In today’s globalized world, the pursuit of career advancement often leads individuals to seek opportunities beyond their home countries. Europe is emerging as a prime destination for professionals looking to enhance their careers. However, navigating the complexities of immigration and job placements can be daunting. This is where Europe job consultants play a pivotal role, acting as guides through the labyrinth of regulations, cultural nuances, and job market dynamics.
Engaging with Europe job consultants comes with a plethora of advantages:
The journey to securing a job in Europe often involves several steps. Below is a simplified overview:
Depending on your situation, various visas may be available:
| Visa Type | Description | Eligibility |
|---|---|---|
| Blue Card | For highly skilled workers from non-EU countries. | Qualifications and job offer required. |
| Work Permit | A general visa for employment. | Sponsored by an employer in Europe. |
| Student Visa | For those studying in Europe. | Enrollment in a recognized educational institution. |
While the benefits of hiring Europe job consultants are clear, it’s essential to understand the associated costs:
Many candidates make avoidable errors during the process. Here are a few:
Meet Sarah, a software engineer from India. With dreams of working in Germany, she turned to Global Immigration Network for assistance. Through personalized consultations, she received tailored job recommendations and interview coaching. Within months, Sarah secured a position in Berlin and successfully navigated the visa application with the help of her consultant. Today, she enjoys a thriving career and a fulfilling life in Europe.
The timeline varies based on the visa type and individual circumstances, but typically ranges from a few months to over a year.
Yes, sectors like technology, healthcare, and engineering frequently report higher demand for skilled workers.
Most visa types allow you to apply for family reunification, enabling family members to join you in Europe.
Securing a job in Europe is a transformative journey, and with the right guidance from Europe job consultants, the path becomes much clearer. From understanding visa types to navigating job applications, expert consultants are invaluable allies in this endeavor. If you’re ready to take the leap into international opportunities, reach out to the Global Immigration Network today at www.globalimmnetwork.com and start your adventure toward a successful career in Europe!
By Shimul Sood Google is bringing Gemini to cars, promising more natural conversations and smarter in-car assistance that actually understands what you mean.
Source:: Digital Trends
By Adarsh Verma Waiting in line for a midnight game release or scrambling to find a sold-out gaming headset…
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Source:: Fossbytes
By Rachit Agarwal Apple’s AI smart glasses will feature dual cameras and hand gesture controls, with a stripped-down feature set designed to keep the device slim, light, and long-lasting.
Source:: Digital Trends
By Deepti Pathak The April version of ColorOS 16 by OPPO India has started to be released to bring…
The post ColorOS 16 April Update: OPPO India Adds Football Highlights and Video Improvements appeared first on Fossbytes.
Source:: Fossbytes
By Shimul Sood Apple has quietly walked away from the Vision Pro, disbanding its internal team and shelving future models — marking a costly end to the company’s most ambitious and least successful product in years.
Source:: Digital Trends
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By Shimul Sood A team of researchers has built a tool that maps how cities actually function — using nothing but anonymous cell phone data.
Source:: Digital Trends
By Manisha Priyadarshini KitKat has unveiled a chocolate wrapper that doubles as a Faraday cage, blocking all phone signals the moment your device slides inside.
Source:: Digital Trends
By Ana-Maria Stanciuc The discussions, triggered by a visit from Nvidia’s Madison Huang, would deepen LG’s physical AI ambitions and give Nvidia another major consumer electronics partner at a moment when physical AI is moving from lab to factory floor. LG Electronics confirmed on Wednesday that it has been in discussions with Nvidia over potential cooperation in three […] This story continues at The Next Web
Source:: The Next Web
Apple is building new AI photo editing tools to introduce with its next major software updates this fall, and these won’t be the only AI tools and services it wants to talk about at the Worldwide Developers Conference (WWDC) in a few weeks’ time.
While it is correct to say Apple has had setbacks in AI development, it has also had successes. Was it ready for the generative AI (genAI) juggernaut? Probably not, nor has it successfully developed its own response in-house. Is Apple’s platform ready for AI? Indisputably, with the power and performance across all its hardware products to run AI on the edge, in the cloud, and as-a-service. Right now, Apple doesn’t offer the world’s best AI services, but does offer the world’s best platform on which to run them.
