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If you’ve noticed excessive battery drain from your iPhone lately then you’re not alone. There are numerous reports of this issue across the internet, with the vast majority of complaints relating to phones in the iPhone 16 family on iOS 18.

As spotted by MacRumors, there are lengthy threads on Reddit, the Apple Support Community, and elsewhere complaining about massive battery drain, in many cases even when the phone is in standby.

Most reports seem to relate to the iPhone 16 Pro and the iPhone 16 Pro Max, but the standard iPhone 16 and the iPhone 16 Plus are also mentioned.

Some users have additionally claimed that iOS 18.0.1 or the iOS 18.1 beta have improved matters, but not everyone has found these updates have solved their issues.

So, it’s possible that one of these updates will fix things for you, but if not, you might be waiting a while for a fix, especially as Apple hasn’t even acknowledged the issue yet. That said, it’s not clear how widespread this particular problem actually is, and if you’re not already experiencing unusual battery drain on an iPhone 16 model running iOS 18, then you’re probably safe.

Short-term salves

The iPhone 16 (Image credit: Future)

But what to do if your battery is draining fast? For now, you could try turning off the always-on display feature, disabling ProMotion, turning off background app refresh, or getting rid of widgets.

All of these features drain battery, so disabling them would naturally help improve matters, but that’s not ideal, since it’s also limiting what your phone can do.

It’s also possible that factory resetting your phone will help, with some users saying as much, but others haven’t been so lucky.

If that doesn’t help, then you’ll probably have to wait for a patch to fix it properly. So, hopefully we’ll see one soon.

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A former Olympic snowboarder for Canada has been charged with running a drug trafficking ring that shipped vast amounts of cocaine across the Americas and killed four people, authorities said.

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New research from Qlik has revealed that, despite leaders acknowledging the significant potential of artificial intelligence for driving profits and achieving strategic goals, many projects are still stuck in the planning phases.

Qlik says this is due to mistrust, governance issues and regulatory challenges, each contributing to delays in the full and successful deployment of AI.

Consequentially, more than one in 10 (11%) UK businesses now have between 50 and 100 AI projects stuck in the planning stage.

AI projects aren’t hitting the ground running

The report also reveals that one-fifth of British companies have had to cancel up to 50 AI projects as the struggle to move AI initiatives from concept to deployment becomes a challenge.

According to the report, more than three-quarters (79%) of decision-makers are now turning to ‘ready-made’ AI solutions to streamline deployment and reduce risks, but at the risk of a lack of personalization and customization to the company’s specific needs.

Data governance (28%), regulatory issues (22%) and a lack of clear ownership over AI projects within businesses (20%) were all highlighted as obstacles, but the most significant was a lack of trust, with 41% of decision-makers reporting that senior managers are still sceptical of AI. Furthermore, 17% acknowledged a lack of trust on the part of customers.

Qlik Chief Strategy Officer James Fisher commented: “Understanding the value of sharing insights and benefits of AI across the business and senior management team, will help to limit the number of AI projects getting stuck in planning or being forced to cancel.”

However, all is not lost. Another report by Cisco, also focused on the long-term potential of AI, found that nearly one-fifth (19%) of UK partners predict that 76-100% of their revenue will come from AI within the next 4-5 years.

It, too, revealed that businesses are being faced with major hurdles in their AI adoption plans, with infrastructure (33%) and cybersecurity (32%) emerging as the key obstacles, far ahead of customer experience (6%) in third place.

Cisco VP of Global Partner Engineering Alex Pujols added: “The potential for AI to transform business operations is immense and realising this requires a concerted effort to strengthen our partners’ practical deployment capabilities.”

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OpenAI’s ChatGPT app is now available for paid users on Windows as the company begins testing a PC version of its successful Mac app.

The dedicated ChatGPT app allows you to ask the chatbot prompts from its own window in a well-designed, streamlined interface. Best of all, the ChatGPT app gives Windows users access to the incredibly useful keyboard shortcut that activates AI with Alt + Space.

That’s not the only benefit of using the ChatGPT app on Windows, however. The app lets you upload files such as photos allowing you to ask AI about documents or the origins of a picture. While the app is still missing Advanced Voice Mode, it’s about time Windows users got to try the ChatGPT app. After all, Mac users have been able to use these features since the summer.

