Malaysia to Require Permits on Trade of High-End US AI Chips
The license requires any individual or firm to notify authorities at least 30 days prior to exporting, transhipping or bringing in transit goods, if the individual or company knows or have reasonable grounds to suspect the item will be misused, or used for a restricted activity, the Ministry of Investment, Trade and Industry said in a statement on Monday. The policy is effective immediately.
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Yahoo
17 minutes ago
- Yahoo
Exclusive-China-linked hackers target Taiwan's chip industry with increasing attacks, researchers say
By AJ Vicens (Reuters) -Chinese-linked hackers are targeting the Taiwanese semiconductor industry and investment analysts as part of a string of cyber espionage campaigns, researchers said on Wednesday. While hacking to steal data and information about the industry is not new, there is an increase in sustained hacking campaigns from several China-aligned hacking groups, researchers with cybersecurity firm Proofpoint said in a new analysis. 'We've seen entities that we hadn't ever seen being targeted in the past being targeted,' said Mark Kelly, a threat researcher focused on Chinese-related threats at Proofpoint. The previously unreported hacking campaigns were carried out by at least three distinct Chinese-linked groups primarily between March and June of this year, with some activity likely ongoing, Proofpoint said. They come amid rising restrictions by Washington on exports to China of U.S.-designed chips that are often manufactured in Taiwan. China's chip industry has been working to replace its dwindling supply of sophisticated U.S. chips, especially those used in artificial intelligence. The researchers declined to identify the hacking targets, but told Reuters that approximately 15 to 20 organizations ranging from small businesses, analysts employed by at least one U.S.-headquartered international bank, and large global enterprises faced attacks. Major Taiwanese semiconductor firms include Taiwan Semiconductor Manufacturing Co, MediaTek, United Microelectronics Corp, Nanya Technology and RealTek Semiconductor. TSMC declined to comment. MediaTek, UMC, Nanya and RealTek did not respond to requests for comment. Reuters was unable to identify the specific hacking targets or determine whether any of the efforts were successful. A spokesperson for the Chinese embassy in Washington told Reuters in an email that cyber attacks 'are a common threat faced by all countries, China included,' and that the Asian country 'firmly opposes and combats all forms of cyber attacks and cyber crime — a position that is consistent and clear.' The activity ranged from one or two emails sent as part of the more targeted campaign focused on specific people, to as many as 80 emails when trying to gain information from the company at large, Kelly said. One group targeted semiconductor design, manufacturing and supply-chain organizations using compromised Taiwanese university email accounts to pose as job seekers and send malware via PDFs with URLs leading to malicious files, or a password-protected archive. Another targeted financial analysts at major unnamed investment firms focused on the Taiwanese semiconductor industry by posing as a fictitious investment firm and seeking collaboration. Two of the entities are based in Asia, while the third is based in the U.S. The FBI declined to comment. A representative of TeamT5, a cybersecurity firm based in Taiwan, told Reuters that it had also seen an increase in emails being sent targeting the semiconductor industry tied to a few hacking groups, 'but not a wide or general phenomenon.' Targeting of semiconductors and the supply chain around them 'is a persistent threat that has existed for long,' the representative said, and a 'constant interest' for Chinese-related advanced hacking operators. These groups often target 'peripheral suppliers or related industries,' the representative said, such as a situation in June where a China-linked hacking group identified by TeamT5 as "Amoeba" launched a phishing campaign against an unnamed chemical company that plays a critical role in the semiconductor supply chain.
Yahoo
17 minutes ago
- Yahoo
India eyes global quantum computer push — and QpiAI is its chosen vehicle
QpiAI, an Indian startup that claims to integrate AI and quantum computing for enterprise use cases, has raised $32 million in a new funding round co-led by the Indian government as the company aims to expand its presence and develop utility-scale quantum computers for markets around the world. The Indian government's $750 million National Quantum Mission has co-led QpiAI's all-equity Series A round, alongside Avataar Ventures, at a post-money valuation of $162 million. The funding reflects India's broader push to establish itself as a quantum computing power. Launched in 2023, the National Quantum Mission is an Indian government initiative that views quantum computing as both an economic opportunity and a national security imperative. The program aims to help develop intermediate-scale quantum computers with 50–1,000 physical qubits within 8 years across platforms including superconducting and photonics. It also targets the development of satellite-based quantum communications, inter-city quantum distribution, multi-node quantum networks, magnetometers, and the design and synthesis of quantum materials, including superconductors, semiconductor structures, and topological materials for quantum device fabrication. QpiAI is one of eight startups selected by the National Quantum Mission, each receiving an initial grant of up to $3.5 million. Among these companies, the Bengaluru-headquartered startup, which has subsidiaries in the U.S. and Finland, says it has built India's first full-stack quantum computer, called QpiAI-Indus, which it launched in April with 25 superconducting qubits. Founded in 2019, QpiAI says it integrates quantum computing and AI to provide optimization capabilities in areas such as manufacturing, industrial, transportation, finance, pharma, and materials. The startup says it has developed specialized software, along with its proprietary hardware, to support real-world quantum applications in fields such as materials science and drug discovery. 'Quantum can really make sure AI is robust,' said QpiAI founder and CEO Nagendra Nagaraja in an interview. The startup views simulation, drug synthesis, and material discovery as some of the key use cases where the combination of AI and quantum could provide a competitive edge. 