Given you can’t have one without the other, no matter how you slice and dice it, Apple has therefore seen partial success in AI. Now, it just needs to add the software and the services, about which we’ll find out much more in June.
What can we expect from the New Apple AI?
Apple’s AI photo editing updates will join the existing Clean Up tool and include tools that include Extend, Enhance, and Reframe:
Extend: Extends an image beyond the original frame using the source image as a guide, this works in a similar way to Adobe Photoshop’s Generative Expand.
Enhance: Scan the image and optimize it improved color, lighting, and other effects.
Reframe: A spatial feature that can shift the perspective of an image, so a photo of the side of someone’s head can become a portrait shot, thanks to AI.
Bloomberg tells us development of these new tools isn’t yet complete and warns they may be delayed, though that only makes it possible they will arrive later in the iOS 27 beta testing process. We know the company is working on additional tools.
We also know Apple will improve Siri and expand other Apple Intelligence features. To accomplish this, its engineers are working with Google Gemini to build dedicated large language models (LLMs) capable of running on the devices themselves, or via its own Private Cloud Compute. The company also intends to roll out a dedicated Siri app with a chat interface similar to that used by all the other genAI services, such as ChatGPT.
The idea that Apple will turn Siri into an app implies plans to permit users to download alternative LLM-based apps to use. Apple likely recognizes it might need to provide that level of choice to avoid giving regulators yet another stick to slap it with.
Big plans for AI services
Apple’s actions in AI show that its management believes AI services are likely to become commodities, which means they will continue to be highly reliant on the platforms where they run, which is good news for Apple’s hardware. Apple’s move to secure its processor development road map with more advanced 1.4nm and smaller chips over the coming years will only build up the company’s advantage. As Apple Senior Vice President Johny Srouji put it, the recently introduced M5 chip “ushers in the next big leap in AI performance for Apple silicon.” He means it — and when it comes to hardware, Apple knows to expect imitators.
The approach also suggests the company will offer AI services via an App Store for AI. You might purchase or subscribe to AI agents for specific tasks via a customer-focused App Store, for example. Offering these commodities via a dedicated online portal makes sense, while the company’s famed curation model means customers will be able to use those agents in relative confidence that their data isn’t being swiped in the process.
If I’m right, then the face of Apple’s so-called “AI failure” looks liked a combined hardware/software/services model in which customers have complete choice in which breeds of AI services they want to use, boosted by an App Store for useful AI services, Apple’s own Apple Intelligence tools supported by Google Gemini, all running happily on best-in-the-industry hardware with enough horsepower to handle most tasks natively.
Now, I may be an Appleholic, but I find it pretty difficult to see that connected AI ecosystem as much of a failure at all. I predict at WWDC 2026 we’re going to see the story change from one of losing the AI race to another fable of iconic AI recovery. That’s assuming, of course, the company manages to meet its own promises this time.
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Source:: Computer World
By Ana-Maria Stanciuc Beijing’s commerce ministry has formally submitted a 30-page document warning the European Commission that its draft Cybersecurity Act, which would make vendor removal mandatory for the first time, could trigger reciprocal measures against European companies in China. China has formally threatened the European Union with retaliation if a sweeping new cybersecurity law leads to the […] This story continues at The Next Web
Source:: The Next Web
EU member states and the European Parliament failed to agree on changes that would have softened the bloc’s AI Act and pushed back its toughest enforcement deadlines.
The talks ran for about 12 hours on Tuesday and ended without an agreement, Reuters reported, citing a Cypriot official who said it had not been possible to reach a deal with Parliament. Cyprus holds the rotating presidency of the EU Council, which negotiates on behalf of member states. According to the report, the talks broke down over the insistence by some member states and lawmakers that industries already covered by sectoral safety rules be left out of the AI legislation.
Tuesday’s session was the last political trilogue on the Digital Omnibus on AI scheduled before formal adoption, according to the European Parliament’s legislative tracker. Talks will resume in May, and if no deal is reached before August 2, the AI Act’s high-risk obligations will apply that day as originally drafted.
The European Parliament’s co-rapporteurs on the file, Arba Kokalari and Michael McNamara, were scheduled to brief journalists in Strasbourg on Wednesday on the negotiations to update EU rules, but the briefing was cancelled at the last moment.
Neither of the rapporteurs’ offices immediately responded to a request for comment. The Cypriot presidency press service also did not respond by the deadline.