Today, ChatGPT Plus, Enterprise, Team, and Edu users can start testing an early version of the Windows desktop app.Get faster access to ChatGPT on your PC with the Alt + Space shortcut.https://t.co/mv4ACwIhzA https://t.co/Ww6QvBfMnB pic.twitter.com/tkyodezZhvOctober 17, 2024

ChatGPT on Windows

(Image credit: OpenAI)

ChatGPT’s Mac app is one of the best AI apps I’ve used as it can easily integrate into your daily workflow thanks to the keyboard shortcut. Now Windows users will have that same access, finally! With OpenAI working on more ways to use ChatGPT such as the newly released Canvas mode, which works as an AI-powered word processor, it’s an exciting time for Mac and Windows users alike. Hopefully, the arrival of a Windows app is a sign that OpenAI’s standalone app development is ramping up and we’ll see more apps, like Canvas, soon.

The early version of the ChatGPT Windows app is available to download now from the Microsoft Store for all ChatGPT Plus subscribers. ChatGPT Plus costs $20 (£16, AU$30) a month but if you don’t want to pay, you’ll be able to access this ChatGPT Windows app at a later date once development is complete. Until then, OpenAI fans on Windows can be happy that they’re no longer an afterthought and the much-anticipated app is on its way for everyone to enjoy.

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As the race to harness AI’s transformative power by integrating AI tools intensifies, CIOs worldwide face a daunting obstacle: a critical shortage of skilled professionals. According to Expereo’s Enterprise Horizons 2024 research, which polled 650 leading technology leaders globally, over one-third of companies grapple with a significant skills deficit that threatens to derail their AI initiatives. This shortage is not just a minor inconvenience; it poses a substantial risk to the ambitious AI projects many organizations are eager to implement.

The Underlying Challenge: Network Infrastructure

Beyond the immediate need for AI expertise, the foundational skills in data engineering, pipeline architecture, and network management have become increasingly vital. Crucially, nearly 40% of CIOs emphasize the importance of robust network infrastructures for scaling AI effectively. A well-optimized network can significantly enhance AI performance, ensuring seamless data flow and real-time processing, which is essential for AI-driven insights and automation. Even the most advanced AI systems can falter without these critical components, meaning they cannot deliver the expected results.

Given these complexities, partnering with the right technology providers is crucial. These partners offer advanced infrastructure and the expertise to optimize it, bridging the gap in networking talent and providing a scalable foundation for AI success. The right partnership can make the difference between a stalled project and a successful AI implementation that drives business growth and innovation.

Addressing the Skills Gap: Strategic Approaches

CIOs must adopt a proactive, multifaceted strategy to tackle the AI skills shortage. This includes investing in employee development and forming partnerships with educational institutions and training programs. However, many CIOs find that their current technology partners need more capabilities to support sophisticated AI projects. Nearly 30% of global CIOs report a misalignment between their partners’ capabilities and AI goals, hindering innovation and progress.

To overcome this, companies are increasingly turning to specialized third-party vendors. These vendors bring the technical expertise required to implement complex AI solutions and manage them effectively. Businesses can bridge the skills gap more efficiently by leveraging their knowledge, ensuring their AI projects are ambitious and achievable. This approach addresses the immediate skills shortage and builds a foundation for long-term success in AI initiatives.

Empowering the Workforce

Training existing staff to use AI tools effectively is equally important. Organizations must invest in comprehensive training programs that equip employees with the skills to navigate AI-driven workflows. From interpreting AI-generated insights and integrating AI tools into daily tasks to ensuring the ethical use of AI technologies, businesses can foster a culture of continuous learning, helping to empower their workforce to harness AI’s full potential, driving innovation and maintaining a competitive edge.

Moreover, retraining the workforce to adapt to new AI-driven workflows presents additional challenges. Nearly 40% of CIOs are wrestling with this issue, highlighting the need for effective change management strategies. The rise of remote and hybrid work models only amplifies these challenges, making it clear that AI adoption requires technical solutions and a comprehensive approach to change management. Ensuring that employees are comfortable and proficient with AI tools is essential for maximizing the benefits of AI integration.

