Chinese researchers are looking to create a revolutionary type of hard drive based on organic materials but huge unknowns remain - Related to india, ai, researchers, popular, remain
ChatGPT remains the most popular AI tool in offices worldwide, survey finds, with India leading the way
DeskTime study finds [website] of offices have ChatGPT in their workflow.
Time spent using ChatGPT in US workplaces increased by [website].
Security concerns limit ChatGPT adoption in some major global companies such as Apple, Amazon, and Bank of America.
The rapid rise of Chinese AI DeepSeek was unprecedented, but the buzz surrounding its surge is now fading, with new research offers fresh insights into global AI adoption.
A DeskTime study, conducted between January 2023 and December 2024, surveying 2,385 employees across 97 companies using its time-tracking tool states ChatGPT remains the most widely used AI tool in workplaces worldwide, with adoption rates continuing to grow.
The survey found that as of December 2024, [website] of global offices had integrated ChatGPT into their workflows, with India leading the way, with 92% of workplaces surveyed there reporting using the tool.
US ChatGPT adoption lags behind the global average.
In the US, workplace adoption rose from 68% in 2023 to 72% in 2024. Although this growth was slower compared to other regions, the time spent using ChatGPT increased significantly, with [website] of employees reporting greater usage.
Meanwhile, individual adoption reached [website] of employees in the US, a notable rise from 17% in 2023. This points to that while more employees are incorporating AI into their work, broader organization-wide implementation has slowed.
DeskTime’s study also found 75% of US offices used AI tools, including ChatGPT and other similar platforms, in 2024, marking a slight decline from 76% in the previous year.
Interestingly, AI adoption fluctuated throughout the year, with usage dropping to 63% in January 2024 before rising to 81% by October. These variations suggest seasonal work trends, organization policies, or evolving attitudes toward automation may influence AI adoption rates.
Despite widespread use, the slower pace of new workplace adoption of ChatGPT indicates that businesses without prior exposure to it are hesitant.
“Although ChatGPT adoption varies across offices, it's still in use across nearly 75% of US workplaces. The slow growth in ChatGPT use could be attributed to the adoption of other generative AI tools, as well as firm policies that prohibit or restrict the use of ChatGPT for work purposes due to concerns about data security and confidentiality," unveiled Artis Rozentals, CEO of DeskTime.
"For example, Apple, Amazon, and Bank of America are well-known names known to have restrictions on the tool’s use.”.
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Chinese researchers are looking to create a revolutionary type of hard drive based on organic materials but huge unknowns remain
Chinese researchers are working to develop molecular hard drives with high capacity.
The drives use organometallic molecules to boost data density and efficiency.
Chinese researchers are exploring the potential of organic materials to develop a new type of hard drive that could potentially store six times the amount of data compared to current mechanical models.
Traditional hard drives store data in binary form, relying on magnetized regions to represent ones and zeros, which limits storage capacity. Molecular hard drives overcome this by using self-assembled monolayers of organometallic complex molecules, such as RuXLPH, to significantly increase data density while maintaining ultra-low power consumption, measured at just [website] picowatts per bit.
(C-AFM), which serves as the mechanical programming and read head. applies localized voltages to the self-assembled monolayer, triggering redox reactions in the RuXLPH molecules. ’s nanoscale resolution allows precise control over molecular conductance states, allowing for multi-bit storage in an exceptionally small footprint.
Another advantage of molecular hard drives is the enhanced security they offer. Unlike traditional drives that require separate encryption mechanisms, molecular HDDs feature in-situ XOR encryption at the molecular level. This capability allows secure data encoding and retrieval without additional hardware, reducing vulnerability to cyber threats.
The researchers demonstrated this by encoding and encrypting a 128x128 pixel image, proving the system’s ability to securely store and retrieve data.
The research was . The authors say future work will focus on improving miniaturization, increasing conductance states, and addressing environmental sensitivity.
Blocks & Files makes an interesting point however. “ is currently measured at 50-200 hours in intermittent touch (tapping) mode versus 5-50 hours in continuous touch mode. Unless and until a long-lasting C- can be created, this would seem to be a fatal flaw in their molecular hard drive concept. A second point is that the device has “ultralow power consumption of pW/bit range,” but this is for reading and writing, not spinning the disk, which would take more power.”.
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Researchers uncover hidden 'backdoor' in widely used ESP32 microchip
A hot potato: The ESP32 chip, found in over a billion devices worldwide, contains undocumented vendor-specific commands that could potentially be misused to access device memory and manipulate Bluetooth functionality. Security experts emphasize that these commands are not directly accessible remotely without additional vulnerabilities and typically require physical access or already compromised firmware to exploit.
An undocumented set of low-level commands has been discovered in the ESP32 microchip, a widely used component in IoT devices. Manufactured by the Chinese business Espressif, the ESP32 is a crucial component for Wi-Fi and Bluetooth connectivity in numerous smart devices, including mobile phones, computers, smart locks, and medical equipment.
As of 2023, it is present in over a billion units worldwide. This discovery was made by Spanish researchers Miguel Tarascó Acuña and Antonio Vázquez Blanco of Tarlogic Security.
The researchers presented their findings at RootedCON in Madrid, revealing undocumented proprietary HCI commands in the ESP32's Bluetooth firmware. This set of 29 hidden vendor-specific commands, including Opcode 0x3F, enables low-level control over Bluetooth functions.
In a later revision on their blog, the researchers downplayed the use of the term "backdoor" to describe their findings, clarifying that these proprietary HCI commands could be considered "hidden capabilities" that allow operations such as reading and modifying memory in the ESP32 controller. However, the use of these commands could still facilitate supply chain attacks or the concealment of backdoors in the chipset.