Why were the deadlines to be pushed back
The Digital Omnibus on AI, which the trilogue was meant to finalise, was proposed by the European Commission on November 19 last year. The Commission framed it as part of a wider effort to simplify the EU’s digital rulebook for businesses, in response to the Draghi report on EU competitiveness.
Both the Council and the Parliament had agreed before trilogue that the deadlines should be pushed back. The Council, in its March 13 negotiating mandate, proposed new dates of “2 December 2027 for stand-alone high-risk AI systems, and 2 August 2028 for high-risk AI systems embedded in products.” Parliament voted to adopt the same dates on Mar. 26 by 569 votes to 45, with 23 abstentions.
The deadlines were pushed back because the technical standards that companies need to demonstrate compliance with are not ready. Communications from CEN-CENELEC’s Joint Technical Committee 21, which is drafting the standards, suggest the full set may not be available before December 2026, according to a client note from law firm Morrison Foerster.
What Council and Parliament could not agree on was an exemption Parliament wanted for AI used in products that already fall under EU safety rules, such as machinery, toys, and medical devices, the report added.
The exemption “faced limited enthusiasm in the Council, with different compromise proposals being discussed,” the Center for Democracy and Technology Europe said in its April bulletin.
Consumer, medical, and academic groups have opposed the exemption. Forty such organisations warned in an open letter earlier this month that the proposals “still risk reopening core elements of this framework, crucially weakening the AI Act.”
For affected industries, the case for the exemption is the cumulative compliance burden, said Neil Shah, vice president for research and partner at Counterpoint Research. “In already highly regulated industries such as medical, an additional AI regulation further increases compliance and headaches for the enterprises,” he said. “Complying with both physical and digital safety is important, but there has to be a way to reduce the compliance burden and be answerable to a single regulatory authority.”
What happens next
CIOs should treat August 2 as a hard deadline regardless of what happens in May, Shah said. “I believe CIOs are in a tough spot right now. They should be prepared, irrespective of the regulatory limbo, and treat this summer as a hard deadline. If it gets delayed, then it’s a bonus and if not, then it would be a regulatory risk.”
If lawmakers fail to land a deal before August 2, the high-risk obligations apply as drafted, regardless of whether harmonised standards or national enforcement authorities are ready. Patchy readiness across member states does not reduce the risk for businesses, said Enza Iannopollo, vice president and principal analyst at Forrester.
“It’s obvious that if the authorities responsible for enforcing the rules are not in place, there won’t be enforcement, despite the deadlines,” she said. “But Member States can accelerate that process and put those authorities in place rather quickly. Some countries have already named them. The risk is that businesses lose track of developments across each Member State and find themselves exposed to regulatory scrutiny and fines.”
Other parts of the AI Act will keep moving on their original schedule. The prohibitions on unacceptable-risk AI have applied since February 2025. The general-purpose AI rules came into force in August 2025. The transparency obligations under Article 50, including disclosure for chatbot interactions and labelling of deepfakes, are set to apply from August 2.
For CIOs, Iannopollo said, the underlying compliance work continues regardless of trilogue politics. “Waiting is not an option. CIOs must start building the foundations of AI governance and compliance,” she said. “If they are not inventorying their AI use cases, assessing risks in light (also) of the EU AI Act’s risk categorisation, and defining risk management measures, they risk not only fines. They risk reputational damage and the inability to effectively scale their AI initiatives.”
The Cypriot presidency runs until June 30, after which Ireland takes over.
Source:: Computer World
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By Allison Steffens Herrera South Africa’s Department of Communications and Digital Technologies spent months drafting a national artificial intelligence policy. It proposed a National AI Commission, an AI Ethics Board, an AI Regulatory Authority, an AI Ombudsperson, a National AI Safety Institute, and an AI Insurance Superfund. It outlined five pillars of AI governance: skills capacity, responsible governance, ethical […] This story continues at The Next Web
Source:: The Next Web
By Alina Maria Stan OpenAI called the report “prime clickbait.” It said its business is “firing on all cylinders.” It issued a joint statement from CEO Sam Altman and CFO Sarah Friar declaring they are “totally aligned.” None of it worked. On Tuesday, after the Wall Street Journal reported that OpenAI had missed internal revenue and user growth targets, […] This story continues at The Next Web
Source:: The Next Web
When Apple rolled out hardware chief John Ternus as the CEO to replace Tim Cook, the reaction was kind but muted. That’s because Ternus has said nothing yet to indicate he has a specific plan to position Apple for the future. (To be fair, he’s said next to nothing about anything — no easily found social media posts, no big speeches about anything beyond hardware, no major interviews showcasing his vision.
