We propose DeepAries , a novel deep reinforcement learning framework for dynamic portfolio management that jointly optimizes the timing and allocation of rebalancing decisions. Unlike prior reinforcement learning methods that employ fixed rebalancing intervals regardless of market conditions, DeepAries adaptively selects optimal rebalancing intervals along with portfolio weights to reduce unnecessary transaction costs and maximize risk-adjusted returns. Our framework integrates a Transformer-based state encoder, which effectively captures complex long-term market dependencies, with Proximal Policy Optimization (PPO) to generate simultaneous discrete (rebalancing intervals) and continuous (asset allocations) actions. Extensive experiments on multiple real-world financial markets demonstrate that DeepAries significantly outperforms traditional fixed-frequency and full-rebalancing strategies in terms of risk-adjusted returns, transaction costs, and drawdowns. Additionally, we provide a live demo of DeepAries at https://deep-aries.github.io/, along with the source code and dataset at https://github.com/dmis-lab/DeepAries, illustrating DeepAries' capability to produce interpretable rebalancing and allocation decisions aligned with shifting market regimes. Overall, DeepAries introduces an innovative paradigm for adaptive and practical portfolio management by integrating both timing and allocation into a unified decision-making process.

Ahmedabad-based blockchain and artificial intelligence (AI) solutions provider, Yudiz Solutions Limited said it will strengthen its position in the gamification solutions for applications in corporate workplaces and industry uses. The company eyes non-game environment targeted to improve employee performance and customer engagement with deployment of gamification solutions in corporate use. Yudiz currently gets about 40 per cent of its reported revenues of ₹18.76 crore (March 2022) from gaming that also involves other technical tools such as AI, Blockchain, virtual reality among others. "We believe that the Indian gaming market will grow from $3 billion to $5 billion by 2025. And we expect to increase the share of games in our total revenues to 60 per cent," said Bharat Patel, Chairman, Yudiz Solutions. "In the next two years, we also plan to open a gaming studio," said Patel adding that the company plans to hit the capital markets with a public issue in the SME segment of NSE Emerge platform in June 2023.

By 2025, Artificial Intelligence is projected to increase India's GDP by $500 billion: Report As of February 2023, there will be about 45,000 AI job openings in India, according to a report that was made public on Monday. According to a report released on Monday, artificial intelligence (AI) is predicted to boost India's economy by $967 billion by 2035 and its GDP by about $450 to $500 billion by 2025, or about 10% of the country's target of $5 trillion in GDP. According to TeamLease Digital's "iCET- Forces Shaping Future of Technology" report, AI is projected to contribute $15.7 trillion to the global economy by 2030. According to the report, the global AI market is expected to reach $136 billion in 2022 and grow at a CAGR of 37% from 2023 to 2030. The report stated that $12.3 billion in revenue was generated by AI in India in 2022 and predicted that by the end of 2025, the country's AI software market would have grown at a CAGR of 18%.

Ever since the adoption of Smartphones and further mobile applications have flooded the market, global industries are on their way to offering their services through the adoption of mobile app development trends. One of the prominent and visible growth has been in the healthcare industry, which has gone many miles ahead of where it stood a decade ago. However, that can't be done with just a snap of a finger. You, as a healthcare organization entering into the mHealth service market, must follow healthcare app development trends, which we have discussed over here, to lead your app concept to success. In addition, to know healthcare app development trends, the market study is the need of the hour!!

NEEDHAM, Mass., March 7, 2023 – A new forecast from the International Data Corporation (IDC) Worldwide Artificial Intelligence Spending Guide shows that global spending on artificial intelligence (AI), including software, hardware, and services for AI-centric systems*, will reach $154 billion in 2023, an increase of 26.9% over the amount spent in 2022. The ongoing incorporation of AI into a wide range of products will result in a compound annual growth rate (CAGR) of 27.0% over the 2022-2026 forecast with spending on AI-centric systems expected to surpass $300 billion in 2026. "Companies that are slow to adopt AI will be left behind – large and small. AI is best used in these companies to augment human abilities, automate repetitive tasks, provide personalized recommendations, and make data-driven decisions with speed and accuracy," said Mike Glennon, senior market research analyst with IDC's Customer Insights & Analysis team. "Suppliers of AI technologies need to know which are the largest and fastest growing opportunities, but without data they become just another opinion. IDC's AI Spending Guide provides the foundation for marketing strategy through its comprehensive coverage of AI opportunities and gives a robust basis for a market focus that ties with companies' capabilities."

As wearables like glasses and watches become more popular among consumers and become more relevant to fashion trends, the market is expected to increase dramatically. In fact, it was found by SkyQuest in one of the research that more than 441 million smart wearables were supplied globally in 2021. Additionally, it is estimated that increasing usage of technologies like sophisticated cloud technology, IoT, and machine learning would increase demand for AI-based products, which will in turn propel market expansion. The wearable AI device market in North America region is predicted to gain the largest market share by growing at a significant CAGR during the forecast period. The growth of the market can be ascribed to the increasing adoption of cutting-edge technology, the presence of significant smart watch manufacturing businesses, and increasing consumer disposable income. Additionally, it is predicted that rising demand for smart timepieces/smartwatches in wealthy countries like the United States will spur market expansion. SkyQuest noted that in 2019, more than 20 million smartwatch pieces were sold in the USA and this is estimated to increase during the forecast period owing to growing urbanization and millennials' rising interest in smart gadgets.

Forecasts from Persistence Market Research indicate that by the end of the forecast period in 2027, the worldwide deep learning market would be worth US$ 261,113.0 This indicates a 49.0% compound annual growth rate that was seen over the anticipated period. This development can be ascribed to the demand for improved processing hardware, an increase in global R&D activity in particular industries, and the quick global adoption of cloud-based technologies. A recent research from Persistence Market Research offers a complete review of the worldwide deep learning market. In-depth analysis of the deep learning concept and the performance of the global deep learning market across significant end-use industry sectors throughout seven significant geographies are provided in this study.

Humanoid robots are proficient help robots made to imitate human movement and association. Like all help robots, they offer some benefits via mechanizing undertakings that prompt cost reserve funds and efficiency. Humanoid robots are a generally new type of expert help robots. While long-imagined, they're presently beginning to turn out to be economically feasible in a large number of utilizations. The humanoid robots market is ready for huge development.

Artificial intelligence (AI), often recognized as machine intelligence, is an area of computer science that emphasizes developing and managing technology that can learn to make choices and can separately carry out transactions on behalf of humans. The banking, financial services, and insurance segments experience substantial expansion during the estimated period. A substantial amount of client data or transaction records are produced owing to the rising digital revolution in banking and the augmented use of mobile payment, real-time money transfers, e-banking, and mobile banking applications. The global Artificial Intelligence Service Market size was valued at USD 93.5 billion in 2021 growing at the CAGR of 38.1% from 2022 to 2032. Evolve Business Intelligence provides an in-dept research study that contains the ability to focus on the major market dynamics in several region across the globe.

China's massive investment in industrial robotics has put the country in the top ranking of robot density, surpassing the United States for the first time. The number of operational industrial robots relative to the number of workers hit 322 units per 10,000 employees in the manufacturing industry. The world s top 5 most automated countries in manufacturing 2021 are: South Korea, Singapore, Japan, Germany and China. "Robot density is a key indicator of automation adoption in the manufacturing industry around the world," says Marina Bill, President of the International Federation of Robotics. "The new average of global robot density in the manufacturing industry surged to 141 robots per 10,000 employees – more than double the number six years ago. China's rapid growth shows the power of its investment so far, but it still has much opportunity to automate."