork (525M), TripActions ($ 155M), K Health ($ 132M), Harness ($ 115M), Workato ($ 110M), and iLobby ($ 100M).
In February, Microsoft launched Custom Neural Voice with limited access and released details of the Speller100, an AI system that spell-checks in more than 100 languages, while Google redefined Tensor to help enterprises develop and train 3D models capable of understanding 3D scenes. . Amazon launched the Lookout, a computer vision service to detect defects in manufactured products. The month saw a significant number of equity funding rounds in the AI space, including the most data-laden startup Databrix ($ 1 billion), RPA startup UiPath ($ 750 million), Autonomous trucking startup Plus ($ 200 million), Sentinelvan. ($ 150 million), and Locus Robotics ($ 150 million).
March saw innovative AI announcements from giants such as Facebook, Microsoft, Nvidia and IBM.
First Facebook Announced An AI model that has been trained on one billion parameters and can learn from any random group of images – without the need for any kind of curation or criticism. Nvidia has developed an AI toolkit with Harvard AtacWorks To reduce the cost and time required for complex genome analysis. Finally, IBM Start Cloud-based, AI-powered molecular design platform that automatically detects new molecular structures, and launched by Microsoft Azure Percept, Is a hardware and services platform aimed at making it easier for customers to use AI technology. The biggest funding round of the month went to Dataminr ($ 475 million). Petsnap (300 million), Workfusion ($ 220 million), and Jumio ($ 150 million).
In April, the European Commission announced draft rules for the use of AI, including a ban on applications involving social scoring and stricter protections for high-risk AI applications used in recruitment, complex infrastructure, credit scoring, migration and law enforcement. The proposal also suggests that companies violating the rules could face fines of up to 6% of their global revenue of 30 million euros (36 million USD), whichever is higher.
Facebook claims to have developed an AI model that predicts drug combinations for the treatment of complex diseases, Grid.ai launches a platform to train AI models in the cloud, Cerebras launches AI supercomputing processor with 2.6 trillion transistors, and Huawei G No. Trained Chinese equivalent. -3. On the funding side, SambaNova Systems, the company that develops chips for AI workloads, received the largest investment of $ 676 million. This is followed by Active Campaign ($ 240 million), Vectra AI ($ 130 million), and Gupshup ($ 100 million).
Google hosted I / O 2021 and made some important announcements. The fourth generation of Tensor Processing Units (TPUs) for the largest AI and ML workloads, the language model for dialogue applications known as LaMDA and the Vertex AI powered platform for companies to accelerate the deployment and maintenance of their AI models.
Yelp created AI to identify spammy photos, AWS launched Redshift ML to enable model training with SQL, and Asapp released an action-oriented conversation dataset to help enterprises develop better customer service AI. The Redwood software, cloud-based business, and IT automation solutions provider raised સૌથી 379 million, the biggest round of the month, followed by Asapp ($ 120 million) and Sima.ai ($ 80 million).
In June, IBM launched the open-source Uncertainty Quantification 360, a toolkit focused on enabling AI to understand and communicate its uncertainty, while GitHub launched the AI-powered paired programming tool, Copilot, to help developers write better code. .
Then, following in the footsteps of Amazon, Google Cloud introduced an AI-powered solution to detect defects in manufactured goods. Open AI, meanwhile, claims to reduce the bias and toxic effects of GPT-3, and Mythic launched an AI processor that uses 10 times less power than a typical system-on-chip or graphics processing unit (GPU). The biggest investors of the month were Gong ($ 250 million), Itarable ($ 200 million), Moveworks ($ 200 million) and Verbit ($ 157 million).
Facebook launches open-source Droidlet, NLP and a platform for building robots taking advantage of Computer Vision and Alphabet Intrinsic, a new independent company building software tools for the industrial robotics space.
OpenAI, on the other hand, has made headlines by announcing the dismantling of its robotics segment and plans to focus on areas where more data is readily available. The company’s move comes after years of research into machines that can learn how to perform tasks such as solving Rubik’s Cube. Around the same time, OpenAI’s main competitor DeepMind announced AlphaFold 2, an AI system that performs the complex task of predicting the shape of a protein.
On the business side, enterprise AI development platform DataRobot raised the biggest round of the month (300 million), followed by Gupshup ($ 240 million) and Untethered AI ($ 125 million).
Tesla announced plans to launch AI Humanoid to perform repetitive tasks, OpenAI detailed APIs for translating natural language into code, and Google announced the Soundstream Neural Codec to suppress volume and provide compressed high-quality audio.
Databrix raised 1.6 billion, valued it at $ 38 billion and strengthened its position against Snowflake, while Dataiku raised $ 400 million to help data scientists build their own projected AI models.
Other AI startups that raised major rounds during the same period include corporate cost management company Ramp ($ 300M), call center automation platform Talkdesk ($ 230M), travel-tech platform Hopper ($ 175M), and sales-capable platform Sesmic ($ 170). M) were. ))
Deepmind claims that its AI-powered weather forecasting model performs better than conventional models, while researchers at Bloomberg Quantum Research and Amazon Web Services claim that they successfully train a machine learning model that does not disclose their emissions. Estimates the emissions of such businesses. Google has also released a study showing that Deep Learning can detect abnormal chest X-rays with accuracy that match that of a professional radiologist.
The funding segment was led by workflow automation platform Connexiom ($ 130 million), followed by ContractPodi ($ 115 million).
The North Atlantic Treaty Organization (NATO) – a military alliance of 30 countries bordering the North Atlantic Ocean – announced in October that it would adopt an 18-point AI strategy and launch a future-proofing fund with investments of up to $ 1 billion. Meanwhile, Intel open source AI-powered tool to detect code errors, IBM launched AI service to assist in climate change analysis and Deepmind acquired and open-source a robotics simulator called MuJoCo.
The biggest investments of the month were raised by Fabric ($ 200 million), Hello ($ 136 million) and Domino Data Lab ($ 100 million).
Nvidia and Amazon made headlines, the former officially jumping on the Metawars bandwagon and announcing the Omniverse avatar – a platform that enables users to take advantage of speech AI, computer vision, natural language comprehension and simulation that recognizes human speech and Communicates. Within the real-world simulation and collaboration platform. Tech giant GOT 2021 also announced ReOpt, a framework for developing AI-powered tools for supply chain route planning, as well as modules, “physics-grounded” AI models.
Amazon, meanwhile, has Graviton3 processors for AI prediction, AWS RoboRunner to support robotics applications, and SageMaker Canvas, which enable users to create ML models without typing any code. On the fund side, Nuro ($ 600M), Simpro ($ 350M), Cerebras ($ 250M), Verbit ($ 250M), Lusha ($ 205M), Varkato ($ 200M), and Grammarly ($ 200M) raised the most. Round
The Hungarian government has announced that it has partnered with a former European bank to develop an AI supercomputer that will be used to create a large Hungarian language model. Deepmind, meanwhile, continued its work in the gaming segment and announced the Player of Games, an AI system that could perform well in both full information games (such as chess) and incomplete information games (such as poker). In a separate development, the company also claimed that its AI technology helped uncover new formulas for previously unresolved predictions, as well as connections between different areas of mathematics.
Tipalty, an automated accounts payments platform, received the largest investments of the month at $ 270 million, followed by DialPad ($ 170 million), Snaplogic ($ 165 million), and Smartling ($ 160 million).
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