The existence of these undocumented commands raises concerns about potential malicious implementations at the OEM level and the risk of supply chain attacks. While Espressif has not publicly documented these commands, their presence most likely indicates an oversight than an intentional inclusion.
These commands can be leveraged to manipulate memory by reading and writing to RAM and Flash, spoof MAC addresses to impersonate devices, and inject LMP/LLCP packets. While these functionalities are not inherently malicious, they could be misused by attackers who have already gained access to a device, allowing for impersonation attacks, bypassing security audits, or permanently modifying device behavior.
The risks associated with these commands primarily depend on the attack vector. In most cases, remote exploitation would require additional vulnerabilities, such as pre-installed malware or firmware manipulation. The more practical attack scenario would likely involve physical access to the device's USB or UART interface.
To analyze and expose these hidden commands, Tarlogic developed a new C-based USB Bluetooth driver, BluetoothUSB, which provides hardware-independent and cross-platform access to Bluetooth traffic. This tool enables comprehensive security audits of Bluetooth devices without relying on OS-specific APIs, addressing a significant gap in current security testing tools.
A unique tool to audit the security of the Bluetooth standard on any IoT device. Miguel Tarascó and @antonvblanco are presenting #BluetoothUSB at @rootedcon. [website] – Tarlogic (@Tarlogic) March 6, 2025.
Traditional security auditing tools often require specialized hardware and are limited by their dependence on specific operating systems, making comprehensive audits more challenging.
The potential impact of these undocumented commands is particularly relevant given the ESP32's widespread use in low-cost IoT devices, which can be purchased for as little as $2. While these commands were probably meant for debugging, their presence is a reminder of why strong firmware security is crucial in the IoT world.
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Market Impact Analysis
Market Growth Trend
| 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
|---|---|---|---|---|---|---|
| 4.9% | 5.9% | 6.2% | 6.9% | 7.3% | 7.5% | 7.6% |
Quarterly Growth Rate
| Q1 2024 | Q2 2024 | Q3 2024 | Q4 2024 |
|---|---|---|---|
| 6.9% | 7.2% | 7.4% | 7.6% |
Market Segments and Growth Drivers
| Segment | Market Share | Growth Rate |
|---|---|---|
| Semiconductors | 35% | 9.3% |
| Consumer Electronics | 29% | 6.2% |
| Enterprise Hardware | 22% | 5.8% |
| Networking Equipment | 9% | 7.9% |
| Other Hardware | 5% | 5.3% |
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity:
Competitive Landscape Analysis
| Company | Market Share |
|---|---|
| Apple | 18.7% |
| Samsung | 16.4% |
| Intel | 12.9% |
| NVIDIA | 9.8% |
| AMD | 7.3% |
Future Outlook and Predictions
The Researchers Chatgpt Remains landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:
Year-by-Year Technology Evolution
Based on current trajectory and expert analyses, we can project the following development timeline:
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:
Innovation Trigger
- Generative AI for specialized domains
- Blockchain for supply chain verification
Peak of Inflated Expectations
- Digital twins for business processes
- Quantum-resistant cryptography
Trough of Disillusionment
- Consumer AR/VR applications
- General-purpose blockchain
Slope of Enlightenment
- AI-driven analytics
- Edge computing
Plateau of Productivity
- Cloud infrastructure
- Mobile applications
Technology Evolution Timeline
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
Expert Perspectives
Leading experts in the hardware tech sector provide diverse perspectives on how the landscape will evolve over the coming years:
"Technology transformation will continue to accelerate, creating both challenges and opportunities."
— Industry Expert
"Organizations must balance innovation with practical implementation to achieve meaningful results."
— Technology Analyst
"The most successful adopters will focus on business outcomes rather than technology for its own sake."
— Research Director
Areas of Expert Consensus
- Acceleration of Innovation: The pace of technological evolution will continue to increase
- Practical Integration: Focus will shift from proof-of-concept to operational deployment
- Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
- Regulatory Influence: Regulatory frameworks will increasingly shape technology development
Short-Term Outlook (1-2 Years)
In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing hardware tech challenges:
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.
Mid-Term Outlook (3-5 Years)
As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.
Long-Term Outlook (5+ Years)
Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.
Key Risk Factors and Uncertainties
Several critical factors could significantly impact the trajectory of hardware tech evolution:
Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.
Alternative Future Scenarios
The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:
Optimistic Scenario
Rapid adoption of advanced technologies with significant business impact
Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.
Probability: 25-30%
Base Case Scenario
Measured implementation with incremental improvements
Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.
Probability: 50-60%
Conservative Scenario
Technical and organizational barriers limiting effective adoption
Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.
Probability: 15-20%
Scenario Comparison Matrix
| Factor | Optimistic | Base Case | Conservative |
|---|---|---|---|
| Implementation Timeline | Accelerated | Steady | Delayed |
| Market Adoption | Widespread | Selective | Limited |
| Technology Evolution | Rapid | Progressive | Incremental |
| Regulatory Environment | Supportive | Balanced | Restrictive |
| Business Impact | Transformative | Significant | Modest |
Transformational Impact
Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.
The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.
Implementation Challenges
Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.
Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.
Key Innovations to Watch
Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.
Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.
Technical Glossary
Key technical terms and definitions to help understand the technologies discussed in this article.
Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.
CPU intermediate
RAM intermediate
API beginner
How APIs enable communication between different software systemsencryption intermediate
Basic encryption process showing plaintext conversion to ciphertext via encryption keyplatform intermediate
interface intermediate
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