Apple Inc. spent a record **** billion U.S. dollars on research and development in its 2024 fiscal year, increasing by about *** billion from its 2023 total. The company’s massive research and development budget over the years has led to the release of various famous products including the iPhone, iPod, MacBook, and iPad. In 2024, the company released their first VR headset, the Apple Vision Pro. Apple Inc. Since its famous beginning in a garage in California, Apple has grown into a tech industry giant, today holding the title of the world’s most valuable brand. The company released over a dozen new products in 2023, with new generations of its iPhone, Apple Watch, and iPad being released. In addition to its consumer electronics products, the company develops a variety of software packages, applications, web browsers, and more recently, cloud technology offerings. On November 1, 2019, with the official launch of its ambitious Apple TV+, Apple also entered the over-the-top media service market, albeit late to the already competitive game. Apple’s massive range of compatible products and software bring in hundreds of billions of dollars in revenue each year and made it the first public company whose market value reaches the ****trillion U.S. dollar landmark.

Credit report of Apple R&d (beijing) Ltd. Shenzhen Branch contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

In 2023, the technology hardware manufacturer that spent the most on research and development (R&D) was the American giant Apple, with an R&D expenditure of over ** billion euros. Close behind came Chinese Huawei with a spending of almost ** billion euros, followed by Intel. The European hardware company with the highest R&D spending in 2023 was Ericsson.

Cette statistique présente les dépenses en recherche et développement (R&D) de la société Apple dans le monde entre 2007 et 2024, en milliards de dollars des États-Unis. Alors qu'en 2007 Apple investissait moins d'un milliard de dollars dans la recherche et développement, le pôle R&D était financé à hauteur de près de ***** milliards de dollars américains au cours de son exercice fiscal en 2024, soit une augmentation d'environ ** milliards par rapport au total de 2021. L'énorme budget de recherche et développement de l'entreprise au fil des ans a conduit à la sortie de plusieurs produits célèbres, notamment l'iPhone, l'iPod, le MacBook et l'iPad. En 2024, l'entreprise a commercialisé son premier casque VR, l'Apple Vision Pro.

Amazon spent the most on research and development in the fiscal year 2024, with over ** billion U.S. dollars. Alphabet, Meta, Apple, and Microsoft rounded out the top five of companies with the highest R&D spending that year. Leading by innovation Spending money on research and development, or R&D, is how a company innovates new technologies and conducts research to develop new products and services. R&D allows companies, such as Amazon, to stay ahead of their competition and work towards the future. Most of the R&D spending in the world in 2022 was within health & pharma, which should be seen in light of the COVID-19 pandemic, and the United States is the leading country for R&D expenditure in the world. AI and R&D Currently, many companies are investing in Artificial Intelligence (AI) innovation, including the ethical implications of AI and how it can be used to better society as a whole. Major companies, such as Amazon and Alphabet, are throwing their collective weight into this issue and conducting research into its future applications.

Summary of growth studies for apple development.

In the first quarter of 2025, Apple generated a total of ***** billion U.S. dollars in services revenue. These services include iTunes, the company’s online entertainment library, as well as software, digital content, AppleCare, Apple Pay, and licensing. Overall, Apple’s services segment has shown strong growth over the last few years, passing the mark of *** billion U.S. dollars in revenue in a quarter for the first time in 2018. Apple's services segment now only trails the revenue generated by its largest segment, the iPhone, which brings in **** of billions of U.S. dollars each quarter. Apple Inc. Since its famous beginning in a garage in California, Apple has grown into a giant of the technology industry, becoming one of the most valuable companies in the world. Every year, it brings in ******** of billions of U.S. dollars and revolutionize the industry time and time again with its various consumer electronic devices. Some of the company’s most famous products include the Apple I, MacBook, iPod, Apple Watch, and the iPhone. In order to continue to innovate and improve its product offerings, Apple allocates over *** billion U.S. dollars per year towards its research and development budget. This massive R&D budget not only helps from a hardware perspective, but also assists in the development of more digital solutions to everyday needs such as iCloud and Apple Pay.