Future-Proofing AI Initiatives

CIOs must also cultivate a forward-thinking mindset to anticipate the evolving AI landscape. As AI technologies advance, the need for ongoing talent development and infrastructure innovation will only grow. Staying ahead of the curve requires a strategic vision encompassing immediate needs and long-term goals.

CIOs should explore emerging technologies like AI-powered tools for talent acquisition and network optimization to stay ahead. These tools can help identify and recruit the right talent more efficiently, addressing the skills gap from the ground up. Additionally, AI-powered network optimization tools can enhance the performance and scalability of AI systems, ensuring that they can handle increasing demands and complexities.

The journey to unlocking AI’s transformative potential is fraught with challenges, but with the right strategies, CIOs can effectively navigate these obstacles. Addressing the AI skills shortage requires a multifaceted approach that includes investing in employee development, forming strategic partnerships, and leveraging specialized third-party vendors. By empowering the workforce and ensuring robust network infrastructures, organizations can build a strong foundation for AI success.

Ultimately, the key to overcoming the AI skills shortage lies in a forward-thinking mindset that anticipates future demands and embraces continuous learning and innovation. By staying ahead of the curve and partnering with the right experts, CIOs can ensure their organizations are well-equipped to harness AI’s full potential, driving significant and lasting transformation across industries.

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Ever tried a latex mattress? Saatva’s Latex Hybrid, made with natural and organic materials, is worth a look. But does it rank among the best we’ve tested?

Theragun Pro: One-minute review

We’ve seen multiple versions of the Theragun Pro, and every time the upgrades have been incremental but very welcome.

This is the crown jewel in Theragun’s lineup, after all, and it’s powerful and practical; however, it might be too pricey for some. Still, if you can afford the cost of entry, there are few better options.

While it lacks some of the massage-adjacent features of the smaller Sense, it’s a dream to use for just, well, self-massage. It’s got a sizeable battery, and a spare included (that’s a combined five hours between them which means none of those frustrating moments where you get back from a run and need to plug it in for a while), while also packing a rotating arm which you won’t find on the company’s other offerings (at least not anymore).

There’s an OLED screen, as has become standard, with guided massage routines, and the hefty 60lbs / 27kg force rating means it can hit as hard as you need it to.

In fact, other than the price, my only real complaint is that it’s a rather sizeable massage gun, which likely rules it out for travel.

Theragun Pro: Specifications Theragun Pro: Price and availability

(Image credit: Future)

• Available now
• Priced at $599 / £499/AUD$799

The latest version of the Theragun Pro is expensive, at $599, but it’s regularly discounted closer to $500/£499/AUD$799. Just be sure you’re picking up the latest version if you want that quieter motor.

Sadly, they’re named the same, but you can tell if you’ve got the older version because it has a black inner ring on the colored circle on the body.

• Value score: 5/5

Theragun Pro: Design

(Image credit: Future)

• One color option
• Adapter included
• Multiple attachments

The Theragun Pro looks how you’d expect a modern Theragun model to look, with that distinctive circle and a comfortable handle.

There’s only one colorway, with the black body surrounding a metallic blue trim, but it looks good, and I prefer it to the white version of the Sense. As mentioned above, though, it’s chunky – I’ve got large hands so I was fine, but my partner found it a little trickier to get her hands around it when administering a back massage.

Thankfully, it’s not uncomfortable, just a little unwieldy. It’s nice and easy to switch between attachments (more on those shortly), while there’s an OLED display that offers the option to jump right into a guided massage routine or just get started quickly – ideal for a post-gym blast.

• Design score: 5/5

Theragun Pro: Performance

(Image credit: Future)

• Powerful motor
• Power adapter included
• Six attachments

With 60lbs / 27kg of force, the Theragun hits as hard as you can take, and I particularly appreciated the QX150 motor, paired with the extendable arm, for hitting those hard-to-reach spots while still offering consistent output.

There are six attachments in the box, as has become Theragun’s standard, meaning you can expect Standard Ball, Dampener, Thumb, Wedge, SuperSoft, and Micropoint options. They come in their own case, too, while the unit itself has a case. Speaking of accessories, I’m really pleased the power adapter, missing from the Theragun Sense, is included here.

