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5 Easy Ways to Develop A Strong Work Ethic While Working from Home



The pandemic of COVID-19 has literally brought the whole world to a standstill. However, some countries have now started to lift the lock-downs. But some continue to operate under restricted conditions. Amidst this, many biggies like Google are allowing its employees to work from home
till the end of 2020. But if you think work from home is rosy, then you are absolutely wrong! Despite the flexibility, an individual needs to understand the importance of professional commitments. And that’s why we are going to list some ways to develop work ethics while working from home.

Pointers for establishing successful work from home ethics

1. Keep distractions at bay

When you are working from home, distractions are a major spoilsport. Then it could be over-the-top media services (OTT), social media, mobile notifications, and whatnot. Further, they are bound to disconnect you from your professional commitments, thus impacting your work ethic. So, it’s best to organize yourself. And for this, keep your mobile phones away. Mute all unimportant notifications while holding back your social media yearning. Besides, family, pets, neighbors are also one of the key distractors. So, keep your family well-aware of your office hours. Have rules in place that will deflect them from disturbing you.

2. Create an atmosphere of a workplace

Don’t just lounge around the sofa or bed while working. Instead, find a space that is an apt option to convert into a workplace. Besides, make sure all your professional necessities are kept handy. Then be it files, hard drives, reference resources, etc. You may also hang some inspiring quotes
or notes near your work area to get that ‘office feel.’ With this, make sure to dress up as you would do for the office. It gives a feel of professionalism and motivates you for work. Above all, choose a seating arrangement that will add to your comfort while racing towards your deadlines.

3. Design a to-do-list

Having a schedule or a to-do list in place is truly a blessing. With this, one knows what tasks to undertake and when! Besides, it gives clarity about commitments that are not ‘work-related’ like picking up children from school, buying groceries, etc. Moreover, working for longer schedules while balancing home responsibilities might get tedious for some. So, the to-do list helps in differentiating work time and leisure time. Besides, allot time slots for every task. With this, make sure to take productive breaks from work. With no colleagues around, you might forget to grab a coffee or take a stride. Instead, stretch a bit and relax your mind for better work from home experience.

4. Stay connected with colleagues

Every human being needs social interaction to cope with stress. So, to make this ‘work from home’ experience productive, then make it a point to stay connected with your colleagues. Organize a video chat and check how they all are adjusting to this lifestyle. Because they are also sailing in the same boat as you! The best part of this is that if you are feeling gloomy in any way. Then these interactions might just bring a ray of hope and positivity.

5. Stick to a healthy regime

Isn’t it obvious that working from home is like getting one notch closer to a sedentary lifestyle? The food platter is always lingering around. With the refrigerator in the proximity, there is no check on weight gain. So, to avoid this, stick to a healthy regime. Don’t forget to exercise every day while munching on healthy snacks. Stay hydrated and avoid multitasking. If you are eating, then wind it up first after which take a call. It will help you to stay focused. So, these were some easy steps to develop work ethics while working from home. Besides this, make sure to stay connected with your entire team all the time for daily updates. Also, at the end of the day, review your work to map your productivity. It will help in coping up with the overall setting of ‘work from home!


AI-Enhanced Batteries: Unlocking 10% More Capacity and Extending Life by 25%



Up to 25% more battery life can be obtained by using the AI-BMS-on-chip, which also “unlocks” an extra 10% of a battery’s capacity. It accomplishes this by accurately monitoring the battery’s State of Health (SoH) and State of Charge (SoC) to a far greater extent than is feasible with conventional BMS units.

Syntiant’s NDP120 Neural Decision Processor takes decisions to avoid failures, improve battery safety, and maximize performance by analyzing battery performance in real-time and using predictive diagnostics to spot possible problems early.

The NDP120 was made with ease of integration with consumer and business electronics BMS systems already in place. The AI-BMS-on-chip technology removes all connectivity, latency, and privacy concerns related to cloud-based systems by being included into the battery itself.

“The AI-BMS chip addresses the need for real-time, efficient battery management in various applications.” Declared Chief Business Officer of Syntiant Mallik Monturi. Performance, safety, and battery life are all improved. For everything from consumer electronics to commercial vehicles, this makes it ideal.”

The AI-BMS-on-chip has the potential to significantly improve the electric vehicle (EV) market, from vehicles to personal eVTOL planes. By increasing range and delaying the need for new batteries, it may also result in significant cost savings for customers. The technology’s predictive capabilities may also reduce the likelihood of battery failures at times, like when you’re 200 feet above the ground on your way home from work in your Jetson.