As of data from 2018 and 2019, Huawei ranked first among the top 25 investors into technology hardware and equipment research and development (R&D) having spent **** billion euros. Apple occupied second place with an R&D investment of **** billion U.S. dollars, whilst Intel in third invested **** billion U.S. dollars.

This land suitability for Custard Apple raster data (in GeoTIFF format) represents areas of potential suitability for this crop and its specific irrigation management systems in the Flinders and Gilbert catchments of North Queensland. The data is coded 1-5: 1 - Suitable with no limitations; 2 - Suitable with minor limitations; 3 - Suitable with moderate limitations; 4 - Marginal; 5 - Unsuitable. The land suitability evaluation methods used to produce this data are a modification of methods of the Food and Agriculture Organisation of the UN (FAO). This data is part of the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project and is designed to support sustainable regional development in Australia being of importance to Australian Governments and agricultural industries. The project identifies new opportunities for irrigation development in these remote areas by providing improved soil and land evaluation data to identify opportunities and promote detailed investigation. A companion dataset exists, “Confidence of suitability data for the FGARA project”. A link to this dataset can be found in the “related materials” section of this metadata record. Lineage: These suitability raster data for Custard Apple and its individual irrigation management systems have been created from a range of inputs and processing steps. Below is an overview. For more information refer to the CSIRO FGARA published reports and in particular: Bartley R, Thomas MF, Clifford D, Phillip S, Brough D, Harms D, Willis R, Gregory L, Glover M, Moodie K, Sugars M, Eyre L, Smith DJ, Hicks W and Petheram C (2013) Land suitability: technical methods. A technical report to the Australian Government for the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project, CSIRO. Broadly, the steps were to: 1. Collate existing data (data related to: climate, topography, soils, natural resources, remotely sensed etc of various formats; reports, spatial vector, spatial raster etc). 2. Select additional soil and attribute site data by Latin hypercube statistical sampling method applied across the covariate space. 3. Carry out fieldwork to collect additional soil and attribute data and understand geomorphology and landscapes. 4. Build models from selected input data and covariate data using predictive learning via rule ensembles in the RuleFit3 software. 5. Create Digital Soil Mapping (DSM) key attributes output data. DSM is the creation and population of a geo-referenced database, generated using field and laboratory observations, coupled with environmental data through quantitative relationships. It applies pedometrics - the use of mathematical and statistical models that combine information from soil observations with information contained in correlated environmental variables, remote sensing images and some geophysical measurements. 6. Choose land management options and create suitability rules for DSM attributes. 7. Run suitability rules to produce limitation datasets using a modification on the FAO methods. 8. Create final suitability data for all land management options. Two companion datasets exist for this dataset. The first is linked to in the “related materials” section of this metadata record, entitled “Confidence of suitability data for the FGARA project”. The second (held by CSIRO Land and Water) includes expert opinion and knowledge about landscape processes or conditions that will influence agricultural development potential in these catchments, but were not captured sufficiently in the modelling process (and areas of expert opinion where the Mahanabolis method underestimates confidence). The two landscape features that require special attention are the basalt rock outcrops in the Upper Flinders catchment that were not well captured by the covariate data, and the secondary salinisation hazard in the central Flinders catchment. For more information refer to the report “Land suitability: technical methods. A technical report to the Australian Government for the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project”.

Establishment and validation of the evaluation models.