I have long been a fan of Apple, but the “i” people have a lot of problems. Their failure to make Apple an AI leader — not the leader, just a leader — has dominated headlines for two years now. But the truth is that Apple has spent years without the passion and drive that marked the second coming of Steve Jobs as CEO.
The clearest example involves the iPhone and the Apple Watch. I used to routinely upgrade my devices once a year, or at least every two years. I am sitting here now with an iPhone 13 Pro Max and an Apple Watch Series 7–the same devices I’ve had for almost five years.
Each year, I’d get excited about Apple’s new devices and look for just one clean reason to upgrade. I didn’t find it. The promise of AI was intriguing, but Apple didn’t deliver. The iPhone camera kept getting better, but my photos look just fine already.
Apple did deliver one feature that would have made me upgrade: allowing an iPhone to record and quickly transcribe calls. But the company then rolled it out to all devices, meaning it offered little to push new iPhone sales. (Of course, Apple never bothered to tell users the transcription feature has a roughly 30-minute limit. For a guy who often does hour-long interviews, that’s a problem; I’m forced to stop a recording at the 25-minute mark and reactivate it. *Sigh*)
As for AI, I would love for the iPhone to actually be intelligent about all of the data swimming within its case. For example, as a reporter, I have apps for a large number of news organizations. On one election night, I got 16 alerts that a Senate race had been called. I don’t need 16; I just need one. If Apple Intelligence were really intelligent, it would understand that. It should also understand that when I’m driving to an appointment, I don’t need a calendar alert 15 minutes before my meeting when the phone should know — based on my destination and routing in Apple Maps — that I’m on the way.
All those little missteps add up. One of the critical talents a CEO at a company as large as Apple needs is either vision or a passion that can pass for vision.
This brings us to the inevitable comparison between Jobs and Cook. Jobs was passionate, persuasive, inspirational and he truly had a plan for future products based on his gut feeling of what users would want or need. But Jobs was also undisciplined, harsh, and abrupt and someone who wasn’t always worried about the truth.
He was, therefore, a great business leader, but he had help. (Keep reading for more.)
Cook was nearly the opposite of Jobs. He was precise, methodical, detail-oriented and he for the most part treated people well and with respect. But his speeches were lackluster and I have yet to meet anyone who dubbed him electric or inspirational. He was privately passionate about his work, but that passion rarely surfaced in public.
Here’s my point about Jobs’ success: He did so well because he had Cook as a senior deputy. Having the ultimate technocrat in place allowed Jobs to focus on the bigger-picture future.
There’s been chatter on LinkedIn suggesting that Cook was a weaker CEO than Jobs. There’s a valid argument for that, but many do not give credit to Cook for helping Jobs perform as well as he did.
Earlier in Cook’s tenure, he did have one executive with a healthy chunk of the Jobs passion: Jony Ive. But Ive got tired of the technocratic nature of his boss and left in 2019 to work elsewhere. Turns out the best leadership duo is a visionary CEO with a technocrat deputy. It doesn’t seem to work the other way around.
Customers and employees also want to see passion and vision from a CEO directly. And that brings us to the upcoming change.Can Apple under CEO Ternus get its AI act together? That is the big mystery.
Apple certainly has the money and the clout to make AI work from either side of the buy/build path. But does it have a vision of what customers want — or more precisely, what they need?. Jobs had the knack for correctly guessing what customers would want once they got it, even if they didn’t yet know they needed it.
Justin Greis, CEO of consulting firm Acceligence and former head of the North American cybersecurity practice at McKinsey, sees Ternus as an executive “who has also [along with Cook] been heads down on execution mode his entire career and he’s an insider. He knows how to keep (Apple) in its lane.”
Greis goes with the crowd in pinning most of his Apple hopes on AI. “If you look at the big AI companies, Apple is not on the map. Everybody is outpacing them. Siri simply doesn’t have the power that is needed to be valuable for their end-users.”