I’ve been using the guided massage functionality to work over multiple muscle groups after the gym or a 5K run, and I’ve found that it’s reduced a lot of the tightness in my hamstrings and calves, helping me feel like I can get out again sooner.

There are four routines included, with an OLED screen making it easy to switch between them; Sleep (for bedtime routines), Warm-up and Recovery (which are obvious), and one for a quick blast of massage via Theragun Break.

The motor is quieter than the previous generation, which makes it more conducive to using later at night, while the customizable speed range means you can go as fast or as slow as you want - or can handle.

• Performance score: 5/5

Theragun Pro: Scorecard Theragun Pro: Should I buy it?

(Image credit: Future) Buy it if...

You’re looking to recover more quickly

I’ve seen a definite uptick in my recovery times, meaning I’m able to exercise more regularly.

View Deal

You want a lot of power

The Theragun Pro is one of the more powerful options available, meaning it may work better than softer touch models.

View Deal

Don't buy it if...

You want something more portable

Theragun offers drastically smaller options, like the Mini, for regular travelers.

View Deal

You’re just getting started

Not sure self-massage is for you? It might be worth considering a cheaper option before dropping so much cash on the Theragun Pro.

View Deal

Also consider

Theragun Sense

This smaller Theragun model is much easier to travel with, and has features like breathing exercises, too.

Read our full review

Bob & Brad D6 Pro

Another large massage gun, this powerful option is ideal for experienced self-massages and offers plenty of guidance if you’re OK reading the manual.

Read our full review

How I tested

I tested the Theragun Pro multiple times a week, after a weightlifting session at the gym or a run, as well as using it before bed to wind down.

For those managing software development teams, balancing the need for cybersecurity with the pressure to deliver projects on time is no small task. There’s often a perception that security tasks will slow down the development process, introducing potential bottlenecks to release times. In fact, our recent research found that 61% of developers are concerned about security getting in the way of their workflow.

As with any project one of the most important aspects is aligning everyone towards the same goal which is, ultimately, safe and reliable applications. This means making the right choices when it comes to security so that their time is focussed on developing rather than fixing problems. After all, it’s far less disruptive and costly to deal with any software issues (including security ones) early on in the life cycle, rather than to have to rework an application, or pull it entirely to make fixes, once it’s running.

The key is embedding application security measures for your developers so that they are equipped with the tools and knowledge they need for it be seamless and as low-friction as possible.

Prioritizing for impact

Effective business app security begins with prioritization. Development teams have limited time, so they need to focus on the vulnerabilities that are most critical. Prioritizing vulnerabilities involves assessing their severity, exploitability and the criticality of the application they reside in.

A strong security toolset should incorporate mechanisms to accurately classify vulnerabilities. For example, vulnerabilities should be prioritized based on CVSS (Common Vulnerability Scoring System) scores, which consider factors like the ease of exploitation and potential impact. Additionally, existing security tools should integrate with threat intelligence feeds to correlate vulnerabilities with known exploits in the wild, enabling developers to focus on those issues that pose the most immediate risk.

Security testing should be conducted at multiple stages of the app development lifecycle. Traditionally, security testing included Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST). But there are more things to consider now, such as Software Composition Analysis (SCA), container security, and Infrastructure-as-Code (IaC) security. And as it pertains to prioritization, even runtime protection provides data that can be correlated with SAST, SCA, etc., data to help prioritize. SAST can identify vulnerabilities in the source code, allowing developers to address issues before the code is even compiled.

Dynamic Application Security Testing (DAST) should follow in later stages, providing a comprehensive approach that ensures no critical vulnerabilities slip through the cracks. Prioritizing vulnerabilities at each stage helps keep development on track while maintaining a strong security posture.

Integrating security into the development workflow

Applications today are far more complex than they were just a few years ago. More than 50% of developers are now utilizing AI in their workflows, and the modern application is composed of multiple components: proprietary source code, open-source libraries, and even AI-generated code. This introduces new layers of security and legal risks, making it increasingly challenging for developers to stay ahead of potential vulnerabilities.

So, for security to become an integral part of the software development process, project leaders must introduce processes and practices that can easily incorporate security measures into the developer’s general workflow. It’s about making their life easier, instead of adding a load of new responsibilities on their shoulders.