An essential prerequisite to safeguard pollinator species is characterisation of the multifaceted diversity of crop pollinators and identification of the drivers of pollinator community changes across biogeographical gradients. The extent to which intensive agriculture is associated with the homogenisation of biological communities at large spatial scales remains poorly understood. In this study, we investigated diversity drivers for 644 bee species/morphospecies in 177 commercial apple orchards across 33 countries and four global biogeographical biomes. Our findings reveal significant taxonomic dissimilarity among biogeographical zones. Interestingly, despite this dissimilarity, species from different zones share similar higher-level phylogenetic groups and similar ecological and behavioural traits (i.e. functional traits), likely due to habitat filtering caused by perennial monoculture systems managed intensively for crop production. Honey bee species dominated orchard communities, wh..., During the apple blooming season in 2019 (except Bhutan in 2020), we surveyed 177 commercial apple orchards in 33 countries covering six continents following a strict and standardised protocol combining netting and pan trapping (3 days). This datasets represents the all community matrix used in the article "Global taxonomic, functional, and phylogenetic diversity of bees in apple orchards. Each site was sampled for three days (consecutive if weather permitting) during the peak blooming period. Netting collection incorporated surveying all bee specimens seen directly visiting the blossoms over two 90 min sessions (morning and afternoon) per day, while walking through orchard rows. Passive sampling consisted of deploying of painted pan traps at 9 h00 each day, in three trios (fluorescent yellow, fluorescent blue, and white) on cleared ground. The pan traps were filled with soapy water and were collected at 4 h00. Allpan traps were painted at the Agroecology Lab (ULB, Belgium) then dispatc..., Csv file, This README file was generated on 2023-08-10 by Nicolas Leclercq.

GENERAL INFORMATION

1. Title of Dataset: Global taxonomic, functional, and phylogenetic diversity of bees in apple orchards

2. Author Information A. Principal Author Contact Information Name: Nicolas Vereecken Institution: Universit Libre de Bruxelles Email:

   B. Associate Author Contact Information Name: Nicolas Leclercq Institution: Universit Libre de Bruxelles Email:

3. Date of data collection : 2019 (2020 for Bhutan)

4. Geographic location of data collection: World

SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data: CC0 1.0 Universal (CC0 1.0) Public Domain

2. Links to publications that cite or use the data:

N. Leclercq, L. Marshall, T. Weekers, P. Basu, D. Benda, D. Bevk, R. Bhattacharya, P. Bogusch, A. Bontutnaja, L. Bortolotti, N. Cabirol, E. Caldern-Uraga, R. Carvalho, S. Castro, S. Chatterjee, M. De La Cruz Alquicira, J.R. de Miranda, T. Dirilgen...

Support vector machine regression model parameters.

Biological Magnetic Resonance Bank Entry 18039: Solution structure ensemble of the two N-terminal apple domains (residues 58-231) of Toxoplasma gondii microneme protein 4

Characteristics of the nitrogen concentration of the samples.

In 2024, Taiwan Semiconductor Manufacturing Company (TSMC) spent over *** billion New Taiwan dollars on research and development. As a global semiconductor market leader, TSMC has been a crucial supplier to many huge consumer electronics corporations like Apple. Advantage through segmentation TSMC is a foundry and therefore only focuses on the production of semiconductors. The supply chain of integrated circuits is segmented into different production steps. So-called fabless companies design the chip layout and manage the sales process. They contract foundries, which only operate in the manufacturing part of the supply chain. The advantage for TSMC as a foundry is that the company can focus its research and development efforts on the improvement of the manufacturing process and the capabilities of the components. Supplying the world TSMC is the largest semiconductor manufacturer in the world’s largest semiconductor-producing region. While most fabless companies are located in the United States, Taiwan accounts for the largest share of semiconductor foundry revenue worldwide. TSMC is not only the largest foundry in Taiwan, but also globally as the company generates over half of the global foundry revenue.