The AI magic is really not about simply using AI on-device. It’s about the value that can be delivered by a sophisticated integration of literally every piece of information coursing through a phone, your watch, a Mac or an iPad.
A few years ago, people saw Apple as a gatekeeper controlling access to Siri. Back then, the assumption was that access to Siri would be worth tons of money. No longer. Plenty of people now use their iPhone to access generative AI offerings from a variety of Apple’s AI rivals.
Apple can still win the AI mindshare battle, but only if it can truly deliver intelligent integration of everything that interacts with the phone. That package could be offered solely through Siri, allowing Apple to again control the almighty gateway. Sure, an iPhone user can access Claude or Perplexity — but if only Apple’s knighted partner can analyze your calendar, your contacts, your call history, your travel plans, your bank account, your photos, etc.— companies will again be willing to pay for access.
That’s where Apple gold lies. The question is whether Ternus can mine it.
Source:: Computer World
The ongoing shift from generative AI (genAI) to agentic AI provides an opportunity for enterprises to move to more nimble and less expensive forms of computing, according to analysts.
Early AI models were largely built on expensive GPUs from Nvidia and AMD that offered raw processing power. But newer agentic AI tools, rooted in business process and workflow management, can run on more efficient, cost-effective hardware.
As a result, IT decision-makers who still think they require GPUs for anything AI-related need to reconsider their hardware options in terms of both cost and capabilities, analysts said.
“A better way of thinking about this is the cost of AI compute and now agentic AI platform services or systems,” said Leonard Lee, principal analyst at Next Curve. “’AI computing’ or ‘accelerated computing’ has clearly transcended the GPU as an inference accelerator.”
The new hardware options include CPUs and specialized AI chips, also known as ASICs in semiconductor parlance. Although these chips have been around for years, they are now showing real utility as agentic AI goes mainstream.
For one, the CPU — the main chip in any computer — is seeing something of a revival. “The CPU is reinserting itself as the indispensable foundation of the AI era. The CPU now serves as the orchestration layer and critical control plane for the entire AI stack,” Lee said.
CPUs are both power efficient and well-suited for AI on the edge, although specialized low-power chips are more capable depending on the task, said Jim McGregor, principal analyst at Tirias Research. “It will still be more efficient to use an ASIC instead of a CPU, and in most cases it will be less expensive over the life of a platform,” he said.
The growth of inference provides an opening for optimized AI accelerators, which can handle those jobs more efficiently than GPUs, said Mike Feibus, principal analyst at FeibusTech. “…The relative importance of [the] CPU is rising.”
Nvidia — sensing that it needed a low-power chip beyond its power-hungry GPUs — has already introduced an ASIC for inferencing in its hardware stack. And it recently licensed AI chip technology from Groq for $20 billion.
Because Agentic AI involves a different computing model than genAI training on GPUs, enterprises need to consider the hardware options and pricing models available through cloud providers. “It’s more about model management than about model building — and the CPU is critical in providing workflow management,” said Jack Gold, principal analyst at J. Gold Associates.
Pricing variations continue to be an issue. Straight CPU compute is not billed the same as heavy GPU use, making it difficult to nail down costs, Gold said. “GPUs in training use more electricity generically due to near 100% utilization in a training workload, whereas in general-purpose compute, servers and CPUs run more like 40% to 60% utilization,” he said. “But it’s highly variable depending on what the agent is doing.”
Gold predicts that 80% to 85% of AI workloads will move to inference in the next two to three years, especially as tools become more agentic. “CPUs take on a major significance in making everything work. It’s why all the hyperscalers are now loading up on CPUs, not just GPUs,” Gold said.
Major cloud providers Google, Amazon and Microsoft , for instance, have their own CPUs and low-power ASICs for inferencing.
What looks at the moment like a resurgence in CPU demand is actually pointing to a larger issue: the growing complexity of AI infrastructure, said Gaurav Shah, vice president of business development and strategic partnerships at NeuReality.
The overhead around data movement, orchestration and networking is exploding, Shah said. “That’s what’s driving demand — not CPUs doing more AI, but systems struggling to keep up with AI,” Shah said.
Beyond enterprises, genAI companies, AI-native companies and neoclouds all will need to rethink their architecture. “The winners will be the architectures that deliver the most inference per watt, not the most cores per server,” Shah said.
Source:: Computer World
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Source:: Digital Trends
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