Automating AppSec processes is a great solution here. Automated security scanning can be integrated as part of the CI/CD pipeline, with the results automatically brought into the IDE. From here, they can check in their code for us to scan for vulnerabilities and, with the results at hand to rectify any issues as needed. This immediate feedback loop allows teams to catch and address vulnerabilities—such as an SQL injection—as early as possible. Real-time feedback on secure coding practices is provided in the IDE as a developer writes code, reinforcing secure coding practices, which are crucial as the complexity of applications grows.

In addition to IDE integration, security checks should also be part of the source control management (SCM) system. Automated security checks during code commits or pull requests ensure that vulnerabilities are flagged before they are merged into the main branch. This early intervention helps prevent insecure code from entering production. In cases where vulnerabilities are found, automated systems can immediately generate bug tickets with detailed descriptions of the issue and guidance on how to resolve it, streamlining the remediation process.

With the rise in the use of third-party and AI-generated code, automated code reviews are also essential for maintaining security standards. These reviews can be configured to enforce coding best practices and flag common security issues like improper input validation, insecure configuration, or poor error handling. By integrating these reviews into the development workflow, teams can ensure that security is built into every stage of the process, from the first line of code to deployment.

Empowering developers through knowledge and tools

Even with the best security tools in place, developers need the right support to effectively resolve vulnerabilities. Security tools should do more than just flag issues; they should offer actionable remediation guidance alongside vulnerability reports. When a vulnerability is identified, developers should be equipped with the context they need to understand not only that a problem exists, but also why it exists and how to resolve it efficiently. Providing relevant code examples or references to documentation can help developers address vulnerabilities swiftly without having to spend unnecessary time researching solutions.

To further empower developers, it's essential to invest in building a strong foundation of secure coding practices. Security training should be viewed as a core part of a developer's professional development, offering continuous learning opportunities through e-learning platforms or in-person workshops. Practical, hands-on exercises are key to helping developers apply what they’ve learned to real-world scenarios. Topics like cross-site scripting (XSS), SQL injection, and insecure deserialization should be covered extensively, along with best practices to prevent these vulnerabilities.

Over time, as developers participate in ongoing security training, their knowledge will naturally integrate into their daily workflows. This proactive approach to security ensures that they write secure code from the start, reducing the number of vulnerabilities introduced into the codebase.

In short, application security should be seen as an integral part of development, not a roadblock. Prioritizing vulnerabilities, integrating security into existing workflows, and empowering developers with the right knowledge and tools are key strategies for maintaining both speed and security in software projects.

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A new study by Kyndryl has claimed the vast majority (90%) of leaders are confident that their firm’s IT infrastructure is ‘best in class’ - but that's just about the only thing they are confident in.

When pushed further by researchers, executives began to falter in their certainty. Despite the confidence, only 39% believe their tech is ‘future ready’, and 64% of CEOs are concerned their IT is either outdated, or end-of-life, which sounds less than ideal.

The faith in IT systems also falters when it comes to dealing with threats, as 65% are concerned about cyberattacks, and cybersecurity ranks as a ‘very significant challenge’ for 56% of firms.

A race to modernization

In a similarly paradoxical finding by researchers, 86% of respondents claim their AI implementation is again best-in-class, but yet only 29% believe their AI tools are ready to manage future risks. So, presumably there’s going to be a huge day of reckoning some time soon where millions of perfectly healthy IT systems become obsolete.

“Forty-four percent of the inventory Kyndryl holds for its customers consists of end-of life or end-of-service technology – making it more vulnerable to cyber-attacks, as well as at higher risk for prolonged outages,” the company noted.

“In practical terms, that means almost half of the world’s most critical infrastructure is not resilient and has to be upgraded.”

Studies have shown outdated tech not only leaves organizations vulnerable to attacks, but also costs them to maintain, so it’s a good idea to review and update systems where possible.

Whilst simultaneously end-of-life and best-in-class, respondents say tech is outpacing the training that IT professionals are receiving, as 40% of leaders report a skills gap that is impeding the modernization process.

The take-away from the report is there probably needs to be a deeper understanding from executives about their systems and how they can be modernized.

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