The maximum life of most current lithium-ion batteries is typically 500–1,000 charge cycles before the battery starts to deteriorate. This might be increased to 625–1,250 cycles using the AI BMS from Eatron Technologies. LiFePO4 batteries can withstand up to 5,000 charge cycles with a typical BMS, and they are becoming increasingly popular in off-grid and recreational vehicle applications. Potentially, the NDP120 might raise these numbers to an incredible 6,250+ cycles.

This week in Stuttgart, Germany, Eatron is showcasing its AI-BMS-on-chip technology at The Battery Show Europe 2024.

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OpenAI Founder Sutskever Launches a new Artificial Intelligence Business Focused on “safe Superintelligence”



An unsuccessful attempt to remove OpenAI CEO Sam Altman was spearheaded by Ilya Sutskever, one of the company’s founders, who said he was launching a safety-focused AI startup.

The well-known AI researcher Sutskever, who quit the company that made ChatGPT last month, announced on social media on Wednesday that he and two co-founders had founded Safe Superintelligence Inc. Development of “superintelligence,” a term used to describe artificial intelligence systems that are more intelligent than people, is the company’s sole objective.

Work on safety and security will be “insulated from short-term commercial pressures,” according to the company’s business model, which Sutskever and his co-founders Daniel Gross and Daniel Levy said in a prepared statement. The company also pledged not to get sidetracked by “management overhead or product cycles.”

According to the three, Safe Superintelligence is an American business with headquarters in Tel Aviv and Palo Alto, California, “where we have deep roots and the ability to recruit top technical talent.”

Sutskever was part of a group that made an unsuccessful attempt last year to oust Altman. The boardroom shakeup, which Sutskever later said he regretted, also led to a period of internal turmoil centered on whether leaders at OpenAI were prioritizing business opportunities over AI safety.

Known as artificial general intelligence, or AGI, Sutskever co-led a team at OpenAI dedicated to securely creating AI that is superior to humans. He stated that he had intentions for a “very personally meaningful” project when he left OpenAI, but he gave no further information.

Sutskever declared that he made the decision to leave OpenAI

Days after his departure, his team co-leader Jan Leike also resigned and leveled at OpenAI for letting safety “take a backseat to shiny products.” OpenAI later announced the formation of a safety and security committee, but it’s been filled mainly with company insiders.

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New AI Solutions are Released by HPE and NVIDIA to Advance Generative AI



In order to assist businesses in implementing generative AI more quickly, Hewlett Packard Enterprise (HPE) and NVIDIA unveiled “NVIDIA AI Computing by HPE,” a new suite of AI technologies.

Main Provided:

HPE Private Cloud AI: This is the first solution to combine HPE’s AI storage, compute, and HPE GreenLake cloud with NVIDIA AI processing, networking, and software. It supports companies of all sizes in creating and implementing AI solutions in an effective and sustainable manner. The solution comes in four versions to suit different AI workloads and incorporates OpsRamp AI copilot for improved IT operations.


With the help of channel partners like Deloitte, HCLTech, Infosys, TCS, and Wipro as well as the teams of both organizations, the new AI services and solutions would be made available.

The president and CEO of HPE, Antonio Neri, stated: “While fragmented AI technologies present risks, generative AI has the potential to transform enterprises.” Companies may concentrate on developing new AI applications to increase productivity and revenue with the aid of our new AI solutions.

A new industrial revolution is being propelled by faster computers and generative AI. Our thorough integration with HPE’s technology will provide businesses cutting-edge AI services and infrastructure. said Jensen Huang, CEO and founder of NVIDIA.


HPE Private Cloud AI guarantees data protection, privacy, and governance while supporting a range of AI workloads. For more productivity, it provides a cloud experience with ITOps and AIOps. The system makes use of HPE AI Essentials software for AI and data foundation tools, as well as NVIDIA AI Enterprise software for data science pipelines and AI model deployment.

Technical Details:

The infrastructure consists of HPE ProLiant servers with NVIDIA GPUs and the NVIDIA GH200 NVL2 platform; NVIDIA Spectrum-XTM Ethernet networking; and HPE GreenLake for file storage.

Integration of OpsRamp with GreenLake Cloud:

With administration and observability tools, HPE Private Cloud AI offers a self-service cloud environment. Observability and AIOps are provided for the whole NVIDIA compute through the integration of OpsRamp with HPE GreenLake.

More Support for the Most Recent NVIDIA GPUs:

HPE ensures compatibility with future NVIDIA designs by adding support for the newest GPUs, CPUs, and Superchips from NVIDIA.

File Storage Certification:

With certification for NVIDIA DGX BasePOD and NVIDIA OVX systems, HPE GreenLake for File Storage offers a tried-and-true storage option for workloads that are heavy on AI and GPUs.

Global edge-to-cloud provider HPE assists businesses in gaining value from all of their data everywhere. With its solutions for cloud services, computers, artificial intelligence, and other areas, HPE improves business models and operational performance.

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