'Because the design space of a quantum chip is very, very big, and to actually get optimal qubits, which is important when we integrate thousands of qubits to get logical qubits for error correction, AI plays a bigger role there,' Nagaraja told TechCrunch. QpiAI plans to launch its 64-qubit quantum computer in November, with availability to customers expected by the second or third quarter of next year, Nagaraja said. The company is also working to start manufacturing its quantum hardware locally in 2026. Currently, it assembles 80% of its machines in-house. QpiAI employs a 100-person team, comprising 25 PhDs from international institutions or from Indian institutes. About 50 of its employees are based in India. The company says it has around 20 customers in India and the U.S., including the Indian government, which uses its infrastructure to test algorithms. According to the company, QpiAI has been profitable at EBITDA level for the past three years, with approximately 60% gross margins and 20% to 30% net margins, Nagaraja told TechCrunch. With the fresh funding, QpiAI plans to enter new markets including Singapore and the Middle East. It also aims to allocate funds for its local manufacturing plans and scale its operations to develop a 100-logical qubit system by 2030. In June of last year, QpiAI raised $6.5 million in a pre-Series A round led by Yournest and SVCL at a post-money valuation of around $30 million. Nagaraja told TechCrunch that QpiAI has a three- to four-year runway, even without accounting for its profitability. He also said the startup is considering an initial public offering in either 2026 or 2027. The National Quantum Mission's support extends beyond QpiAI. The Indian government's program is also backing startups such as QNuLabs (working on quantum-safe networks), Dimira Technologies (cryogenic cables), Prenishq (diode-laser systems), and QuPrayog (optical atomic clocks). It has also supported Quanastra (cryogenic systems and superconducting detectors), Pristine Diamonds (diamond-based sensing materials), and Quan2D Technologies (single-photon detectors for quantum communication). 'We plan to continue to support home-grown product companies like QpiAI to help them expand into large enterprises and position India as global leaders in quantum technologies,' said Ajai Chowdhry, chairman of India's National Quantum Mission, in a prepared statement.
Yahoo
37 minutes ago
- Yahoo
Watch These Nvidia Price Levels as Stock Surges on News That China Chip Exports to Resume
Key Takeaways Nvidia shares jumped Tuesday morning after the AI investor favorite said it plans to resume selling one of its most popular chips to China. After reclaiming the 200-day moving average in mid-May, Nvidia shares have continued to trend higher, though trading volume and volatility have contracted. Trend analysis, which takes the stock's move higher throughout June and repositions it from this month's low, projects a near-term price target of around $178. Investors should watch key support levels on Nvidia's chart around $159, $150 and $ (NVDA) shares jumped premarket trading on Tuesday after the AI investor favorite said it plans to resume selling one of its most popular chips to China. The chipmaker, which recently became the first company in the world to reach a $4 trillion market capitalization, said it's filing applications with the U.S. government to resume sales of its H20 graphics processing unit (GPU) and has been given assurances that licenses will be granted. Nvidia also unveiled a new chip specifically for China called the RTX Pro GPU, which the company said is fully compliant with U.S. export controls and suitable for use in smart factories and logistics. Through Monday's close, Nvidia shares had gained nearly 90% from their early-April low and were up 22% since the start of the year, as major tech companies continue to ramp up spending on AI infrastructure that depends on the company's chips. The stock was up more than 4% at around $171 before the opening bell on Tuesday. Below, we take a closer look at Nvidia's chart and use technical analysis to identify key price levels worth watching out for. Uptrend Continues, Trading Volume Contracts After reclaiming the closely watched 200-day moving average (MA) in mid-May, Nvidia shares have continued to trend higher, a move that has coincided with the relative strength index staying near its overbought threshold for most of that time, signaling strong price momentum. In another win for the bulls, the 50-day MA crossed back above the 200-day MA in late June to form a golden cross, a bullish chart pattern that points to a new trend higher. However, trading volume and volatility have contracted in recent months, suggesting market participants may be waiting for the chipmaker's earnings report next month before deploying further capital. Let's analyze the technicals on Nvidia's chart to project where the shares may be headed if the uptrend continues and also identity support levels worth watching during potential retracements in the stock. Where are Nvidia's Shares Headed Next? Investors can apply bars pattern analysis to predict how the stock's current trending move may play out. When applying this technique to Nvidia's chart, we take the stock's trend higher throughout June and reposition it from this month's low. This projects a price target of around $178, implying about 8% upside from Monday's closing price. We selected this earlier trend as it followed a minor profit-taking dip, closely mimicking the current price action after a similar brief pullback at the start of July. Key Support Levels Worth Watching The first lower level worth watching sits around $159. Retracements in the stock could initially find support near last month's high. Selling below this level could see the shares touch support near the key $150 level. Investors may look for buying opportunities in this location near a series of peaks that formed on the chart between November and January. Finally, a more significant pullback in Nvidia shares opens the door for a retest of lower support around $143. This area may attract buying interest near a consolidation period that developed on the chart in mid-June, which also aligns with a range of corresponding trading activity stretching back to late October. The comments, opinions, and analyses expressed on Investopedia are for informational purposes only. Read our warranty and liability disclaimer for more info. As of the date this article was written, the author does not own any of the above securities. Read the original article on Investopedia Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
