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Employees working in Precision’s manufacturing facility

Courtesy: Precision Neuroscience

Neurotech startup Precision Neuroscience announced Thursday it has acquired a factory in Dallas, where it will build the key component of its brain implant, the Layer 7 Cortical Interface. The facility will help the company speed up development and move closer to the regulatory approval it is hoping to clinch in 2024.

The company has started testing its brain implant on human patients and believes it could ultimately help people with paralysis operate digital devices with their brain signals. Precision said the manufacturing plant is the only facility capable of producing its “sophisticated” electrode array.

“It allows us to iterate really quickly, improve performance, longevity, different form factors of the device — all the things that we’ve always wanted to do, we can now do in much quicker succession,” co-founder and CEO Michael Mager told CNBC in an interview. 

Precision’s electrode array is thinner than a human hair and could easily be mistaken for a piece of Scotch tape. The system’s flexible design allows it to rest on the brain’s surface and generate a real-time, high resolution rendering of neural activity without damaging any tissue.

Stephanie Rider of Precision Neuroscience inspects the company’s microelectrode array

Source: Precision Neuroscience

As a member of the fast-growing brain-computer interface (BCI) industry, Precision is developing its technology alongside other companies like Synchron, Paradromics, Blackrock Neurotech and Elon Musk’s Neuralink. Precision’s co-founder and chief science officer, Dr. Benjamin Rapoport, also helped co-found Neuralink before departing the company in 2018.

Neuralink is perhaps the best-known company in the BCI space thanks to the high profile of Musk, who is the CEO of Tesla and SpaceX. The company is taking a more invasive approach with its implant than Precision. Neuralink also manufactures its technology in-house. 

Mager said it can be difficult to make rapid design changes, protect trade secrets and keep supply levels up when working with third parties during the manufacturing process. He added that it’s much easier to ensure that Precision’s arrays are safe and of high quality when the company is directly involved with production.  

“We manufacture systems that go on human brains. The responsibility is really tremendous,” Mager said. 

At the request of the seller, a Japanese multinational corporation, Precision declined to share how much the manufacturing facility cost. Mager said the company was able to retain the 11 “key personnel” who were working there, and there’s a possibility that number will grow with time. Keeping the employees on board was a big victory for Precision, as it meant the company did not have to teach new workers how to handle the complex technology. 

Employees working in Precision’s manufacturing facility

Courtesy: Precision Neuroscience

Precision has been up and running at the facility since May, and it has already made a material difference in the company’s supply levels. Mager said previously that Precision worked with a facility that took over a year to manufacture six arrays, and now, the company can manufacture more than 100 arrays in a single week. 

The arrays coming from the new facility will help Precision keep up with the intense pace of regulatory testing, and it will also aid the company as it gears up for additional human trials at the University of Pennsylvania and at the Mount Sinai Health System in New York City.

“I think, ultimately, the value that we have the potential to create is a lot greater as a result of being in complete control and owning 100% of the facility that is helping to drive all this innovation,” Mager said. “But it is a longer, more capital-intensive game.”  

Precision has been working closely with regulators, but the company still needs to go through several rounds of rigorous safety and efficacy testing before it will receive approval from the Food and Drug Administration to commercialize its technology. 

But the FDA recently gave Precision a nod, as the company announced Thursday it has received a Breakthrough Device designation from the agency. The designation is awarded to medical devices that have the potential to provide improved treatment for debilitating or life-threatening conditions, and the FDA has granted 109 of them in fiscal 2023 so far, according to its website. 

Mager said the designation will open a more frequent line of communication between Precision and the agency that will help expedite the company’s path toward commercialization. He said that with the manufacturing facility, the Breakthrough Device designation and in-patient trials in the works, Precision has the momentum it needs to move forward.  

“It’s never been more exciting,” he said. 

