The year 2020 was profoundly challenging for citizens, companies, and governments around the world. As covid-19 spread, requiring far-reaching health and safety restrictions, artificial intelligence (AI) applications played a crucial role in saving lives and fostering economic resilience. Research and development (R&D) to enhance core AI capabilities, from autonomous driving and natural language processing to quantum computing, continued unabated. Baidu was at the forefront of many important AI breakthroughs in 2020. This article outlines five significant advances with implications for combating covid-19 as well as transforming the future of our economies and society.
Artificial intelligence is slaying every second industry. Its powerful tools and robust data analysis made it the best. AI technology serves businesses in a broader spectrum. Since AI is a broader technology; therefore, its business benefits are also infinite. Whether it's about managing business process automation or accruing data analysis insights, AI can do it all. Many worldwide companies are using AI power to better engage with employees and clients.
AI, or artificial intelligence, has taken root in biotech. In this article, we explore its newfound niches in the industry. Artificial intelligence (AI) and machine learning (ML) have become ubiquitous in tech startups, fueled largely by the increasing availability and amount of data and cheaper, more powerful computers. Now, if you are a new tech startup, ML or AI capabilities represent your minimum ticket to enter the industry. Over the past few years, AI and ML have started to peek their heads into the realm of biotech, due to an analogous transformation of biotech data.
People were talking, theorising and experimenting with AI for sure, but what happened in the last decade has made AI more tangible. This was the decade when AI went mainstream. Be it access to world standard courses, platforms, libraries, frameworks, hardware -- everything just fell into place. And, it wouldn't be an exaggeration if one were to say that what was accomplished in the last ten years single-handedly fortified the foundations of our future. In this article, we look at a few of the most important breakthroughs that directly or indirectly have made AI a household name.
Artificial Intelligence (AI) is not just a buzzword, but a crucial part of the technology landscape. AI is changing every industry and business function, which results in increased interest in its applications, subdomains and related fields. This makes AI companies the top leaders driving the technology swift. AI helps us to optimise and automate crucial business processes, gather essential data and transform the world, one step at a time. From Google and Amazon to Apple and Microsoft, every major tech company is dedicating resources to breakthroughs in artificial intelligence. As big enterprises are busy acquiring or merging with other emerging inventions, small AI companies are also working hard to develop their own intelligent technology and services. By leveraging artificial intelligence, organizations get an innovative edge in the digital age. AI consults are also working to provide companies with expertise that can help them grow. In this digital era, AI is also a significant place for investment. AI companies are constantly developing the latest products to provide the simplest solutions. Henceforth, Analytics Insight brings you the list of top 100 AI companies that are leading the technology drive towards a better tomorrow. AEye develops advanced vision hardware, software, and algorithms that act as the eyes and visual cortex of autonomous vehicles. AEye is an artificial perception pioneer and creator of iDAR, a new form of intelligent data collection that acts as the eyes and visual cortex of autonomous vehicles. Since its demonstration of its solid state LiDAR scanner in 2013, AEye has pioneered breakthroughs in intelligent sensing. Their mission was to acquire the most information with the fewest ones and zeros. This would allow AEye to drive the automotive industry into the next realm of autonomy. Algorithmia invented the AI Layer.
If robotics is the technology of the 21st century, rather than biotech, then we have some serious work to do. This week marks the'beginning of the end' of the coronavirus pandemic as a vaccine is deployed in the US. The Wall St Journal recently profiled the incredible effort of Pfizer and BioNTech who pioneered a novel Messenger RNA (mRNA) approach, and got it in production in a tenth to a quarter of the normal vaccine development time. It undoubtedly takes a team, but the WSJ article "How Pfizer delivered a COVID vaccine in record time" highlights the efforts of two men, CEO Albert Bourla and manufacturing chief Mike McDermott, and one woman, head of Pfizer's vaccine research Dr Kathrin Jansen, in this achievement. And the WSJ feature makes more fuss about CEO Albert Bourla's Greek heritage than about Dr Kathrin Jansen's femaleness.
I am sure everyone can attest to this saying. No matter what your task is, practice makes you better at it. In my Machine Learning journey, I have observed nothing different. In fact, I would go so far as to say that understanding a model itself, say, Logistic regression is less challenging than understanding where it should be applied as its application differs from dataset to dataset. Therefore, it is highly important that we practice the end-to-end Machine Learning process on different kinds of data and datasets. The more diverse datasets we use to build our models, the more we understand the model. This is also a great way to keep challenging yourself and explore some interesting data being collected around the world!
Indeed, artificial intelligence (AI), machine learning (ML), deep neural learning, and data science have turned out to be life-changing technologies over the last decade. As we are approaching the end of the year, there is no doubt that year 2020 has been a very challenging and dark year due to pandemic crises. Numerous businesses endured disappointments during COVID-19, while it additionally delivered multiple champs rising in the wreck. Beauhurst in the UK wrote in a story that says 27% of AI-based startups are positively affected by the pandemic, whereas 22% of AI businesses are witnessing a rise in demand for resources. IDC precited that expenditures will exceed $49.2 billion to make Artificial Intelligence more robust than ever in 2020, and AI will help generate revenues up to $22 billion in the year 2020, according to Statista. AI is at the forefront of innovations, and by the end of 2027, the market size of AI will reach $266.92 billion with a 33.2% Compound Annual Growth Rate (CARG). Many organizations are already working with AI and have improved their customer services, including better customer experience, high quality, and productivity.
These eight women are at the forefront of the field of artificial intelligence today. It is a simple truth: the field of artificial intelligence is far too male-dominated. According to a 2018 study from Wired and Element AI, just 12% of AI researchers globally are female. Artificial intelligence will reshape every corner of our lives in the coming years--from healthcare to finance, from education to government. It is therefore troubling that those building this technology do not fully represent the society they are poised to transform.