ABSTRACT The salt stress caused by irrigation water with high concentration of salts stands out as one of the main limiting factors in agricultural production in the semiarid region of Northeastern Brazil. In this context, the objective of this study was to evaluate the photosynthetic pigments, the photochemical efficiency, and the growth of custard-apple irrigated with saline water and potassium doses. The research was carried out under field conditions in a randomized block design in a 2 × 5 factorial scheme, corresponding to two values of electrical conductivity of irrigation water - ECw (1.3 and 4.0 dS m-1) and five potassium doses (50, 75, 100, 125 and 150% of the recommendation). The dose referring to 100% corresponded to the application of 20 g of K2O per plant per year. ECw of 4.0 dS m-1 reduced the synthesis of chlorophyll a, total chlorophyll, and carotenoids in custard-apple, at 245 days after transplanting. Fertilization doses of 50 to 150% of the recommendation inhibited the synthesis of chlorophyll b and the absolute and relative growth rates in stem diameter of custard-apple plants irrigated with water of highest electrical conductivity. Reduction in the quantum efficiency of photosystem II in custard-apple cultivated under ECw of 4.0 dS m-1 is related to photoinhibitory damage to photosystem II. Potassium fertilization did not alleviate the stress caused by water salinity on the growth of custard-apple, during 151-245 days after transplantation.

ObjectiveThis study evaluated the Labs Without Walls app and paired Apple Watch devices for remote research among Australian adults aged 18–84.MethodsThe study app, built using Apple's open-source ResearchKit frameworks, uses a multi-timescale measurement burst design over 8-weeks. Participants downloaded the app, completed tasks over 8 weeks, and wore Apple Watch devices. Feasibility was assessed by recruitment, remote consent, and data collection without training. Adherence was measured by task completion rates. Usability was assessed by response times, a post-study survey, and qualitative feedback.Results228 participants (mean age 53, age range 18–84; 62.7% female) were recruited nationwide, consented remotely, and provided data. 201 (88.16%) completed the 8-week protocol. Task adherence ranged from 100% to 70.61%. Health, environmental, and sleep data were collected passively. Usability feedback was excellent, with 84% rating the app as “extremely” or “a lot” user-friendly, 88% finding alert frequency “just right,” and 95.7% finding the schedule manageable. Few age or sex differences were found.ConclusionsThe Labs Without Walls app and paired Apple Watch devices are user-friendly and enable adults aged 18–84 to complete surveys, cognitive and sensory tasks, and provide passive health and environmental data. The app can be used without formal training by males and females living in Australia, including older adults. Future iterations should consider gamification and strategies to improve daily-diary survey user experience.

Optimizing the utilization of applied nitrogen (N) in fruit trees requires N supply that is temporally matched to tree demand. We investigated how the timing of N application affected uptake, allocation, and remobilization within 14-year-old “Gala”/M26 apple trees (Malus domestica Borkh) over two seasons. In the 2017–2018 season, 30 g N tree−1 of 5.5 atom% 15N–calcium nitrate was applied by weekly fertigation in four equal doses, commencing either 4 weeks after full bloom (WAFB) (pre-harvest) or 1-week post-harvest, or fortnightly, divided between pre- and post-harvest (50:50 split). Nitrogen uptake derived from fertilizer (NDF) was monitored by leaf sampling before whole trees were destructively harvested at dormancy of the first season to quantify N uptake and allocation and at fruit harvest of the second season to quantify the remobilization of NDF. The uptake efficiency of applied N fertilizer (NUpE) was significantly higher from pre-harvest (32.0%) than from the other treatments (~17%). The leaf NDF concentration, an indicator of N uptake, increased concomitantly only when pre-harvest N was applied. Pre-harvest treated trees allocated more than half of the NDF into fruit and leaves and stored the same amount of NDF into perennial organs as the post-harvest treatment. Subsequent spring remobilization of NDF was not affected by the timing of N fertigation from the previous season. A seasonal effect of remobilization was observed with a decrease in root N status and a reciprocal increase in branch N status at fruit harvest of season two. These findings represent a shift in the understanding of dynamics of N use in mature deciduous trees and indicate that current fertilizer strategies need to be adjusted from post-harvest to primarily pre-harvest N application to optimize N use efficiency. This approach can provide adequate storage N to support early spring growth the following season with no detriment to fruit quality.

Apple apostó por invertir fuertemente en I+D durante todo el periodo de estudio, como lo demuestra el hecho de que los gastos en investigación y desarrollo casi se duplicaran en el último sexenio. Así pues, 2024 concluyó con una inversión en I+D superior a los ****** millones de dólares estadounidenses.