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Toyota raises yearly profit forecast despite an expected $9 billion hit from U.S. tariffs

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Toyota raises yearly profit forecast despite an expected  billion hit from U.S. tariffs

A sign with the Toyota logo in Surrey, England on August, 2023

Peter Dazeley | Getty Images News | Getty Images

Toyota Motor on Wednesday raised the operating profit forecast for its financial year ending in March, while flagging a 1.45 trillion yen hit from U.S. tariffs.

The company, which revised its operating profit outlook to 3.4 trillion yen from 3.2 trillion yen forecast earlier, missed profit estimates for the quarter ended September. 

“Despite the impact of U.S. tariffs, strong demand supported by the competitiveness of our products has led to increased sales volumes mainly in Japan and North America and has expanded value chain profits,” Toyota said in its earnings report.

Here are Toyota’s September quarter results compared with mean estimates from LSEG:

  • Revenue: 12.38 trillion yen (about $81 billion) vs. 12.18 trillion yen
  • Operating profit: 834 billion yen vs. 863.1 billion yen

The world’s largest carmaker by sales volume reported a nearly 28% quarterly drop in profit, year on year, while revenue increased over 8%. Net income reached 972.9 billion yen, up

Toyota released 6-month results — from April to September — and the quarterly numbers have been calculated by CNBC, based on company statement and LSEG data.

The decline in the September quarter’s operating profit represents the second straight drop since the U.S. introduced “reciprocal” tariffs in April. Tokyo in July clinched a trade deal with Washington, bringing down tariffs on its exports to the U.S. to 15% from the 25% initially proposed by President Donald Trump. The 15% duties took effect on Aug. 7.

The company flagged that tariffs remain the largest drag on Toyota’s profit in the U.S., while factors such exchange rate fluctuations and increased expenses hit earnings in Japan, .

A Toyota executive said in the earnings call that the company was “assessing challenges” and “making preparations” for a plan to ship made-in-U.S. vehicles to customers in Japan, as to align with a new investment framework between Tokyo and Washington.

They added that the plan may not be “economically rational,” but could make certain products more available to Japanese customers.

Tariffs bite

The impacts of U.S. tariffs have been sharply felt across Japan’s auto industry, with Japanese shipments of automobiles to the U.S. dropping 24.2% in September, though this was slightly less compared to the 28.4% drop in August.

While Toyota has extensive North American production, about one-fifth of its U.S. sales still depend on Japanese imports and tariff costs on those imports are being absorbed rather than passed through, according to Liz Lee, associate director at Counterpoint Research. 

“We’re expecting profitability to remain under pressure in [the current quarter] as tariff and currency headwinds persist, with gradual improvement likely from the [March quarter] onwards,” Lee told CNBC in a statement.  

“Profitability should recover modestly next fiscal year if trade costs stabilize and the yen weakens, though rising EV competition will continue to cap upside potential,” she added. 

Toyota has increasingly been leaning into electrified vehicles, which accounted for 46.9% of Toyota and Lexus vehicle sales in the first half of its fiscal year. These sales were primarily driven by hybrid electric vehicles in regions such as North America and China.

However, Toyota’s limited lineup of fully electric battery-powered vehicles could leave it more exposed to competition from Chinese EV players in Europe and Southeast Asia, Lee said.

Despite decreasing profits, Toyota has continued to show strong global demand. The company recently reported that vehicle sales, including its luxury brand Lexus, reached 5.3 million in the nine months to September, a 4.7% increase from a year earlier. In it’s earnings report, the company said it would continue to focus on increasing sales volume and cutting costs.

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Nvidia deepens India footprint with $2 billion deep tech alliance to mentor AI startups

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Nvidia deepens India footprint with  billion deep tech alliance to mentor AI startups

Co-founder and CEO of Nvidia Jensen Huang spoke to journalists during a trip to Beijing in July.

Picture Alliance | Picture Alliance | Getty Images

Nvidia will help train and mentor emerging deep tech startups in India as a founding member of a $2 billion investment alliance, deepening its presence in the world’s third-largest startup ecosystem.

The U.S. chipmaker has joined the India Deep Tech Alliance (IDTA) — a group of private equity and venture capital investors pledging $2 billion for deep tech investments — as a founding member. Deep tech startups are an umbrella term for emerging companies in semiconductors, space, AI, biotech, robotics, and energy.

The world’s most valuable company will offer technical talks and training through its Nvidia Deep Learning Institute to emerging startups in India.

Nvidia wants to “provide guidance on AI systems, developer enablement, and responsible deployment, and to collaborate with policymakers, investors, and entrepreneurs,” Vishal Dhupar, Nvidia’s managing director of South Asia, said.

Nvidia did not disclose any financial investment, timeline, or training targets, and did not immediately respond to a CNBC request for comment.

“Nvidia’s depth of expertise in AI systems, software, and ecosystem-building will benefit our network of investors and entrepreneurs,” said Sriram Viswanathan, founding executive council member of the IDTA.

He told CNBC that the pace of innovation is accelerating in India and there could be a “significant number of Indian deep tech companies of global repute” in the next five years.

The Indian government is also actively encouraging research and innovation in the deep tech space through major initiatives, including over 100 billion rupees ($1.1 billion USD) under its AI Mission and a separate 1 trillion rupees ($11.2 billion) Research, Development and Innovation Scheme Fund targeting deep tech companies.

On Monday, Indian Prime Minister Narendra Modi announced that the country will host the AI Impact Summit in February next year.

The event is likely to see the participation of heads of state and top policymakers, along with business leaders such as Jensen Huang, chief executive officer of NVIDIA, and Demis Hassabis, CEO of Google DeepMind.

Nvidia’s commitment in India coincides with rising global interest in India’s AI market, where OpenAI counts the country as its second-largest user base. U.S. rivals are also deepening ties: Google recently pledged $15 billion to build an AI hub in the southern city of Visakhapatnam.

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Wall Street is too fixated on the high valuations of tech and speculative stocks, Cramer says

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Wall Street is too fixated on the high valuations of tech and speculative stocks, Cramer says

Some stocks deserve a higher premium, says Jim Cramer

CNBC’s Jim Cramer suggested Wall Street is too fixated the on large valuations of certain tech and speculative stocks, chalking up Tuesday’s market-wide decline in part to Palantir‘s nearly 8% loss despite strong earnings results.

“The larger issue is that we’re at the moment where money managers, when asked if the market’s too expensive, immediately think of the high-flying speculative stocks or those in the high-growth artificial intelligence column, and so they warn you away from the entire asset class,” he said. “These guys don’t think of the other 334 stocks in the S&P 500 that sell for less than 23 times earnings — those aren’t outrageous.”

Declines in Palantir and other artificial intelligence companies helped bring stocks down on Tuesday, with the S&P 500 losing 1.17%, the Dow Jones Industrial Average shedding 0.53% and the tech-heavy Nasdaq Composite sinking 2.04%. Palantir managed to beat the estimates and offer solid guidance, citing growth in the artificial intelligence business. But investors worried broadly about the huge valuations of tech giants that have been leading the market to new heights.

Investors who saw Palantir as their “north star” were alarmed by its big pullback after a great quarter, according to Cramer. The fears triggered “a raft of selling” as these investors questioned the market as a whole, he continued.

Palantir can be a tough stock to classify, Cramer suggested, saying it straddles two different market segments — one centered around tech and artificial intelligence, and another focused on speculative stocks. He noted that the data-driven software company is very lucrative and fast growing, and it “defies easy description.” He listed off a number of its business arms — including its work as a defense contractor and as a consultant for companies looking to modernize and improve profitability.

To Cramer, it’s reasonable to consider that there’s nothing wrong with Palantir, and it just needs “to cool off in order to grow into its market capitalization.”

“Sure, there are indeed some stocks that are visibly overvalued, and when you pull them apart, many of these valuations can be justified, some can’t,” he said. “I think the Magnificent Seven can be justified on the pace of the growth that’s ahead of them. Same, ultimately, with Palantir.”

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